Shen, T.; Nath, S.; Brielmann, A.; Dayan, P.: Simplicity in Complexity: Explaining Visual Complexity using Deep Segmentation Models. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024), S. 2017 - 2024. 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Wu, S.; Thalmann, M.; Schulz, E.: Learning abstractions from discrete sequences. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024). 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Zhou, H.; Nagy, D.; Wu, C.: Harmonizing Program Induction with Rate-Distortion Theory. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), S. 2511 - 2518. 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), Rotterdam, the Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Nath, S.; Dayan, P.; Stevenson, C.: Characterising the Creative Process in Humans and Large Language Models. In: 15th International Conference on Computational Creativity: ICCC'24, 179. 15th International Conference on Computational Creativity (ICCC 2024), Jönköping, Sweden, 17. Juni 2024 - 21. Juni 2024. (2024)

Binz, M.; Schulz, E.: Turning large language models into cognitive models. In: Twelfth International Conference on Learning Representations (ICLR 2024). Twelfth International Conference on Learning Representations (ICLR 2024), Wien, Austria, 07. Mai 2024 - 11. Mai 2024. (2024)

Coda-Forno, J.; Binz, M.; Akata, Z.; Botvinick, M.; Wang, J.; Schulz, E.: Meta-in-context learning in large language models. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2844, S. 65189 - 65201 (Hg. Ho, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M. et al.). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, 10. Dezember 2023 - 16. Dezember 2023. Curran, Red Hook, NY, USA (2024)

Nath, S.; Shen, K.; Brielmann, A.; Dayan, P.: Simplicity in Complexity. In: ICLR 2024 Workshop on Representational Alignment (Re-Align). ICLR 2024 Workshop on Representational Alignment (Re-Align), Wien, Austria, 11. Mai 2024. (2024)

Saanum, T.; Éltetö, N.; Dayan, P.; Binz, M.; Schulz, E.: Reinforcement Learning with Simple Sequence Priors. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 2710, S. 61985 - 62005 (Hg. Oh, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M. et al.). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, 10. Dezember 2023 - 16. Dezember 2023. Curran, Red Hook, NY, USA (2024)

Salewski, L.; Alaniz, S.; Rio-Torto, I.; Schulz, E.; Akata, Z.: In-Context Impersonation Reveals Large Language Models’ Strengths and Biases. In: Advances in Neural Information Processing Systems 36: 37th Conference on Neural Information Processing Systems (NeurIPS 2023), 3152, S. 72044 - 72057 (Hg. Oh, A.; Naumann, T.; Globerson, A.; Saenko, K.; Hardt, M. et al.). Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS 2023), New Orleans, LA, USA, 10. Dezember 2023 - 16. Dezember 2023. Curran, Red Hook, NY, USA (2024)

Zaiss, M.; Rajput , J.; Dang, H.; Golkov, V.; Cremers, D.; Knoll, F.; Maier, A.: GPT4MR: Exploring GPT-4 as an MR sequence and reconstruction programming assistant. In: Bildverarbeitung für die Medizin 2024: Proceedings, German Conference on Medical Image Computing, Erlangen, March 10-12, 2024, S. 94 - 99 (Hg. Maier, A.; Deserno, T.; Handels, H.; Maier-Hein, K.; Palm, C. et al.). Bildverarbeitung für die Medizin 2024 (BVM 2024), Erlangen, Germany, 10. März 2024 - 12. März 2024. Springer Vieweg, Wiesbaden, Germany (2024)

Antonov, G.; Dayan, P.: Exploring Uncertainty in Distributional Reinforcement Learning. Reinforcement Learning Conference (RLC 2024), Amherst, MA, USA, 09. August 2024 - 12. August 2024. Reinforcement Learning Journal 2, S. 961 - 978 (2024)

Coda-Forno, J.; Binz, M.; Wang, J.; Schulz, E.: CogBench: a large language model walks into a psychology lab. In: Proceedings of Machine Learning Research: PLMR, Bd. 235, S. 9076 - 9108. 41st International Conference on Machine Learning (ICML 2024), Wien, Austria, 21. Juli 2024 - 27. Juli 2024. (2024)

