Bernhard Schölkopf - researchr alias

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Viewing Publication 1 - 100 from 545

2023

Beyond Good Intentions: Reporting the Research Landscape of NLP for Social GoodFernando Gonzalez Adauto, Zhijing Jin, Bernhard Schölkopf, Tom Hope, Mrinmaya Sachan, Rada Mihalcea. emnlp 2023: 415-438 [doi]

Glare Removal for Astronomical Images with High Local Dynamic RangeMax-Olivier Van Bastelaer, Heiner Kremer, Valentin Volchkov, Jean-Claude Passy, Bernhard Schölkopf. iccp 2023: 1-11 [doi]

Provably Learning Object-Centric RepresentationsJack Brady, Roland S. Zimmermann, Yash Sharma 0001, Bernhard Schölkopf, Julius von Kügelgen, Wieland Brendel. icml 2023: 3038-3062 [doi]

Learning Linear Causal Representations from Interventions under General Nonlinear MixingSimon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar. nips 2023: [doi]

AIMY: An Open-source Table Tennis Ball Launcher for Versatile and High-fidelity Trajectory GenerationAlexander Dittrich, Jan Schneider, Simon Guist, Nico Gürtler, Heiko Ott, Thomas Steinbrenner, Bernhard Schölkopf, Dieter Büchler. icra 2023: 3058-3064 [doi]

On Data Manifolds Entailed by Structural Causal ModelsRicardo Dominguez-Olmedo, Amir-Hossein Karimi, Georgios Arvanitidis, Bernhard Schölkopf. icml 2023: 8188-8201 [doi]

Spuriosity Didn't Kill the Classifier: Using Invariant Predictions to Harness Spurious FeaturesCian Eastwood, Shashank Singh 0011, Andrei Liviu Nicolicioiu, Marin Vlastelica Pogancic, Julius von Kügelgen, Bernhard Schölkopf. nips 2023: [doi]

DCI-ES: An Extended Disentanglement Framework with Connections to IdentifiabilityCian Eastwood, Andrei Liviu Nicolicioiu, Julius von Kügelgen, Armin Kekic, Frederik Träuble, Andrea Dittadi, Bernhard Schölkopf. iclr 2023: [doi]

Robustness Implies Fairness in Causal Algorithmic RecourseAhmad-Reza Ehyaei, Amir-Hossein Karimi, Bernhard Schölkopf, Setareh Maghsudi. fat 2023: 984-1001 [doi]

Leveraging sparse and shared feature activations for disentangled representation learningMarco Fumero, Florian Wenzel, Luca Zancato, Alessandro Achille, Emanuele Rodolà, Stefano Soatto, Bernhard Schölkopf, Francesco Locatello. nips 2023: [doi]

Hindsight States: Blending Sim & Real Task Elements for Efficient Reinforcement LearningSimon Guist, Jan Schneider, Vincent Berenz, Alexander Dittrich, Bernhard Schölkopf, Dieter Büchler. rss 2023: [doi]

Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable DataSiyuan Guo, Viktor Tóth, Bernhard Schölkopf, Ferenc Huszar. nips 2023: [doi]

Benchmarking Offline Reinforcement Learning on Real-Robot HardwareNico Gürtler, Sebastian Blaes, Pavel Kolev, Felix Widmaier, Manuel Wuthrich, Stefan Bauer, Bernhard Schölkopf, Georg Martius. iclr 2023: [doi]

BaCaDI: Bayesian Causal Discovery with Unknown InterventionsAlexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause 0001. aistats 2023: 1411-1436 [doi]

Stochastic Marginal Likelihood Gradients using Neural Tangent KernelsAlexander Immer, Tycho F. A. van der Ouderaa, Mark van der Wilk, Gunnar Rätsch, Bernhard Schölkopf. icml 2023: 14333-14352 [doi]

On the Identifiability and Estimation of Causal Location-Scale Noise ModelsAlexander Immer, Christoph Schultheiss, Julia E. Vogt, Bernhard Schölkopf, Peter Bühlmann, Alexander Marx. icml 2023: 14316-14332 [doi]

CLadder: A Benchmark to Assess Causal Reasoning Capabilities of Language ModelsZhijing Jin, Yuen Chen, Felix Leeb, Luigi Gresele, Ojasv Kamal, Zhiheng Lyu, Kevin Blin, Fernando Gonzalez Adauto, Max Kleiman-Weiner, Mrinmaya Sachan, Bernhard Schölkopf. nips 2023: [doi]

