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Empirical Inference Conference Paper Declarative Reactive Robot Behaviors from Imperative Language Models Berenz, V., Kim, T., Schölkopf, B. In IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2026), August 2026 (Accepted) BibTeX
Empirical Inference Conference Paper Neural Posterior Estimation of Terrain Parameters from Radar Sounder Data Dal Corso, J., Kofler, A., Cortellazzi, M., Bruzzone, L., Schölkopf, B. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), August 2026 (Accepted) arXiv BibTeX
Empirical Inference Conference Paper Echoes of the Prior: A Computational Phenomenology of Forgetting Gao, G., Schölkopf, B., Geiger, A. Proceedings of the ACM on Computer Graphics and Interactive Techniques: PACM-CGIT, SIGGRAPH, July 2026 (Accepted) Project BibTeX
Empirical Inference Conference Paper On the Emergence and Test-Time Use of Structural Information in Large Language Models Chen, M. C., Miller, M., Schölkopf, B., Guo, S. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 1449-1465, (Editors: Liakata, Maria and Moreira, Viviane P. and Zhang, Jiajun and Jurgens, David), Association for Computational Linguistics, 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), July 2026 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Riemannian Networks over Full-Rank Correlation Matrices Chen, Z., Wu, X., Schölkopf, B., Sebe, N. In Proceedings of the 43rd International Conference on Machine Learning (ICML), International Conference on Machine Learning, July 2026 (Accepted) arXiv BibTeX
Empirical Inference Article Flexible Gravitational-Wave Parameter Estimation with Transformers Kofler, A., Dax, M., Green, S. R., Wildberger, J., Gupte, N., Macke, J. H., Gair, J., Buonanno, A., Schölkopf, B. Physical Review Letters, 136(25):https://journals.aps.org/prl/abstract/10.1103/n3ld-b4wv, June 2026 (Published) arXiv DOI URL BibTeX
Empirical Inference Conference Paper Hyperbolic Busemann Neural Networks Chen, Z., Schölkopf, B., Sebe, N. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 42029-42038, June 2026 (Published) PDF Supplemental URL BibTeX
Empirical Inference Conference Paper Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control Paulus*, A., Geist*, A. R., Schumacher*, P., Rappenecker, S., Musil, V., Martius, G. The Fourteenth International Conference on Learning Representations (ICLR), April 2026, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Estimating Joint Interventional Distributions from Marginal Interventional Data Garrido Mejia, S., Kirschbaum, E., Kekić, A., Schölkopf, B., Mastakouri, A. A. Proceedings of the Fifth Conference on Causal Learning and Reasoning, 323:1-23, PMLR, 5th Conference on Causal Learning and Reasoning, April 2026 (To be published) arXiv BibTeX
Empirical Inference Conference Paper Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies Kekić, A., Schneider, J., Büchler, D., Schölkopf*, B., Besserve*, M. The Fourteenth International Conference on Learning Representations (ICLR), April 2026, *joint supervision (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Making Complex Reasoning Student-Friendly: A Hybrid LLM-to-SLM Distillation Framework Yang, Y., He, Y., Liu, J., Jin, Z. 1st Workshop on Scaling Post-training for LLMs at the Fourteenth International Conference on Learning Representations (ICLR), SPOT@ICLR, April 2026 (Published) URL BibTeX
Empirical Inference Conference Paper Position: Science is Collaborative—LLM for Science Should Be Too Zhang, T. J., Jiang, W., Guzman Piedrahita, D., Yang, Y., Lu, S., Schölkopf, B., Jin, Z. ICLR 2026 – 2nd Workshop on Foundation Models for Science: Real-World Impact and Science-First Design , ICLR - Workshop FM4Science, April 2026 (Published) URL BibTeX
Empirical Inference Conference Paper Proper Velocity Neural Networks Chen*, Z., Su*, Z., Schölkopf, B., Sebe, N. The Fourteenth International Conference on Learning Representations (ICLR), April 2026, *equal contribution (Published) URL BibTeX
Empirical Inference Conference Paper Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles Ni*, Z., Li*, Y., Qiu*, Z., Schölkopf, B., Guo, H., Liu, W., Liu, S. The Fourteenth International Conference on Learning Representations (ICLR), April 2026, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper STRIDE: Training Data Attribution Can Be Estimated In Activation Space Harrasse, A., Dagli, R., Abdullah, A., Jin, Z. ICLR 2026 Workshop on Scientific Methods for Understanding Deep Learning (Sci4DL), Sci4DL at ICLR, April 2026 (Published) URL BibTeX
Empirical Inference Deep Models and Optimization Conference Paper Scaling Behavior of Discrete Diffusion Language Models von Rütte, D., Fluri, J., Pooladzandi, O., Schölkopf, B., Hofmann, T., Orvieto, A. The Fourteenth International Conference on Learning Representations (ICLR), April 2026 (Published) arXiv URL BibTeX
