- Even big data does not speak for itself
2026/07/27 by Jürgen Landes · 1 voice
Computer Science · #Bayesian Modeling and Causal Inference #Gaussian Processes and Bayesian Inference #Explainable Artificial Intelligence (XAI)
- KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
2025/12/22 by Eric Zimmermann, Zimmermann, Eric, Harley Wiltzer +7 · 1 citation
Computer Science · #Neural Networks and Applications #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference
- LitePT: Lighter Yet Stronger Point Transformer
2025/12/15 by Yuanwen Yue, Damien Robert, Yue, Yuanwen +11 · 1 voice · 2 citations
Computer Science · Engineering · Materials Science · #3D Shape Modeling and Analysis #Gaussian Processes and Bayesian Inference #Machine Learning in Materials Science #cs.CV
- Joint Bayesian Inference of Parameter and Discretization Error Uncertainties in ODE Models
2025/11/28 by Toyota, Shoji, Miyatake, Yuto · 2 citations
Computer Science · Decision Sciences · Physics and Astronomy · #Gaussian Processes and Bayesian Inference #Probabilistic and Robust Engineering Design #Model Reduction and Neural Networks
- A Generalized Bias-Variance Decomposition for Bregman Divergences
2025/11/11 by David Pfau, Pfau, David · 1 voice · 2 citations
Physics and Astronomy · Computer Science · #Statistical Mechanics and Entropy #Stochastic Gradient Optimization Techniques #Gaussian Processes and Bayesian Inference
- Robust Global Fr'echet Regression via Weight Regularization
2025/11/05 by Hao Li, Li, Hao, Shonosuke Sugasawa +3 · 1 citation
Mathematics · Computer Science · #Statistical Methods and Inference #Advanced Statistical Methods and Models #Gaussian Processes and Bayesian Inference
- Partial Information Decomposition via Normalizing Flows in Latent Gaussian Distributions
2025/10/06 by Wenyuan Zhao, Zhao, Wenyuan, A. P. Balachandran +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Information Theory (cs.IT) #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
- Colibri: A new tool for fast-flying PDF fits
2025/10/03 by Mark N. Costantini, Luca Mantani, Costantini, Mark N. +7 · 2 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #High Energy Physics - Phenomenology (hep-ph) #Particle physics theoretical and experimental studies
- Online reinforcement learning via sparse Gaussian mixture model Q-functions
2025/09/18 by Minh Vu, Vu, Minh, Konstantinos Slavakis +1 · 1 citation
Computer Science · #Adaptive Dynamic Programming Control #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics
- uGMM-NN: Univariate Gaussian Mixture Model Neural Network
2025/09/09 by Zakeria Sharif Ali, Ali, Zakeria Sharif · 4 voices
Computer Science · #Generative Adversarial Networks and Image Synthesis #Gaussian Processes and Bayesian Inference #Domain Adaptation and Few-Shot Learning
- When (not) to trust Monte Carlo approximations for hierarchical Bayesian inference
2025/09/08 by J. Heinzel, Heinzel, Jack, S. Vitale +1 · 3 citations
Physics and Astronomy · Computer Science · #Pulsars and Gravitational Waves Research #Statistical Mechanics and Entropy #Gaussian Processes and Bayesian Inference
- Instance-Dependent Continuous-Time Reinforcement Learning via Maximum Likelihood Estimation
2025/08/04 by Runze Zhao, Zhao, Runze, Yue Yu +7 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- CauKer: Classification Time Series Foundation Models Can Be Pretrained on Synthetic Data
2025/08/04 by Xie, Shifeng, Vasilii Feofanov, Ambroise Odonnat +13 · 5 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
- Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator
2025/07/24 by Yuxin Li, Li, YuXin, Felix Dangel +5 · 4 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Stochastic Gradient Optimization Techniques
- Steering Out-of-Distribution Generalization with Concept Ablation Fine-Tuning
2025/07/22 by Helena Casademunt, Casademunt, Helena, C. Hsein Juang +9 · 9 citations
Computer Science · #Time Series Analysis and Forecasting #Advanced Data Compression Techniques #Gaussian Processes and Bayesian Inference
- All-sky search for short gravitational-wave bursts in the first part of the fourth LIGO-Virgo-KAGRA observing run