Jagadish, A.; Coda-Forno, J.; Thalmann, M.; Schulz, E.; Binz, M.: Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks. In: Proceedings of Machine Learning Research: PLMR, Bd. 235, S. 21121 - 21147. 41st International Conference on Machine Learning (ICML 2024), Wien, Austria, 21. Juli 2024 - 27. Juli 2024. (2024)

Schubert, J.; Jagadish, A.; Binz, M.; Schulz, E.: In-Context Learning Agents Are Asymmetric Belief Updaters. In: Proceedings of Machine Learning Research: PLMR, Bd. 235, S. 43928 - 43946. 41st International Conference on Machine Learning (ICML 2024), Wien, Austria, 21. Juli 2024 - 27. Juli 2024. (2024)

Breska, A.: Cortical phase alignment to the speech envelope, but not to isochronous streams, reflects non-oscillatory evoked responses. In 53rd Annual Meeting of the Society for Neuroscience (Neuroscience 2024), MIN22.06, S. 34. 53rd Annual Meeting of the Society for Neuroscience (Neuroscience 2024), San Diego, CA, USA, 05. Oktober 2024 - 09. Oktober 2024. (2024)

de Araujo, I.: Brain-Body Communication and the Regulation of Emotional Behaviors. In The 27th Annual Meeting of the Korean Society for Brain and Neural Sciences in conjunction with the 18th Biennial Meeting of the Asian-Pacific Society for Neurochemistry, S2-1, S. 6. The 27th Annual Meeting of the Korean Society for Brain and Neural Sciences in conjunction with the 18th Biennial Meeting of the Asian-Pacific Society for Neurochemistry (KSBNS APSN 2024), Gyeongju, Korea, 15. Oktober 2024. (2024)

Bullinger, F.; Kempf, N.; Povolni, P.; Neumann, R.; Engelmann, J.; Romanowski, J.; Pravdivtsev , A.; Körber, R.; Plaumann, M.; Scheffler, K. et al.; Buckenmaier, K.: Magnetic resonance in the zero and ultralow field regime: a transition from one-dimensional oscillation to precession. In 26th Annual Meeting of the German-speaking section of ISMRM: DACH-ISMRM 2024, 104, S. 40 - 41. DACH-ISMRM Annual Meeting 2024, Tübingen, Germany, 04. September 2024 - 05. September 2024. (2024)

Endres, J.; Weinmüller, S.; Dawood, P.; Freudensprung, M.; Glang, F.; Nagel, A.; Zaiss, M.: Direct Encoded Signal Control with Phase Distribution Graphs for readout-tailored multipulse pTx optimization. In Magnetic Resonance Materials in Physics, Biology and Medicine, 37 (Supplement 1), O28, S. S48 - S50. 40th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2024), Barcelona, Spain, 02. Oktober 2024 - 05. Oktober 2024. No longer published by Elsevier, Amsterdam (2024)

Glang, F.; Scheffler, K.: Multichannel compressed sensing MRI with time-varying coil sensitivities. In Magnetic Resonance Materials in Physics, Biology and Medicine, 37 (Supplement 1), O16, S. S26 - S28. 40th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2024), Barcelona, Spain, 02. Oktober 2024 - 05. Oktober 2024. No longer published by Elsevier, Amsterdam (2024)

Golbabaei, S.; Krylova, M.; Winter, N.; Izyurov, I.; Meilicke, H.; McClain, L.; Eichhorn, J.; Güllmar, D.; Hamit, L.; Buder, A. et al.; Li, M.; Walter, M.; Colic, L.: Neural Dynamics of Social Stress: Insights from fMRI and Heart Rate Variability. In British Association of Cognitive Neuroscience Annual Meeting. Annual Meeting of the British Association of Cognitive Neuroscience (BACN 2024), London, UK, 10. September 2024 - 11. September 2024. (2024)