Bernhard Schölkopf
- Borges and AI
2023/09/27 by Léon Bottou, Bernhard Schölkopf, Bottou, Léon +1 · 15 voices · 1 citation
#cs.CL #cs.AI #cs.LG
- Toward Causal Representation Learning
2021/02/26 by Bernhard Scholkopf, Bernhard Schölkopf, Francesco Locatello +5 · 162 citations
Computer Science · #Bayesian Modeling and Causal Inference #Anomaly Detection Techniques and Applications #AI-based Problem Solving and Planning
- Estimating the Support of a High-Dimensional Distribution
2001/07/01 by Bernhard Schölkopf, John C. Platt, John Platt +5 · 96 citations
Computer Science · #Face and Expression Recognition #Machine Learning and Algorithms #Machine Learning and Data Classification
- Causality for Machine Learning
2019/11/24 by Bernhard Schölkopf · 3 voices · 17 citations
Computer Science · #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #Machine Learning and Algorithms #cs.AI #cs.LG #stat.ML
- A tutorial on support vector regression
2004/07/19 by Alex J. Smola, Alex Smola, Bernhard Schölkopf · 68 citations
Computer Science · #Face and Expression Recognition #Machine Learning and Algorithms #Neural Networks and Applications
- Open X-Embodiment: Robotic Learning Datasets and RT-X Models
2023/10/13 by Embodiment Collaboration, O'Neill, Abby, Rehman, Abdul +349 · 175 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- Towards Total Recall in Industrial Anomaly Detection
2021/06/15 by Karsten Roth, Roth, Karsten, Latha Pemula +9 · 100 citations
Computer Science · Engineering · #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Industrial Vision Systems and Defect Detection
- A Kernel Method for the Two-Sample Problem
2008/05/15 by Arthur Gretton, Karsten Borgwardt, Gretton, Arthur +7 · 61 citations
Computer Science · #Data Stream Mining Techniques #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms
- Hilbert space embeddings and metrics on probability measures
2009/07/30 by Bharath K. Sriperumbudur, Sriperumbudur, Bharath K., Arthur Gretton +7 · 30 citations
Computer Science · Medicine · #Advanced Neuroimaging Techniques and Applications #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Topological and Geometric Data Analysis
- Towards Causal Representation Learning
2021/02/22 by Bernhard Schölkopf, Schölkopf, Bernhard, Francesco Locatello +11 · 2 voices · 11 citations
Computer Science · Decision Sciences · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG
- Self-Supervised Learning with Data Augmentations Provably Isolates\n Content from Style
2021/06/08 by Julius von Kügelgen, Yash Sharma, von Kügelgen, Julius +11 · 28 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Processing Techniques and Applications #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Imagining and building wise machines: The centrality of AI metacognition
2024/11/04 by Samuel G. B. Johnson, Johnson, Samuel G. B., Amir-Hossein Karimi +19 · 10 voices · 4 citations
#cs.AI #cs.CY #cs.HC
- Algorithmic Recourse: from Counterfactual Explanations to Interventions
2020/02/14 by Amir-Hossein Karimi, Bernhard Schölkopf, Karimi, Amir-Hossein +3 · 20 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- CLadder: Assessing Causal Reasoning in Language Models
2023/12/07 by Jin ZQ, Jin, Zhijing, Yuen Chen +19 · 29 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Flow Matching for Scalable Simulation-Based Inference
2023/05/26 by Maximilian Dax, Dax, Maximilian, Jonas Wildberger +9 · 25 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Neural Networks and Applications #Computational Physics and Python Applications
- On integral probability metrics, ϕ-divergences and binary classification
2009/01/18 by Bharath K. Sriperumbudur, Kenji Fukumizu, Sriperumbudur, Bharath K. +7 · 11 citations
Mathematics · Physics and Astronomy · #Advanced Statistical Methods and Models #FOS: Computer and information sciences #Fuzzy Systems and Optimization #Information Theory (cs.IT) #Statistical Mechanics and Entropy
- Bridging the Gap to Real-World Object-Centric Learning
