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Bernhard Sch\"olkopf

Identifiers

  • name variant Bernhard Sch\"olkopf 0.60 · backfill

Papers (123)

  1. STRIDE: Training Data Attribution via Sparse Recovery from Subset Perturbations cs.LG · 2026 · author #6
  2. PEFT-Arena: Understanding Parameter-Efficient Finetuning from a Stability-Plasticity Perspective cs.LG · 2026 · author #6
  3. Learning to Reason Efficiently with A* Post-Training cs.AI · 2026 · author #5
  4. Riemannian Networks over Full-Rank Correlation Matrices cs.LG · 2026 · author #3
  5. TabPFN-3: Technical Report cs.LG · 2026 · author #38
  6. Learning POMDP World Models from Observations with Language-Model Priors cs.LG · 2026 · author #10
  7. Mechanism Design Is Not Enough: Prosocial Agents for Cooperative AI cs.GT · 2026 · author #5
  8. Adaptive Inverted-Index Routing for Granular Mixtures-of-Experts cs.LG · 2026 · author #3
  9. Neural Posterior Estimation of Terrain Parameters from Radar Sounder Data eess.SP · 2026 · author #5
  10. Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution cs.AI · 2026 · author #5
  11. Bounded Ratio Reinforcement Learning cs.LG · 2026 · author #7
  12. Stargazer: A Scalable Model-Fitting Benchmark Environment for AI Agents under Astrophysical Constraints cs.LG · 2026 · author #3
  13. Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks cs.RO · 2026 · author #5
  14. Drifting Fields are not Conservative cs.LG · 2026 · author #4
  15. The Alien Space of Science: Sampling Coherent but Cognitively Unavailable Research Directions cs.AI · 2026 · author #5
  16. Intrinsically Interpretable Attention via Sparse Post-Training cs.LG · 2025 · author #5
  17. TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models cs.LG · 2025 · author #23
  18. PENEX: AdaBoost-Inspired Neural Network Regularization cs.LG · 2025 · author #2
  19. Test of Time: Rethinking Temporal Signal of Benchmark Contamination cs.AI · 2025 · author #9
  20. Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling cs.LG · 2025 · author #6
  21. Estimating Joint Interventional Distributions from Marginal Interventional Data stat.ME · 2024 · author #4
  22. Evidence for eccentricity in the population of binary black holes observed by LIGO-Virgo-KAGRA gr-qc · 2024 · author #12
  23. Open X-Embodiment: Robotic Learning Datasets and RT-X Models cs.RO · 2023 · author #35
  24. Neural Signatures of Motor Skill in the Resting Brain q-bio.NC · 2019 · author #5
  25. Disentangled State Space Representations stat.ML · 2019 · author #3
  26. Kernel Mean Matching for Content Addressability of GANs cs.LG · 2019 · author #6
  27. Consequential Ranking Algorithms and Long-term Welfare cs.LG · 2019 · author #4
  28. AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEs cs.LG · 2019 · author #5
  29. GeNet: Deep Representations for Metagenomics q-bio.GN · 2019 · author #6
  30. Deep Lyapunov Function: Automatic Stability Analysis for Dynamical Systems math.DS · 2019 · author #2
  31. Deconfounding Reinforcement Learning in Observational Settings cs.LG · 2018 · author #2
  32. Generalization in anti-causal learning cs.LG · 2018 · author #3
  33. Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations cs.LG · 2018 · author #6
  34. Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems eess.SP · 2018 · author #2
  35. Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness stat.ML · 2018 · author #3
  36. Informative Features for Model Comparison stat.ML · 2018 · author #5
  37. Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models cs.LG · 2018 · author #4
  38. The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution cs.CV · 2018 · author #2
  39. Perceptual Video Super Resolution with Enhanced Temporal Consistency cs.CV · 2018 · author #4