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential RecommendationsAmir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera. ACM Comput. Surv., 55(5), 2023. [doi]

On the Relationship Between Explanation and Prediction: A Causal ViewAmir-Hossein Karimi, Krikamol Muandet, Simon Kornblith, Bernhard Schölkopf, Been Kim. icml 2023: 15861-15883 [doi]

Homomorphism AutoEncoder - Learning Group Structured Representations from Observed TransitionsHamza Keurti, Hsiao-Ru Pan, Michel Besserve, Benjamin F. Grewe, Bernhard Schölkopf. icml 2023: 16190-16215 [doi]

Learning Locomotion Skills from MPC in Sensor SpaceMajid Khadiv, Avadesh Meduri, Huaijiang Zhu, Ludovic Righetti, Bernhard Schölkopf. l4dc 2023: 1218-1230 [doi]

Causal effect estimation from observational and interventional data through matrix weighted linear estimatorsKlaus-Rudolf Kladny, Julius von Kügelgen, Bernhard Schölkopf, Michael Muehlebach. uai 2023: 1087-1097 [doi]

Estimation Beyond Data Reweighting: Kernel Method of MomentsHeiner Kremer, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu. icml 2023: 17745-17783 [doi]

Kernel-Based Independence Tests for Causal Structure Learning on Functional DataFelix Laumann, Julius von Kügelgen, Junhyung Park, Bernhard Schölkopf, Mauricio Barahona. entropy, 25(12):1597, December 2023. [doi]

Structure by Architecture: Structured Representations without RegularizationFelix Leeb, Giulia Lanzillotta, Yashas Annadani, Michel Besserve, Stefan Bauer, Bernhard Schölkopf. iclr 2023: [doi]

Causal Component AnalysisWendong Liang, Armin Kekic, Julius von Kügelgen, Simon Buchholz, Michel Besserve, Luigi Gresele, Bernhard Schölkopf. nips 2023: [doi]

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation LearningYuejiang Liu, Alexandre Alahi, Chris Russell 0001, Max Horn, Dominik Zietlow, Bernhard Schölkopf, Francesco Locatello. clear2 2023: 553-573 [doi]

Generalizing and Decoupling Neural Collapse via Hyperspherical Uniformity GapWeiyang Liu, Longhui Yu, Adrian Weller, Bernhard Schölkopf. iclr 2023: [doi]

Reinforcement learning with model-based feedforward inputs for robotic table tennisHao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach. arobots, 47(8):1387-1403, December 2023. [doi]

Membership Inference Attacks against Language Models via Neighbourhood ComparisonJustus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick. acl 2023: 11330-11343 [doi]

Pyfectious: An individual-level simulator to discover optimal containment policies for epidemic diseasesArash Mehrjou, Ashkan Soleymani, Amin Abyaneh, Samir Bhatt, Bernhard Schölkopf, Stefan Bauer. ploscb, 19(1), January 2023. [doi]

SE(3) Equivariant Augmented Coupling FlowsLaurence I. Midgley, Vincent Stimper, Javier Antorán, Emile Mathieu, Bernhard Schölkopf, José Miguel Hernández-Lobato. nips 2023: [doi]

Flow Annealed Importance Sampling BootstrapLaurence Illing Midgley, Vincent Stimper, Gregor N. C. Simm, Bernhard Schölkopf, José Miguel Hernández-Lobato. iclr 2023: [doi]

ResMiCo: Increasing the quality of metagenome-assembled genomes with deep learningOlga Mineeva, Daniel Danciu, Bernhard Schölkopf, Ruth E. Ley, Gunnar Rätsch, Nicholas D. Youngblut. ploscb, 19(5), 2023. [doi]

Diffusion Based Representation LearningSarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou. icml 2023: 24963-24982 [doi]

Dataflow graphs as complete causal graphsAndrei Paleyes, Siyuan Guo, Bernhard Schölkopf, Neil D. Lawrence. cain 2023: 7-12 [doi]

A Measure-Theoretic Axiomatisation of CausalityJunhyung Park, Simon Buchholz, Bernhard Schölkopf, Krikamol Muandet. nips 2023: [doi]

Iterative Teaching by Data HallucinationZeju Qiu, Weiyang Liu, Tim Z. Xiao, Zhen Liu, Umang Bhatt, Yucen Luo, Adrian Weller, Bernhard Schölkopf. aistats 2023: 9892-9913 [doi]