2025/07/16 by LIGO Scientific Collaboration, Virgo Collaboration, KAGRA Collaboration · 4 citations
Physics and Astronomy · Computer Science · #Pulsars and Gravitational Waves Research #Gamma-ray bursts and supernovae #Gaussian Processes and Bayesian Inference
- On learning Gaussian multi‐index models with gradient flow part I: General properties and two‐timescale learning
2025/07/15 by Alberto Bietti, Joan Bruna, Loucas Pillaud‐Vivien · 8 citations
Computer Science · Mathematics · #Neural Networks and Applications #Gaussian Processes and Bayesian Inference #Statistical Methods and Inference
- Estimating Interventional Distributions with Uncertain Causal Graphs through Meta-Learning
2025/07/07 by Anish Dhir, Cristiana Diaconu, Dhir, Anish +9 · 4 citations
Computer Science · Neuroscience · #Bayesian Modeling and Causal Inference #Gaussian Processes and Bayesian Inference #Functional Brain Connectivity Studies
- Temporal Conformal Prediction (TCP): A Distribution-Free Statistical and Machine Learning Framework for Adaptive Risk Forecasting
2025/07/07 by Agnideep Aich, Ashit Baran Aich, Aich, Agnideep +3 · 1 citation
Decision Sciences · Computer Science · Economics, Econometrics and Finance · #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Financial Risk and Volatility Modeling
- Detecting Interspecific Positive Selection Using Convolutional Neural Networks
2025/06/27 by Charlotte West, Conor R. Walker, Shayesteh Arasti +4 · 1 voice · 1 citation
Computer Science · Engineering · #Evolutionary Algorithms and Applications #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference
- ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model
2025/06/24 by Tengbo Yu, Yu, Tengbo, Guanxing Lu +17 · 4 citations
Computer Science · #Time Series Analysis and Forecasting #Evolutionary Algorithms and Applications #Gaussian Processes and Bayesian Inference
- Multi-Armed Bandits With Machine Learning-Generated Surrogate Rewards
2025/06/20 by Ji, Wenlong, Pan, Yihan, Zhu, Ruihao +1 · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Gaussian Processes and Bayesian Inference #Explainable Artificial Intelligence (XAI)
- Understanding uncertainty in Bayesian cluster analysis
2025/06/19 by Balocchi, Cecilia, Wade, Sara · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods
- Interpretable representation learning of quantum data enabled by probabilistic variational autoencoders
2025/06/13 by Paulin de Schoulepnikoff, Gorka Muñoz-Gil, de Schoulepnikoff, Paulin +5 · 1 voice · 2 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Quantum Physics (quant-ph) #Statistical Mechanics (cond-mat.stat-mech) #cond-mat.stat-mech #cs.LG #quant-ph
- Learning single-index models via harmonic decomposition
2025/06/11 by Nirmit Joshi, Hugo Koubbi, Joshi, Nirmit +5 · 3 citations
Computer Science · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST) #Tensor decomposition and applications
- ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
2025/06/08 by Daolang Huang, Huang, Daolang, Ayush Bharti +6 · 2 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Promoting Ensemble Diversity with Interactive Bayesian Distributional Robustness for Fine-tuning Foundation Models
2025/06/08 by Ngoc-Quan Pham, Tuan Truong, Pham, Ngoc-Quan +9 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Gaussian Processes and Bayesian Inference #Bayesian Modeling and Causal Inference
- Scalable Gaussian Processes with Latent Kronecker Structure
2025/06/07 by Jihao Andreas Lin, Lin, Jihao Andreas, Sebastian Ament +9 · 3 citations
Computer Science · Materials Science · #Gaussian Processes and Bayesian Inference #Machine Learning in Materials Science #Bayesian Modeling and Causal Inference
- The Generative Leap: Sharp Sample Complexity for Efficiently Learning Gaussian Multi-Index Models
2025/06/05 by Alex Damian, Jason D. Lee, Damian, Alex +3 · 2 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Tensor decomposition and applications
- BOFormer: Learning to Solve Multi-Objective Bayesian Optimization via Non-Markovian RL
2025/05/28 by Yu-Heng Hung, Kaijie Lin, Hung, Yu-Heng +9 · 3 citations
Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Data Classification
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