2022/09/29 by Maximilian Seitzer, Seitzer, Maximilian, Max Horn +19 · 20 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning
- Controlling Text-to-Image Diffusion by Orthogonal Finetuning
2023/06/12 by Zeju Qiu, Qiu, Zeju, Weiyang Liu +15 · 23 citations
Computer Science · Physics and Astronomy · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Graphics (cs.GR) #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Flow Annealed Importance Sampling Bootstrap
2022/08/03 by Laurence Illing Midgley, Midgley, Laurence Illing, Vincent Stimper +7 · 19 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · Materials Science · #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Mass Spectrometry Techniques and Applications #Protein Structure and Dynamics #Quantitative Methods (q-bio.QM)
- A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations
2022/04/04 by Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf +1 · 18 citations
Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI
- Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA
2024/04/22 by Nihar Gupte, Gupte, Nihar, A. Ramos-Buades +27 · 1 voice · 19 citations
Physics and Astronomy · #Pulsars and Gravitational Waves Research #Gamma-ray bursts and supernovae #Astrophysical Phenomena and Observations
- Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
2024/04/25 by Giorgio Piatti, Zhijing Jin, Piatti, Giorgio +9 · 27 citations
Computer Science · Decision Sciences · #Auction Theory and Applications #Computation and Language (cs.CL) #FOS: Computer and information sciences #Open Source Software Innovations
- Can Large Language Models Infer Causation from Correlation?
2023/06/09 by Zhijing Jin, Jin, Zhijing, Jiarui Liu +13 · 20 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Advanced Graph Neural Networks
- Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion
2023/01/27 by Flavio Schneider, Schneider, Flavio, Kamal, Ojasv +4 · 18 citations
Computer Science · #Music and Audio Processing #Music Technology and Sound Studies #Generative Adversarial Networks and Image Synthesis
- Language Model Alignment in Multilingual Trolley Problems
2024/07/02 by Zhijing Jin, Max Kleiman‐Weiner, Max Kleiman-Weiner +22 · 2 voices · 13 citations
Computer Science · #Natural Language Processing Techniques
- Distinguishing cause from effect using observational data: methods and benchmarks
2014/12/11 by Joris M. Mooij, Jonas Peters, Dominik Janzing +2 · 2 voices · 1 citation
#cs.LG #cs.AI #stat.ML #stat.OT
- Recurrent Independent Mechanisms
2019/09/24 by Anirudh Goyal, Goyal, Anirudh, Alex Lamb +11 · 11 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Modular Robots and Swarm Intelligence #Reinforcement Learning in Robotics
- Provably Learning Object-Centric Representations
2023/05/23 by Jack Brady, R. Zimmermann, Brady, Jack +9 · 12 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models
2025/11/11 by Léo Grinsztajn, Klemens Flöge, Grinsztajn, Léo +46 · 2 voices · 8 citations
Computer Science · #Machine Learning and Data Classification #Explainable Artificial Intelligence (XAI) #Advanced Neural Network Applications
- Learning to Play Table Tennis From Scratch using Muscular Robots
2020/06/10 by Dieter Büchler, Simon Guist, Büchler, Dieter +9 · 8 citations
Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Muscle activation and electromyography studies #Prosthetics and Rehabilitation Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- From Variational to Deterministic Autoencoders
2019/03/29 by Partha Ghosh, Ghosh, Partha, Mehdi S. M. Sajjadi +7 · 9 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization
2023/11/10 by Weiyang Liu, Zeju Qiu, Liu, Weiyang +25 · 13 citations
Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- Causal Influence Detection for Improving Efficiency in Reinforcement Learning
2021/06/07 by Maximilian Seitzer, Bernhard Schölkopf, Seitzer, Maximilian +3 · 8 citations
Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques #Bayesian Modeling and Causal Inference
- Robustly Disentangled Causal Mechanisms: Validating Deep Representations\n for Interventional Robustness
2018/10/31 by Raphael Suter, Suter, Raphael, Đorđe Miladinović +5 · 8 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI)
- Diffusion-Based Representation Learning
2021/05/29 by Mittal, Sarthak, Korbinian Abstreiter, Abstreiter, Korbinian +5 · 7 citations
Computer Science · Physics and Astronomy · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Model Reduction and Neural Networks
- Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
2023/06/04 by Simon Buchholz, Goutham Rajendran, Buchholz, Simon +9 · 10 citations
Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Geochemistry and Geologic Mapping #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
- SE(3) Equivariant Augmented Coupling Flows
2023/08/20 by Laurence I. Midgley, Midgley, Laurence I., Vincent Stimper +9 · 10 citations
Computer Science · Engineering · #Advanced Mathematical Modeling in Engineering #Computational Physics (physics.comp-ph) #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Heat and Mass Transfer in Porous Media #Machine Learning (cs.LG)
- Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
2022/03/29 by Siyuan Guo, Guo, Siyuan, Viktor R. Tóth +5 · 8 citations
Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Neural Networks and Applications #Statistics Theory (math.ST)
- Artificial intelligence for modelling infectious disease epidemics
2025/02/19 by Moritz U. G. Kraemer, Joseph L.-H. Tsui, Serina Y. Chang +41 · 2 voices · 12 citations
Mathematics · Medicine · #COVID-19 epidemiological studies #Data-Driven Disease Surveillance #Viral Infections and Outbreaks Research
- International AI Safety Report
2025/01/29 by Yoshua Bengio, Bengio, Yoshua, Sören Mindermann +180 · 17 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Generalized Interpolating Discrete Diffusion
2025/03/06 by Dimitri von Rütte, Janis Fluri, von Rütte, Dimitri +9 · 19 citations
Computer Science · Social Sciences · #Topic Modeling #Authorship Attribution and Profiling #Computational and Text Analysis Methods
- Learning explanations that are hard to vary
2020/09/01 by Giambattista Parascandolo, Alexander Neitz, Parascandolo, Giambattista +7 · 6 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
- Generalization and Robustness Implications in Object-Centric Learning
2021/07/01 by Andrea Dittadi, Samuele Papa, Dittadi, Andrea +8 · 6 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Can Large Language Models Understand Symbolic Graphics Programs?
2024/08/15 by Zeju Qiu, Weiyang Liu, Qiu, Zeju +18 · 2 voices · 9 citations
Computer Science · #Model-Driven Software Engineering Techniques
- Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift Hypothesis
2022/06/04 by Ronan Perry, Perry, Ronan, Julius von Kügelgen +3 · 5 citations
Computer Science · Environmental Science · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Health, Environment, Cognitive Aging #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Sample-Efficient Reinforcement Learning via Counterfactual-Based Data Augmentation
2020/12/16 by Chaochao Lu, Lu, Chaochao, Biwei Huang +9 · 5 citations
Computer Science · Decision Sciences · Mathematics · #Reinforcement Learning in Robotics #Advanced Bandit Algorithms Research #Advanced Causal Inference Techniques
- On the Fairness of Causal Algorithmic Recourse
2020/10/13 by Julius von Kügelgen, von Kügelgen, Julius, Amir-Hossein Karimi +9 · 4 citations
Neuroscience · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Psychology of Moral and Emotional Judgment
- AdaGAN: Boosting Generative Models
2017/01/09 by Ilya Tolstikhin, Tolstikhin, Ilya, Sylvain Gelly +7 · 1 voice · 1 citation
Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.LG #stat.ML
- Action-Sufficient State Representation Learning for Control with Structural Constraints
2021/10/12 by Biwei Huang, Huang, Biwei, Chaochao Lu +11 · 4 citations
Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Data Stream Mining Techniques
- Generalization in anti-causal learning
2018/12/03 by Niki Kilbertus, Kilbertus, Niki, Giambattista Parascandolo +3 · 7 citations
Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
- A survey of algorithmic recourse: definitions, formulations, solutions,\n and prospects
2020/10/08 by Amir-Hossein Karimi, Gilles Barthe, Karimi, Amir-Hossein +5 · 8 citations
Social Sciences · Computer Science · #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data
- Kernel Stein Tests for Multiple Model Comparison
2019/10/27 by Jen Ning Lim, Makoto Yamada, Lim, Jen Ning +5 · 4 citations
Mathematics · Decision Sciences · #Statistical Methods and Bayesian Inference #Advanced Statistical Process Monitoring #Advanced Statistical Methods and Models
- AutoML Two-Sample Test
2022/06/17 by Jonas M. Kübler, Kübler, Jonas M., Vincent Stimper +7 · 4 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Leveraging sparse and shared feature activations for disentangled representation learning
2023/04/17 by Marco Fumero, Fumero, Marco, Florian Wenzel +13 · 5 citations
Computer Science · #Digital Media Forensic Detection #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Kernel Mean Shrinkage Estimators
2014/05/21 by Krikamol Muandet, Muandet, Krikamol, Bharath K. Sriperumbudur +7 · 2 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Statistical Methods and Inference #Gaussian Processes and Bayesian Inference
- Verbalized Machine Learning: Revisiting Machine Learning with Language Models
2024/06/06 by Tim Z. Xiao, Robert Bamler, Xiao, Tim Z. +5 · 1 voice · 4 citations
Computer Science · #Topic Modeling
- Fidelity-Weighted Learning
2017/11/08 by Mostafa Dehghani, Dehghani, Mostafa, Arash Mehrjou +7 · 3 citations
Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Domain Adaptation and Few-Shot Learning
- Structure and Dynamics of Information Pathways in Online Media
2012/12/06 by Manuel Gomez-Rodriguez, Jure Leskovec, Rodriguez, Manuel Gomez +3 · 2 citations
Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Opinion Dynamics and Social Influence #Misinformation and Its Impacts
- Learning from Distributions via Support Measure Machines
2012/02/29 by Krikamol Muandet, Kenji Fukumizu, Muandet, Krikamol +5 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
2023/07/05 by Simon Guist, Guist, Simon, Schneider, Jan +17 · 4 citations
Engineering · #Robot Manipulation and Learning #Muscle activation and electromyography studies #Prosthetics and Rehabilitation Robotics
- Embrace the Gap: VAEs Perform Independent Mechanism Analysis
2022/06/06 by Patrik Reizinger, Luigi Gresele, Reizinger, Patrik +15 · 3 citations
Physics and Astronomy · Computer Science · Biochemistry, Genetics and Molecular Biology · #Model Reduction and Neural Networks #Domain Adaptation and Few-Shot Learning #Protein Structure and Dynamics
- TriFinger: An Open-Source Robot for Learning Dexterity
2020/08/08 by Manuel Wüthrich, Wüthrich, Manuel, Felix Widmaier +27 · 3 citations
Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Robot Manipulation and Learning #Robotics (cs.RO)
- DARS: Dynamic Action Re-Sampling to Enhance Coding Agent Performance by Adaptive Tree Traversal
2025/03/18 by Vaibhav Aggarwal, Ojasv Kamal, Aggarwal, Vaibhav +7 · 1 voice · 7 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Software Engineering (cs.SE) #cs.CL #cs.SE
- Implicit Personalization in Language Models: A Systematic Study
2024/05/23 by Zhijing Jin, Nils Heil, Jin, Zhijing +13 · 1 voice · 3 citations
Computer Science · #Speech and dialogue systems #Topic Modeling #cs.AI #cs.CL #cs.CY #cs.HC #cs.LG
- On Disentangled Representations Learned From Correlated Data
2020/06/14 by Frederik Träuble, Elliot Creager, Träuble, Frederik +13 · 2 citations
Computer Science · #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Neural Networks and Applications
- Learning Kernel Tests Without Data Splitting