Controlling Text-to-Image Diffusion by Orthogonal FinetuningZeju Qiu, Weiyang Liu, Haiwen Feng, Yuxuan Xue, Yao Feng, Zhen Liu, Dan Zhang, Adrian Weller, Bernhard Schölkopf. nips 2023: [doi]

Jacobian-based Causal Discovery with Nonlinear ICAPatrik Reizinger, Yash Sharma 0001, Matthias Bethge, Bernhard Schölkopf, Ferenc Huszár, Wieland Brendel. tmlr, 2023, 2023. [doi]

Bridging the Gap to Real-World Object-Centric LearningMaximilian Seitzer, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel, Tong He 0002, Zheng Zhang 0001, Bernhard Schölkopf, Thomas Brox, Francesco Locatello. iclr 2023: [doi]

Metrizing Weak Convergence with Maximum Mean DiscrepanciesCarl-Johann Simon-Gabriel, Alessandro Barp, Bernhard Schölkopf, Lester Mackey. jmlr, 24, 2023. [doi]

The Hessian perspective into the Nature of Convolutional Neural NetworksSidak Pal Singh, Thomas Hofmann, Bernhard Schölkopf. icml 2023: 31930-31968 [doi]

normflows: A PyTorch Package for Normalizing FlowsVincent Stimper, David Liu 0005, Andrew Campbell, Vincent Berenz, Lukas Ryll, Bernhard Schölkopf, José Miguel Hernández-Lobato. jossw, 8(87):5361, July 2023. [doi]

A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language ModelsAlessandro Stolfo, Zhijing Jin, Kumar Shridhar, Bernhard Schölkopf, Mrinmaya Sachan. acl 2023: 545-561 [doi]

Unsupervised Object Learning via Common FateMatthias Tangemann, Steffen Schneider 0001, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, Bernhard Schölkopf. clear2 2023: 281-327 [doi]

Data-Efficient Online Learning of Ball Placement in Robot Table TennisPhilip Tobuschat, Hao Ma, Dieter Büchler, Bernhard Schölkopf, Michael Muehlebach. iros 2023: 567-573 [doi]

Discrete Key-Value BottleneckFrederik Träuble, Anirudh Goyal, Nasim Rahaman, Michael Curtis Mozer, Kenji Kawaguchi, Yoshua Bengio, Bernhard Schölkopf. icml 2023: 34431-34455 [doi]

Nonparametric Identifiability of Causal Representations from Unknown InterventionsJulius von Kügelgen, Michel Besserve, Wendong Liang, Luigi Gresele, Armin Kekic, Elias Bareinboim, David M. Blei, Bernhard Schölkopf. nips 2023: [doi]

Pairwise Similarity Learning is SimPLEYanDong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf. iccv 2023: 5285-5295 [doi]

Flow Matching for Scalable Simulation-Based InferenceJonas Wildberger, Maximilian Dax, Simon Buchholz, Stephen R. Green, Jakob H. Macke, Bernhard Schölkopf. nips 2023: [doi]

On the Interventional Kullback-Leibler DivergenceJonas Bernhard Wildberger, Siyuan Guo, Arnab Bhattacharyya 0001, Bernhard Schölkopf. clear2 2023: 328-349 [doi]

A machine learning route between band mapping and band structureR. Patrick Xian, Vincent Stimper, Marios Zacharias, Maciej Dendzik, Shuo Dong, Samuel Beaulieu, Bernhard Schölkopf, Martin Wolf, Laurenz Rettig, Christian Carbogno, Stefan Bauer, Ralph Ernstorfer. ncs, 3(1):101-114, 2023. [doi]

2022

Learning Random Feature Dynamics for Uncertainty QuantificationDiego Agudelo-España, Yassine Nemmour, Bernhard Schölkopf, Jia-Jie Zhu. cdc 2022: 4937-4944 [doi]

A prior-based approximate latent Riemannian metricGeorgios Arvanitidis, Bogdan M. Georgiev, Bernhard Schölkopf. aistats 2022: 4634-4658 [doi]

Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundationsMichel Besserve, Naji Shajarisales, Dominik Janzing, Bernhard Schölkopf. clear2 2022: 110-143 [doi]

Learning soft interventions in complex equilibrium systemsMichel Besserve, Bernhard Schölkopf. uai 2022: 170-180 [doi]

