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Bauer, Stefan

  1. Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
    2018/11/05 by Bakas, Spyridon, Reyes, Mauricio, Jakab, Andras +421 · 42 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. 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
  3. Bayesian Structure Learning with Generative Flow Networks
    2022/02/28 by Tristan Deleu, Deleu, Tristan, António Góis +10 · 13 citations
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Topic Modeling
  4. Diffusion Models for Video Prediction and Infilling
    2022/06/15 by Tobias Höppe, Arash Mehrjou, Höppe, Tobias +6 · 10 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis
  5. A stable cohomotopy refinement of Seiberg-Witten invariants: I
    2002/04/29 by Stefan Bauer, Mikio Furuta, Bauer, Stefan +1 · 4 citations
    Mathematics · #55P42 #57R57 #Advanced Algebra and Geometry #Advanced Operator Algebra Research #Algebraic Topology (math.AT) #Differential Geometry (math.DG) #FOS: Mathematics #Homotopy and Cohomology in Algebraic Topology #math.AT #math.DG #msc:55P42 #msc:57R57
  6. A stable cohomotopy refinement of Seiberg-Witten invariants: II
    2002/04/22 by Stefan Bauer, Bauer, Stefan · 4 citations
    Mathematics · #55P42 #57R57 #Algebraic Topology (math.AT) #Differential Geometry (math.DG) #FOS: Mathematics #math.AT #math.DG #msc:55P42 #msc:57R57
  7. 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)
  8. Learning Neural Causal Models from Unknown Interventions
    2019/10/02 by Nan Rosemary Ke, Olexa Bilaniuk, Ke, Nan Rosemary +10 · 9 citations
    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 (stat.ML) #Machine Learning in Healthcare
  9. Machine learning-enabled high-entropy alloy discovery
    2022/02/28 by Ziyuan Rao, PoYen Tung, Rao, Ziyuan +30 · 8 citations
    Materials Science · Engineering · #Machine Learning in Materials Science #High Entropy Alloys Studies #Advanced Materials Characterization Techniques
  10. Diffusion-Based Representation Learning
    2021/05/29 by Korbinian Abstreiter, Mittal, Sarthak, 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
  11. The Essential Role of Causality in Foundation World Models for Embodied AI
    2024/02/06 by Gupta, Tarun, Gong, Wenbo, Ma, Chao +11 · 11 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  12. On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset
    2019/06/07 by Gondal, Muhammad Waleed, Wüthrich, Manuel, Miladinović, Đorđe +7 · 4 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. BayesDAG: Gradient-Based Posterior Inference for Causal Discovery
    2023/07/26 by Yashas Annadani, Annadani, Yashas, Nick Pawlowski +8 · 6 citations
    Computer Science · Environmental Science · Neuroscience · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Functional Brain Connectivity Studies #Health, Environment, Cognitive Aging #Machine Learning (cs.LG) #Methodology (stat.ME)
  14. Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation
    2020/11/29 by Schütte, August DuMont, Hetzel, Jürgen, Gatidis, Sergios +4 · 4 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #electronic engineering #information engineering
  15. Causal machine learning for single-cell genomics
    2023/10/23 by Tejada-Lapuerta, Alejandro, Bertin, Paul, Bauer, Stefan +3 · 5 citations
    #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG)
  16. Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning
    2021/07/02 by Ke, Nan Rosemary, Didolkar, Aniket, Mittal, Sarthak +7 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations
    2022/01/20 by Bing, Simon, Dittadi, Andrea, Bauer, Stefan +1 · 3 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. 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)
  19. Understanding Causality with Large Language Models: Feasibility and Opportunities
    2023/04/11 by Cheng Zhang, Zhang, Cheng, Bauer, Stefan +18 · 3 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
  20. 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
  21. CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
    2020/10/08 by Ahmed, Ossama, Träuble, Frederik, Goyal, Anirudh +5 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Robotics (cs.RO)
  22. 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
  23. NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments
    2021/03/20 by Sonali Parbhoo, Parbhoo, Sonali, Stefan Bauer +3 · 2 citations
    Computer Science · Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Methodology (stat.ME)
  24. Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
    2021/06/14 by Yashas Annadani, Annadani, Yashas, Jonas Rothfuss +11 · 3 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
  25. Panopticon: Advancing Any-Sensor Foundation Models for Earth Observation
    2025/03/13 by Waldmann, Leonard, Shah, Ando, Wang, Yi +6 · 7 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. Learning Neural Causal Models with Active Interventions