2020/06/03 by Jonas M. Kübler, Wittawat Jitkrittum, Kübler, Jonas M. +5 · 2 citations
Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Statistical Methods and Inference
- Nonlinear Invariant Risk Minimization: A Causal Approach
2021/02/24 by Chaochao Lu, Lu, Chaochao, Yuhuai Wu +5 · 3 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- A Measure-Theoretic Axiomatisation of Causality
2023/05/19 by Junhyung Park, Park, Junhyung, Simon Buchholz +5 · 3 citations
Arts and Humanities · Computer Science · Physics and Astronomy · #Philosophy and History of Science #Computability, Logic, AI Algorithms #Statistical Mechanics and Entropy
- Function Contrastive Learning of Transferable Meta-Representations
2020/10/14 by Muhammad Waleed Gondal, Shruti Joshi, Gondal, Muhammad Waleed +9 · 2 citations
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Learning Neural Causal Models with Active Interventions
2021/09/06 by Nino Scherrer, Olexa Bilaniuk, Scherrer, Nino +17 · 2 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- A systematic search for transiting planets in the K2 data
2015/02/16 by Daniel Foreman-Mackey, Benjamin T. Montet, Foreman-Mackey, Daniel +9 · 1 voice · 1 citation
#astro-ph.EP #astro-ph.IM
- Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
2024/06/27 by Amartya Sanyal, Yaxi Hu, Sanyal, Amartya +9 · 4 citations
Computer Science · Decision Sciences · Mathematics · #Advanced Statistical Process Monitoring #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- Towards causal generative scene models via competition of experts
2020/04/27 by Julius von Kügelgen, Ivan Ustyuzhaninov, von Kügelgen, Julius +7 · 6 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #Computer Graphics and Visualization Techniques #Image Processing and 3D Reconstruction
- Phenomenology of Double Descent in Finite-Width Neural Networks
2022/03/14 by Sidak Pal Singh, Aurélien Lucchi, Singh, Sidak Pal +5 · 2 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Neural Networks and Applications #Machine Learning and ELM
- Interventions, Where and How? Experimental Design for Causal Models at Scale
2022/03/03 by Panagiotis Tigas, Tigas, Panagiotis, Yashas Annadani +8 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample Guarantee
2022/04/25 by Yassine Nemmour, Heiner Kremer, Nemmour, Yassine +5 · 2 citations
Decision Sciences · Economics, Econometrics and Finance · Engineering · #Risk and Portfolio Optimization #Monetary Policy and Economic Impact #Reservoir Engineering and Simulation Methods
- Homomorphism Autoencoder -- Learning Group Structured Representations from Observed Transitions
2022/07/25 by Hamza Keurti, Keurti, Hamza, Hsiao-Ru Pan +7 · 2 citations
Computer Science · #Machine Learning in Healthcare
- DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
2022/10/01 by Cian Eastwood, Eastwood, Cian, Andrei Liviu Nicolicioiu +11 · 2 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science
- Compositional Multi-Object Reinforcement Learning with Linear Relation Networks
2022/01/31 by Davide Mambelli, Mambelli, Davide, Frederik Träuble +6 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning
2023/01/12 by Yuejiang Liu, Alexandre Alahi, Liu, Yuejiang +11 · 2 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #Acute Ischemic Stroke Management
- Informative Features for Model Comparison
2018/10/27 by Wittawat Jitkrittum, Jitkrittum, Wittawat, Heishiro Kanagawa +9 · 2 citations
Computer Science · #46E22 #62G10 #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #G.3 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Do Finetti: On Causal Effects for Exchangeable Data
2024/05/29 by Siyuan Guo, Chi Zhang, Guo, Siyuan +7 · 1 voice · 2 citations
Economics, Econometrics and Finance · #Italy: Economic History and Contemporary Issues #cs.LG #stat.ME
- The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks
2023/06/14 by Aaron Spieler, Nasim Rahaman, Spieler, Aaron +7 · 2 citations