Function Classes for Identifiable Nonlinear Independent Component AnalysisSimon Buchholz, Michel Besserve, Bernhard Schölkopf. nips 2022: [doi]

Learning to Play Table Tennis From Scratch Using Muscular RobotsDieter Büchler, Simon Guist, Roberto Calandra, Vincent Berenz, Bernhard Schölkopf, Jan Peters 0001. trob, 38(6):3850-3860, 2022. [doi]

Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax OptimizationAniket Das, Bernhard Schölkopf, Michael Muehlebach. nips 2022: [doi]

Group equivariant neural posterior estimationMaximilian Dax, Stephen R. Green, Jonathan Gair, Michael Deistler, Bernhard Schölkopf, Jakob H. Macke. iclr 2022: [doi]

Generalization and Robustness Implications in Object-Centric LearningAndrea Dittadi, Samuele S. Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello. icml 2022: 5221-5285 [doi]

On the Adversarial Robustness of Causal Algorithmic RecourseRicardo Dominguez-Olmedo, Amir-Hossein Karimi, Bernhard Schölkopf. icml 2022: 5324-5342 [doi]

Probable Domain Generalization via Quantile Risk MinimizationCian Eastwood, Alexander Robey, Shashank Singh 0011, Julius von Kügelgen, Hamed Hassani, George J. Pappas, Bernhard Schölkopf. nips 2022: [doi]

Source-Free Adaptation to Measurement Shift via Bottom-Up Feature RestorationCian Eastwood, Ian Mason, Christopher K. I. Williams, Bernhard Schölkopf. iclr 2022: [doi]

Causal Inference Through the Structural Causal Marginal ProblemLuigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing. icml 2022: 7793-7824 [doi]

Action-Sufficient State Representation Learning for Control with Structural ConstraintsBiwei Huang, Chaochao Lu, Liu Leqi, José Miguel Hernández-Lobato, Clark Glymour, Bernhard Schölkopf, Kun Zhang 0001. icml 2022: 9260-9279 [doi]

Logical Fallacy DetectionZhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf. emnlp 2022: 7180-7198 [doi]

When to Make Exceptions: Exploring Language Models as Accounts of Human Moral JudgmentZhijing Jin, Sydney Levine, Fernando Gonzalez Adauto, Ojasv Kamal, Maarten Sap, Mrinmaya Sachan, Rada Mihalcea, Josh Tenenbaum 0001, Bernhard Schölkopf. nips 2022: [doi]

Spatial Context Awareness for Unsupervised Change Detection in Optical Satellite ImagesLukas Kondmann, Aysim Toker, Sudipan Saha, Bernhard Schölkopf, Laura Leal-Taixé, Xiao Xiang Zhu. tgrs, 60:1-15, 2022. [doi]

Functional Generalized Empirical Likelihood Estimation for Conditional Moment RestrictionsHeiner Kremer, Jia-Jie Zhu, Krikamol Muandet, Bernhard Schölkopf. icml 2022: 11665-11682 [doi]

AutoML Two-Sample TestJonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf. nips 2022: [doi]

A Witness Two-Sample TestJonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet. aistats 2022: 1403-1419 [doi]

Exploring the Latent Space of Autoencoders with Interventional AssaysFelix Leeb, Stefan Bauer, Michel Besserve, Bernhard Schölkopf. nips 2022: [doi]

Structural Causal 3D ReconstructionWeiyang Liu, Zhen Liu 0019, Liam Paull, Adrian Weller, Bernhard Schölkopf. eccv 2022: 140-159 [doi]

Quantifying the Effects of Contact Tracing, Testing, and Containment Measures in the Presence of Infection HotspotsLars Lorch, Heiner Kremer, William Trouleau, Stratis Tsirtsis, Aron Szanto, Bernhard Schölkopf, Manuel Gomez-Rodriguez. tsas, 8(4), 2022. [doi]

Amortized Inference for Causal Structure LearningLars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause 0001, Bernhard Schölkopf. nips 2022: [doi]

Invariant Causal Representation Learning for Out-of-Distribution GeneralizationChaochao Lu, Yuhuai Wu, José Miguel Hernández-Lobato, Bernhard Schölkopf. iclr 2022: [doi]

You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory PredictionOsama Makansi, Julius von Kügelgen, Francesco Locatello, Peter Vincent Gehler, Dominik Janzing, Thomas Brox, Bernhard Schölkopf. iclr 2022: [doi]