Empirical Inference Robust Machine Learning Conference Paper Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning Reizinger*, P., Mucsányi*, B., Guo*, S., Eysenbach, B., Schölkopf, B., Brendel, W. The Fourteenth International Conference on Learning Representations (ICLR), April 2026, *equal contribution (Published) arXiv URL BibTeX
Empirical Inference Conference Paper SocialHarmBench: Revealing LLM Vulnerabilities to Socially Harmful Requests Pandey, P. S., Le, H. S., Bhardwaj, D., Mihalcea, R., Zhijing, J. The Fourteenth International Conference on Learning Representations (ICLR), April 2026 (Published) arXiv URL BibTeX
Empirical Inference Conference Paper Training with Honeypots: Reshaping How LLMs Fail Simko, S., Pandey, P. S., Jin, Z., Schölkopf, B. ICLR 2026 Workshop on Principled Design for Trustworthy AI - Interpretability, Robustness, and Safety across Modalities, ICLR 2026 Trustworthy AI, April 2026 (Published) URL BibTeX
Empirical Inference Conference Paper Democratic or Authoritarian? Probing a New Dimension of Political Biases in Large Language Models Guzman Piedrahita*, D., Strauss*, I., Schölkopf, B., Mihalcea, R., Jin, Z. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 593-652, (Editors: Demberg, Vera and Inui, Kentaro and Marquez, Lluís), Association for Computational Linguistics, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2026, *equal contribution (Published) DOI URL BibTeX
Empirical Inference Ph.D. Thesis Empirical Likelihood Estimators for Robust and Causal Learning Kremer, H. Eberhard Karls Universität Tübingen, March 2026 (Published) BibTeX
Empirical Inference Conference Paper How Robust Are Router-LLMs? Analysis of the Fragility of LLM Routing Capabilities Kassem, A. M., Schölkopf, B., Jin, Z. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 7496-7507, (Editors: Demberg, Vera and Inui, Kentaro and Marquez, Lluís), Association for Computational Linguistics, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2026 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Sim-to-Real for Muscle-Actuated Robots via Learned Actuator Models Schneider, J., Mahajan, M., Chen, L., Guist, S., Schölkopf, B., Posner, I., Büchler, D. 2nd German Robotics Conference (GRC), March 2026 (Published) URL BibTeX
Empirical Inference Conference Paper Taming Object Hallucinations with Verified Atomic Confidence Estimation Liu, J., Xuan, W., Jin, Z., Diab, M. T. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 5430-5444, (Editors: Demberg, Vera and Inui, Kentaro and Marquez, Lluís), Association for Computational Linguistics, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2026 (Published) DOI URL BibTeX
Empirical Inference Conference Paper Uncovering Hidden Correctness in LLM Causal Reasoning via Symbolic Verification He, P., Huang, Y., Sachan, M., Jin, Z. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 1231-1250, (Editors: Demberg, Vera and Inui, Kentaro and Marquez, Lluís), Association for Computational Linguistics, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2026 (Published) DOI URL BibTeX
Empirical Inference Conference Paper When Do Language Models Endorse Limitations on Human Rights Principles? Samway, K., Takagi, M. N., Mihalcea, R., Schölkopf, B., Chalkidis, I., Hershcovich, D., Jin, Z. Findings of the Association for Computational Linguistics: EACL, 6597-6623, (Editors: Demberg, Vera and Inui, Kentaro and Marquez, Lluís), Association for Computational Linguistics, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2026 (Published) DOI URL BibTeX
Empirical Inference Conference Paper CORE: Measuring Multi-Agent LLM Interaction Quality under Game-Theoretic Pressures Pandey, P. S., Yang, Y., Liu, J., Jin, Z. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 1251-1266, (Editors: Demberg, Vera and Inui, Kentaro and Marquez, Lluís), Association for Computational Linguistics, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2026 (Published) DOI URL BibTeX
Empirical Inference Conference Paper NLP for Social Good: A Survey and Outlook of Challenges, Opportunities and Responsible Deployment Karamolegkou, A., Borah, A., Cho, E., Choudhury, S. R., Galletti, M., Gupta, P., Ignat, O., Kargupta, P., Kotonya, N., Lamba, H., et al. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), 5110-5170, (Editors: Demberg, Vera and Inui, Kentaro and Marquez, Lluís), Association for Computational Linguistics, 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL), March 2026 (Published) DOI URL BibTeX
Empirical Inference Article Imagining and building wise machines: the centrality of AI metacognition Johnson, S. G. B., Karimi, A., Bengio, Y., Chater, N., Gerstenberg, T., Larson, K., Levine, S., Mitchell, M., Rahwan, I., Schölkopf, B., et al. Trends in Cognitive Sciences, February 2026 (Published) DOI URL BibTeX
Empirical Inference Learning and Dynamical Systems Article A critical perspective on finite sample conformal prediction theory in medical applications Kladny, K., Schölkopf, B., Koch, L., Baumgartner, C. F., Muehlebach, M. Artificial Intelligence in Medicine, 180:103462, 2026 (Published) arXiv DOI URL BibTeX