Suchergebnisse

Chebolu, S.; Dayan, P.: Optimal and sub-optimal temporal decisions can explain procrastination in a real-world task. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), P3-L-638, S. 3102 - 3108. 46th Annual Meeting of the Cognitive Science Society (CogSci 2024) , Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

Hamidi, M.; Khajehabdollahi, S.; Giannakakis, E.; Schäfer, T.; Levina, A.; Wu, C.: Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning. In: ALIFE 2024: Proceedings of the 2024 Artificial Life Conference. 2024 Conference on Artificial Life, Copenhagen, Denmark, 22. Juli 2024 - 26. Juli 2024. (2024)

Haridi, S.; Thalmann, M.; Schulz, E.: The Effect of Set Size on Long-Term-Memory Retrieval Times in Cued Recall. 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)

Jagadish, A.; Dasgupta, I.; Lerousseau, J.; Binz, M.: In-context learning in natural and artificial intelligence. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024), S. 6 - 7. In-Context Learning in Natural and Artificial Intelligence: Workshop at CogSci 2024, Rotterdam, The Netherlands, 24. Juli 2024. (2024)

Nasonov, A.; Solomakha, G.; Hurshkainen, A.: Numerical Optimization of Multichannel Rx-only RF Coil for Parallel Imaging at 0.07T. In: 2024 IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), S. 308 - 310 (Hg. Korotkov, A.). IEEE Ural-Siberian Conference on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT 2024), Yekaterinburg, Russian Federation, 13. Mai 2024 - 15. Mai 2024. IEEE (2024)

Nazemorroaya, A.; Bang, D.; Dayan, P.: State-Independent and State-Dependent Learning in a Motivational Go/NoGo task. In: 46th Annual Conference of the Cognitive Science Society (CogSci 2024), S. 2171 - 2178. 46th Annual Conference of the Cognitive Science Society (CogSci 2024), Rotterdam, The Netherlands, 24. Juli 2024 - 27. Juli 2024. (2024)

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)

Wong, E.; Hauser, T.; Pietrini, P.; Wu, C.: Shock to Thrill: Linking Sensation and Information Seeking. In: 46th Annual Meeting of the Cognitive Science Society (CogSci 2024), S. 2096 - 2104 (Hg. Frank, S.; Toneva, M.; Mackey, A.; Hazeltine, E.). 46th Annual Meeting 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 (Hg. Frank, S.; Toneva, M.; Mackey, A.; Hazeltine, E.). 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)

Khajehabdollahi, S.; Zeraati, R.; Giannakakis, E.; Schäfer, T.; Martius, G.; Levina, A.: Emergent mechanisms for long timescales depend on training curriculum and affect performance in memory tasks. In: Twelfth International Conference on Learning Representations 2024: ICLR 2024 (Hg. Kim, B.; Yue, Y.; Chaudhuri, S.; Fragkiadaki, K.; Khan, M. et al.). Twelfth International Conference on Learning Representations (ICLR 2024), Wien, Austria, 07. Mai 2024 - 11. Mai 2024. (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)

Spieler, A.; Rahaman, N.; Martius, G.; Schölkopf, B.; Levina, A.: The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks. In: Twelfth International Conference on Learning Representations 2024: ICLR 2024 (Hg. Kim, B.; Yue, Y.; Chaudhuri, S.; Fragkiadaki, K.; Khan, M. et al.). Twelfth International Conference on Learning Representations (ICLR 2024), Wien, Austria, 07. Mai 2024 - 11. Mai 2024. (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)