  40. A Local Information Criterion for Dynamical Systems stat.ML · 2018 · author #4
  41. Efficient Encoding of Dynamical Systems through Local Approximations cs.SY · 2018 · author #3
  42. Deep Energy Estimator Networks stat.ML · 2018 · author #3
  43. Automatic Estimation of Modulation Transfer Functions cs.CV · 2018 · author #4
  44. Competitive Training of Mixtures of Independent Deep Generative Models cs.LG · 2018 · author #6
  45. Structural causal models for macro-variables in time-series math.ST · 2018 · author #3
  46. On Matching Pursuit and Coordinate Descent stat.ML · 2018 · author #5
  47. Adversarial Extreme Multi-label Classification stat.ML · 2018 · author #2
  48. Analysis of cause-effect inference by comparing regression errors cs.AI · 2018 · author #5
  49. Tempered Adversarial Networks stat.ML · 2018 · author #4
  50. First-order Adversarial Vulnerability of Neural Networks and Input Dimension stat.ML · 2018 · author #4
  51. Learning Independent Causal Mechanisms cs.LG · 2017 · author #4
  52. Fidelity-Weighted Learning cs.LG · 2017 · author #5
  53. A pixel-level model for event discovery in time-domain imaging astro-ph.IM · 2017 · author #4
  54. Differentially Private Database Release via Kernel Mean Embeddings stat.ML · 2017 · author #3
  55. Learning Blind Motion Deblurring cs.CV · 2017 · author #3
  56. Avoiding Discrimination through Causal Reasoning stat.ML · 2017 · author #6
  57. Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning cs.LG · 2017 · author #5
  58. Discriminative k-shot learning using probabilistic models stat.ML · 2017 · author #4
  59. Annealed Generative Adversarial Networks stat.ML · 2017 · author #2
  60. Group invariance principles for causal generative models stat.ML · 2017 · author #3
  61. Online Video Deblurring via Dynamic Temporal Blending Network cs.CV · 2017 · author #3
  62. Discriminative Transfer Learning for General Image Restoration cs.CV · 2017 · author #4
  63. AdaGAN: Boosting Generative Models stat.ML · 2017 · author #5
  64. EnhanceNet: Single Image Super-Resolution Through Automated Texture Synthesis cs.CV · 2016 · author #2
  65. Local Group Invariant Representations via Orbit Embeddings cs.LG · 2016 · author #5
  66. Distilling Information Reliability and Source Trustworthiness from Digital Traces cs.SI · 2016 · author #5
  67. Consistent Kernel Mean Estimation for Functions of Random Variables stat.ML · 2016 · author #4
  68. Screening Rules for Convex Problems math.OC · 2016 · author #4
  69. Depth Estimation Through a Generative Model of Light Field Synthesis cs.CV · 2016 · author #3
  70. The population of long-period transiting exoplanets astro-ph.EP · 2016 · author #5
  71. End-to-End Learning for Image Burst Deblurring cs.CV · 2016 · author #2
  72. Experimental and causal view on information integration in autonomous agents cs.AI · 2016 · author #3
  73. Discovering Causal Signals in Images stat.ML · 2016 · author #4
  74. A note on the expected minimum error probability in equientropic channels q-bio.NC · 2016 · author #3
  75. Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data stat.ME · 2016 · author #3
  76. The Arrow of Time in Multivariate Time Series math.ST · 2016 · author #2
  77. Kernel-based Tests for Joint Independence math.ST · 2016 · author #3
  78. Causal and anti-causal learning in pattern recognition for neuroimaging stat.ML · 2015 · author #2
  79. Decoding index finger position from EEG using random forests stat.ML · 2015 · author #3
  80. Transfer Learning in Brain-Computer Interfaces cs.HC · 2015 · author #4
  81. Causal interpretation rules for encoding and decoding models in neuroimaging stat.ML · 2015 · author #4
  82. Unifying distillation and privileged information stat.ML · 2015 · author #3
  83. Discovery and Visualization of Nonstationary Causal Models cs.AI · 2015 · author #4