Computer Science · Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Reservoir Computing #Neural and Evolutionary Computing (cs.NE) #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC)
- On the Transfer of Disentangled Representations in Realistic Settings
2020/10/27 by Andrea Dittadi, Dittadi, Andrea, Frederik Träuble +13 · 2 citations
Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Generative Adversarial Networks and Image Synthesis
- Hindsight States: Blending Sim and Real Task Elements for Efficient Reinforcement Learning
2023/03/03 by Simon Guist, Guist, Simon, Schneider, Jan +8 · 2 citations
Computer Science · Economics, Econometrics and Finance · #Reinforcement Learning in Robotics #Sports Analytics and Performance #Explainable Artificial Intelligence (XAI)
- Self-Supervised Disentanglement by Leveraging Structure in Data Augmentations
2023/11/15 by Cian Eastwood, Eastwood, Cian, Julius von Kügelgen +11 · 2 citations
Computer Science · #AI in cancer detection #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Do Language Models Exhibit the Same Cognitive Biases in Problem Solving as Human Learners?
2024/01/31 by Andreas Opedal, Opedal, Andreas, Alessandro Stolfo +13 · 2 citations
Social Sciences · Psychology · #Education and Critical Thinking Development #Emotional Intelligence and Performance
- Towards a Learning Theory of Cause-Effect Inference
2015/02/09 by David López-Paz, Krikamol Muandet, Lopez-Paz, David +5 · 2 citations
Computer Science · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Blind Source Separation Techniques
- MathGAP: Out-of-Distribution Evaluation on Problems with Arbitrarily Complex Proofs
2024/10/17 by Andreas Opedal, Opedal, Andreas, Haruki Shirakami +7 · 1 voice · 2 citations
#cs.LG #cs.AI #cs.CL
- Assaying Large-scale Testing Models to Interpret COVID-19 Case Numbers
2020/12/03 by Michel Besserve, Besserve, Michel, Simon Buchholz +3 · 1 citation
Mathematics · Medicine · #Applications (stat.AP) #COVID-19 epidemiological studies #FOS: Biological sciences #FOS: Computer and information sciences #Populations and Evolution (q-bio.PE) #SARS-CoV-2 and COVID-19 Research
- Analyzing the Role of Semantic Representations in the Era of Large Language Models
2024/05/02 by Zhijing Jin, Yuen Chen, Jin, Zhijing +13 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies #Topic Modeling
- Landscaping Linear Mode Connectivity
2024/06/24 by Sidak Pal Singh, Linara Adilova, Singh, Sidak Pal +9 · 2 citations
Computer Science · #Energy Efficient Wireless Sensor Networks
- Regret Bounds for Gaussian-Process Optimization in Large Domains
2021/04/29 by Manuel Wüthrich, Bernhard Schölkopf, Wüthrich, Manuel +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
- Algorithmic Recourse in Partially and Fully Confounded Settings Through Bounding Counterfactual Effects
2021/06/22 by Julius von Kügelgen, von Kügelgen, Julius, Nikita Agarwal +7 · 1 citation
Computer Science · Mathematics · Social Sciences · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
2024/10/02 by Klaus-Rudolf Kladny, Bernhard Schölkopf, Kladny, Klaus-Rudolf +3 · 4 citations
Computer Science · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Model Reduction and Neural Networks
- Unsupervised Object Learning via Common Fate
2021/10/13 by Matthias Tangemann, Tangemann, Matthias, Steffen Schneider +15 · 1 citation
Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Vision and Imaging #Advanced Image and Video Retrieval Techniques
- Source-Free Adaptation to Measurement Shift via Bottom-Up Feature Restoration
2021/07/12 by Cian Eastwood, Eastwood, Cian, Ian Mason +5 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
- Computational Arbitrage in AI Model Markets
2026/03/23 by Ricardo Olmedo, Bernhard Schölkopf, Moritz Hardt · 2 voices
Computer Science · #cs.AI #cs.LG
- Generative Intervention Models for Causal Perturbation Modeling
2024/11/21 by Nora Schneider, Schneider, Nora, Lars Lorch +7 · 2 citations
Decision Sciences · #Simulation Techniques and Applications