Differentially Private Language Models for Secure Data SharingJustus Mattern, Zhijing Jin, Benjamin Weggenmann, Bernhard Schölkopf, Mrinmaya Sachan. emnlp 2022: 4860-4873 [doi]

Maximum Mean Discrepancy Distributionally Robust Nonlinear Chance-Constrained Optimization with Finite-Sample GuaranteeYassine Nemmour, Heiner Kremer, Bernhard Schölkopf, Jia-Jie Zhu. cdc 2022: 5660-5667 [doi]

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation PerformanceJingwei Ni, Zhijing Jin, Markus Freitag, Mrinmaya Sachan, Bernhard Schölkopf. naacl 2022: 5303-5320 [doi]

Direct Advantage EstimationHsiao-Ru Pan, Nico Gürtler, Alexander Neitz, Bernhard Schölkopf. nips 2022: [doi]

Causal Discovery in Heterogeneous Environments Under the Sparse Mechanism Shift HypothesisRonan Perry, Julius von Kügelgen, Bernhard Schölkopf. nips 2022: [doi]

Embrace the Gap: VAEs Perform Independent Mechanism AnalysisPatrik Reizinger, Luigi Gresele, Jack Brady, Julius von Kügelgen, Dominik Zietlow, Bernhard Schölkopf, Georg Martius, Wieland Brendel, Michel Besserve. nips 2022: [doi]

Score Matching Enables Causal Discovery of Nonlinear Additive Noise ModelsPaul Rolland, Volkan Cevher, Matthäus Kleindessner, Chris Russell 0001, Dominik Janzing, Bernhard Schölkopf, Francesco Locatello. icml 2022: 18741-18753 [doi]

Towards Total Recall in Industrial Anomaly DetectionKarsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler. cvpr 2022: 14298-14308 [doi]

Visual Representation Learning Does Not Generalize Strongly Within the Same DomainLukas Schott, Julius von Kügelgen, Frederik Träuble, Peter Vincent Gehler, Chris Russell 0001, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, Wieland Brendel. iclr 2022: [doi]

Causality for Machine LearningBernhard Schölkopf. In Hector Geffner, Rina Dechter, Joseph Y. Halpern, editors, Probabilistic and Causal Inference: The Works of Judea Pearl. Volume 36 of ACM Books, pages 765-804, ACM, 2022. [doi]

Phenomenology of Double Descent in Finite-Width Neural NetworksSidak Pal Singh, Aurélien Lucchi, Thomas Hofmann, Bernhard Schölkopf. iclr 2022: [doi]

Causal Feature Selection via Orthogonal SearchAshkan Soleymani, Anant Raj, Stefan Bauer, Bernhard Schölkopf, Michel Besserve. tmlr, 2022, 2022. [doi]

GalilAI: Out-of-Task Distribution Detection using Causal Active Experimentation for Safe Transfer RLSumedh A. Sontakke, Stephen Iota, Zizhao Hu, Arash Mehrjou, Laurent Itti, Bernhard Schölkopf. aistats 2022: 7518-7530 [doi]

Resampling Base Distributions of Normalizing FlowsVincent Stimper, Bernhard Schölkopf, José Miguel Hernández-Lobato. aistats 2022: 4915-4936 [doi]

Interventions, Where and How? Experimental Design for Causal Models at ScalePanagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal, Stefan Bauer. nips 2022: [doi]

On the Fairness of Causal Algorithmic RecourseJulius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf. AAAI 2022: 9584-9594 [doi]

Neural Attentive CircuitsMartin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, Nicolas Ballas. nips 2022: [doi]

Towards Principled Disentanglement for Domain GeneralizationHanlin Zhang, Yi-Fan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing. cvpr 2022: 8014-8024 [doi]

Adversarial Robustness Through the Lens of CausalityYonggang Zhang, Mingming Gong, Tongliang Liu, Gang Niu 0001, Xinmei Tian 0001, Bo Han 0003, Bernhard Schölkopf, Kun Zhang 0001. iclr 2022: [doi]

Adversarially Robust Kernel SmoothingJia-Jie Zhu, Christina Kouridi, Yassine Nemmour, Bernhard Schölkopf. aistats 2022: 4972-4994 [doi]

Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep ClassifiersDominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell 0001. cvpr 2022: 10400-10411 [doi]

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