  84. A Causal, Data-Driven Approach to Modeling the Kepler Data astro-ph.EP · 2015 · author #4
  85. Invariant Models for Causal Transfer Learning stat.ML · 2015 · author #2
  86. Removing systematic errors for exoplanet search via latent causes stat.ML · 2015 · author #1
  87. Distinguishing Cause from Effect Based on Exogeneity cs.AI · 2015 · author #3
  88. A systematic search for transiting planets in the K2 data astro-ph.EP · 2015 · author #6
  89. Towards a Learning Theory of Cause-Effect Inference stat.ML · 2015 · author #3
  90. Computing Functions of Random Variables via Reproducing Kernel Hilbert Space Representations stat.ML · 2015 · author #1
  91. Distinguishing cause from effect using observational data: methods and benchmarks cs.LG · 2014 · author #5
  92. Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components stat.ML · 2014 · author #5
  93. Kernel Mean Estimation via Spectral Filtering stat.ML · 2014 · author #3
  94. Learning to Deblur cs.CV · 2014 · author #4
  95. Kernel Mean Shrinkage Estimators stat.ML · 2014 · author #5
  96. Justifying Information-Geometric Causal Inference stat.ML · 2014 · author #4
  97. Randomized Nonlinear Component Analysis stat.ML · 2014 · author #5
  98. Consistency of Causal Inference under the Additive Noise Model cs.LG · 2013 · author #4
  99. Spatial statistics, image analysis and percolation theory stat.AP · 2013 · author #3
  100. Causal Discovery with Continuous Additive Noise Models stat.ML · 2013 · author #4
  101. Kernel Mean Estimation and Stein's Effect stat.ML · 2013 · author #5
  102. From Ordinary Differential Equations to Structural Causal Models: the deterministic case stat.OT · 2013 · author #3
  103. The Randomized Dependence Coefficient stat.ML · 2013 · author #3
  104. One-Class Support Measure Machines for Group Anomaly Detection stat.ML · 2013 · author #2
  105. On a link between kernel mean maps and Fraunhofer diffraction, with an application to super-resolution beyond the diffraction limit physics.optics · 2013 · author #3
  106. Domain Generalization via Invariant Feature Representation stat.ML · 2013 · author #3
  107. Semi-Supervised Domain Adaptation with Non-Parametric Copulas stat.ML · 2013 · author #3
  108. easyGWAS: An integrated interspecies platform for performing genome-wide association studies q-bio.GN · 2012 · author #6
  109. Structure and Dynamics of Information Pathways in Online Media cs.SI · 2012 · author #3
  110. Causal Inference on Time Series using Structural Equation Models stat.ML · 2012 · author #3
  111. The representer theorem for Hilbert spaces: a necessary and sufficient condition math.FA · 2012 · author #2
  112. Influence Maximization in Continuous Time Diffusion Networks cs.SI · 2012 · author #2
  113. Submodular Inference of Diffusion Networks from Multiple Trees cs.SI · 2012 · author #2
  114. Quantifying causal influences math.ST · 2012 · author #4
  115. Learning from Distributions via Support Measure Machines stat.ML · 2012 · author #4
  116. Robust Learning via Cause-Effect Models stat.ML · 2011 · author #1
  117. Uncovering the Temporal Dynamics of Diffusion Networks cs.SI · 2011 · author #3
  118. Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook astro-ph.CO · 2010 · author #21
  119. Causal Inference on Discrete Data using Additive Noise Models stat.ML · 2009 · author #3
  120. Hilbert space embeddings and metrics on probability measures stat.ML · 2009 · author #4
  121. On integral probability metrics, \phi-divergences and binary classification cs.IT · 2009 · author #4
  122. Kernel methods in machine learning math.ST · 2007 · author #2
  123. Comment on "Support Vector Machines with Applications" math.ST · 2006 · author #2

Mentions

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Frequent Coauthors