- You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction
2021/10/11 by Osama Makansi, Makansi, Osama, Julius von Kügelgen +11 · 1 citation
Computer Science · #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- Physics of Learning: A Lagrangian perspective to different learning paradigms
2025/09/25 by Siyuan Guo, Bernhard Schölkopf, Guo, Siyuan +1 · 1 voice
Computer Science · Psychology · #FOS: Computer and information sciences #Innovative Teaching and Learning Methods #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #cs.LG #cs.NE
- Structural Causal 3D Reconstruction
2022/07/20 by Weiyang Liu, Zhen Liu, Liu, Weiyang +7 · 1 citation
Computer Science · Engineering · #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medical Image Segmentation Techniques #Robotics and Sensor-Based Localization
- Spectral Representation Learning for Conditional Moment Models
2022/10/29 by Ziyu Wang, Wang, Ziyu, Yucen Luo +7 · 1 citation
Computer Science · #Bayesian Modeling and Causal Inference #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Direct Imaging Discovery of Giant Exoplanet <i>β</i> Pictoris d: A Decade-long Game of Hide-and-seek
2026/06/22 by Ben J. Sutlieff, Markus J. Bonse, Valentin Christiaens +94 · 4 voices
Physics and Astronomy · #Stellar, planetary, and galactic studies #Astronomy and Astrophysical Research #Adaptive optics and wavefront sensing
- Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity Gap
2023/03/11 by Weiyang Liu, Liu, Weiyang, Longhui Yu +5 · 1 citation
Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- On the Interventional Kullback-Leibler Divergence
2023/02/10 by Jonas Wildberger, Siyuan Guo, Wildberger, Jonas +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms
- In-silico biological discovery with large perturbation models
2025/03/30 by Djordje Miladinovic, Miladinovic, Djordje, Tobias Höppe +15 · 2 citations
Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Cell Image Analysis Techniques #Gene Regulatory Network Analysis
- The Hessian perspective into the Nature of Convolutional Neural Networks
2023/05/16 by Sidak Pal Singh, Thomas Hofmann, Singh, Sidak Pal +3 · 1 citation
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Ferroelectric and Negative Capacitance Devices #Advanced Memory and Neural Computing
- From Pixels to Components: Eigenvector Masking for Visual Representation Learning
2025/02/10 by Alice Bizeul, Thomas Sutter, Thomas M. Sutter +10 · 2 voices · 1 citation
Computer Science · #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques #cs.AI #cs.CV #cs.LG
- When Ethics and Payoffs Diverge: LLM Agents in Morally Charged Social Dilemmas
2025/05/25 by Steffen Backmann, Backmann, Steffen, David Guzman Piedrahita +10 · 4 citations
Economics, Econometrics and Finance · #Law, Economics, and Judicial Systems #cs.AI #cs.CL #cs.CY
- Identifying Policy Gradient Subspaces
2024/01/12 by Pierre Schumacher, Schneider, Jan, Simon Guist +10 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #I.2.6 #Machine Learning (cs.LG) #Machine Learning and ELM #Reinforcement Learning in Robotics
- Towards fully covariant machine learning
2023/01/31 by Soledad Villar, David W. Hogg, Villar, Soledad +7 · 1 citation
Computer Science · Decision Sciences · #Computational Physics and Python Applications #Data Analysis #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mathematical Physics (math-ph) #Scientific Computing and Data Management #Statistics and Probability (physics.data-an)
- Inferring Atmospheric Properties of Exoplanets with Flow Matching and Neural Importance Sampling
2023/12/13 by Timothy D. Gebhard, Jonas Wildberger, Gebhard, Timothy D. +9 · 1 citation
Engineering · #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Computer and information sciences #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Machine Learning (cs.LG) #Reservoir Engineering and Simulation Methods
- Are Language Models Consequentialist or Deontological Moral Reasoners?