    2021/09/06 by Nino Scherrer, Scherrer, Nino, Olexa Bilaniuk +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
  27. Refined Seiberg-Witten invariants
    2003/12/31 by Stefan Bauer, Bauer, Stefan · 1 citation
    Mathematics · #55Qxx #57R57 #Advanced Combinatorial Mathematics #FOS: Mathematics #Geometric Topology (math.GT) #Geometric and Algebraic Topology #Homotopy and Cohomology in Algebraic Topology #math.GT #msc:55Qxx #msc:57R57
  28. Interventions, Where and How? Experimental Design for Causal Models at Scale
    2022/03/03 by Panagiotis Tigas, Yashas Annadani, Tigas, Panagiotis +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
  29. Almost complex 4-manifolds with vanishing first Chern class
    2006/07/27 by Stefan Bauer, Bauer, Stefan · 1 citation
    Mathematics · #FOS: Mathematics #Geometric Analysis and Curvature Flows #Geometric Topology (math.GT) #Geometric and Algebraic Topology #Geometry and complex manifolds
  30. Invariant Causal Mechanisms through Distribution Matching
    2022/06/23 by Mathieu Chevalley, Charlotte Bunne, Chevalley, Mathieu +4 · 2 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 Algorithms #Topic Modeling
  31. 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)
  32. From Points to Functions: Infinite-dimensional Representations in Diffusion Models
    2022/10/25 by Mittal, Sarthak, Lajoie, Guillaume, Bauer, Stefan +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. On the Transfer of Disentangled Representations in Realistic Settings
    2020/10/27 by Andrea Dittadi, Frederik Träuble, Dittadi, Andrea +13 · 2 citations
    Computer Science · #Computability, Logic, AI Algorithms #Machine Learning and Algorithms #Generative Adversarial Networks and Image Synthesis
  34. Benchmarking Offline Reinforcement Learning on Real-Robot Hardware
    2023/07/28 by Gürtler, Nico, Blaes, Sebastian, Kolev, Pavel +5 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  35. Causal Feature Selection via Orthogonal Search
    2020/07/06 by Soleymani, Ashkan, Raj, Anant, Bauer, Stefan +2 · 1 citation
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
  36. Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseases
    2021/03/24 by Mehrjou, Arash, Soleymani, Ashkan, Abyaneh, Amin +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Multiagent Systems (cs.MA) #Populations and Evolution (q-bio.PE) #Systems and Control (eess.SY) #electronic engineering #information engineering
  37. Preference-Guided Diffusion for Multi-Objective Offline Optimization
    2025/03/21 by Yashas Annadani, Syrine Belakaria, Annadani, Yashas +7 · 4 citations
    Computer Science · Engineering · #Advanced Multi-Objective Optimization Algorithms #Topology Optimization in Engineering #Metaheuristic Optimization Algorithms Research
  38. The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents
    2021/07/12 by Dittadi, Andrea, Träuble, Frederik, Wüthrich, Manuel +7 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  39. GeneDisco: A Benchmark for Experimental Design in Drug Discovery
    2021/10/22 by Mehrjou, Arash, Soleymani, Ashkan, Jesson, Andrew +4 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  40. Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models
    2024/07/22 by Amir Mohammad Karimi Mamaghan, Samuele Papa, Mamaghan, Amir Mohammad Karimi +7 · 2 citations
    Computer Science · Psychology · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Visual Attention and Saliency Detection #Visual and Cognitive Learning Processes
  41. Federated Learning in Multi-Center Critical Care Research: A Systematic Case Study using the eICU Database
    2022/04/20 by Mehrjou, Arash, Soleymani, Ashkan, Buchholz, Annika +3 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  42. Differentiable Multi-Target Causal Bayesian Experimental Design
    2023/02/21 by Annadani, Yashas, Tigas, Panagiotis, Ivanova, Desi R. +4 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Methodology (stat.ME)
  43. Molecular causality in the advent of foundation models
    2024/01/17 by Sebastian Lobentanzer, Lobentanzer, Sebastian, Pablo Rodríguez-Mier +4 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #Biomedical Text Mining and Ontologies #FOS: Biological sciences #Genetics, Bioinformatics, and Biomedical Research #Molecular Networks (q-bio.MN)
  44. DRCFS: Doubly Robust Causal Feature Selection
    2023/06/12 by Francesco Quinzan, Quinzan, Francesco, Ashkan Soleymani +6 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Metabolomics and Mass Spectrometry Studies #Methodology (stat.ME)
  45. Amortized Active Causal Induction with Deep Reinforcement Learning
    2024/05/26 by Annadani, Yashas, Tigas, Panagiotis, Bauer, Stefan +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  46. A scalable gene network model of regulatory dynamics in single cells
    2025/03/25 by Paul A. Bertin, Bertin, Paul, Joseph D. Viviano +10 · 1 citation
    Biochemistry, Genetics and Molecular Biology · #FOS: Biological sciences #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Molecular Networks (q-bio.MN)