2025/05/27 by Keenan Samway, Samway, Keenan, Max Kleiman‐Weiner +9 · 3 citations
Arts and Humanities · Computer Science · Social Sciences · #Computation and Language (cs.CL) #Epistemology, Ethics, and Metaphysics #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Multi-Agent Systems and Negotiation
- Is Generation Required for Data-Efficient Perception?
2025/12/09 by Jack Brady, Brady, Jack, Bernhard Schölkopf +7 · 1 voice
Computer Science · Neuroscience · #Generative Adversarial Networks and Image Synthesis #Face Recognition and Perception #Visual perception and processing mechanisms
- Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
2023/07/19 by Cian Eastwood, Shashank Kumar Singh, Eastwood, Cian +9 · 1 citation
Computer Science · #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning #Anomaly Detection Techniques and Applications
- Can Theoretical Physics Research Benefit from Language Agents?
2025/06/06 by Sirui Lu, Lu, Sirui, Zhijing Jin +9 · 3 citations
Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning in Materials Science #Mathematical Physics (math-ph) #Multimodal Machine Learning Applications #Quantum Physics (quant-ph) #Topic Modeling
- Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling
2025/06/11 by Tim Z. Xiao, Xiao, Tim Z., Johannes Zenn +9 · 1 citation
Computer Science · Medicine · #Topic Modeling #Natural Language Processing Techniques #Artificial Intelligence in Healthcare and Education
- Likelihood Annealing: Fast Calibrated Uncertainty for Regression
2023/02/21 by Uddeshya Upadhyay, Jae Myung Kim, Upadhyay, Uddeshya +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models
2025/06/15 by David Guzman Piedrahita, Piedrahita, David Guzman, Irene Strauss +7 · 2 citations
Computer Science · #Natural Language Processing Techniques #Hate Speech and Cyberbullying Detection
- Causal vs. Anticausal merging of predictors
2025/01/14 by Sergio Hernan Garrido Mejia, Mejia, Sergio Hernan Garrido, Patrick Blöbaum +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
- Competitive Training of Mixtures of Independent Deep Generative Models
2018/04/30 by Francesco Locatello, Damien Vincent, Locatello, Francesco +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- International AI Safety Report 2025: First Key Update: Capabilities and Risk Implications
2025/10/15 by Yoshua Bengio, Stephen Clare, Bengio, Yoshua +134 · 1 citation
Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences
- Scaling Behavior of Discrete Diffusion Language Models
2025/12/11 by Dimitri von Rütte, Janis Fluri, von Rütte, Dimitri +9 · 1 citation
Social Sciences · Computer Science · #Language and cultural evolution #Authorship Attribution and Profiling #Topic Modeling
- Causality can systematically address the monsters under the bench(marks)
2025/02/07 by Felix Leeb, Leeb, Felix, Zhijing Jin +3 · 1 citation
Computer Science · #Computational Physics and Python Applications
- From Observation to Insight: Mechanistic World Models and the Quest for Autonomous Discovery
2026/07/14 by Ingmar Posner, Anson Lei, Bernhard Schölkopf · 1 voice
Computer Science · #cs.AI
- How Does Alignment Tuning Shape Representations of Sycophancy and Related Cue-Induced Biases in LLMs?
2026/07/20 by Prakhar Gupta, Terry Jingchen Zhang, Florent Draye +2
#cs.CL #cs.AI #cs.LG