Suchergebnisse

Khajehnejad, M.; Habibollahi, F.; Nock, R.; Arabzadeh, E.; Dayan, P.; Dezfouli, A.: Neural Network Poisson Models for Behavioural and Neural Spike Train Data. In: International Conference on Machine Learning, 17-23 July 2022, Baltimore, Maryland, USA, S. 10974 - 10996 (Hg. Chaudhuri, K.; Jegelka, S.; Song, L.; Szepesvari, C.; Niu, G. et al.). Thirty-ninth International Conference on Machine Learning (ICML 2022), Baltimore, MD, USA, 17. Juli 2022 - 23. Juli 2022. (2022)

Renz, F.; Grossman, S.; Dayan, P.; Doeller, C.; Schuck, N.: Representation learning facilitates different levels of generalization. In: 2022 Conference on Cognitive Computational Neuroscience, P-2.66, S. 460 - 462. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, 25. August 2022 - 28. August 2022. (2022)

Schütt, H.; Kipnis, A.; Diedrichsen, J.; Kriegeskorte, N.: Statistical inference on representational geometries. In: 2022 Conference on Cognitive Computational Neuroscience, P-3.54, S. 663 - 665. Conference on Cognitive Computational Neuroscience (CCN 2022), San Francisco, CA, USA, 25. August 2022 - 28. August 2022. (2022)

Demircan, C.; Pettini, L.; Saanum, T.; Binz, M.; Baczkowski, B.; Doeller, C.; Garvert, M.; Schulz, E.: Decision-Making with Naturalistic Options. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 976 - 982 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)

Ludwig, T.; Wu, C.; Schulz, E.: Connecting Exploration, Generalization, and Planning in Correlated Trees. In: 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, S. 2940 - 2946 (Hg. Culbertson, J.; Perfors, A.; Rabagliati, H.; Ramenzoni, V.). 44th Annual Meeting of the Cognitive Science Society (CogSci 2022): Cognitive Diversity, Toronto, Canada, 27. Juli 2022 - 30. Juli 2022. (2022)

Steiglechner, J.; Wang, Q.; Ramadan, D.; Mahler, L.; Scheffler, K.; Bender, B.; Lindig, T.; Lohmann, G.: FLEXseg: Next Generation Brain MRI Segmentation at 9.4 T. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022), Zürich, Swtzerland, 06. Juli 2022 - 08. Juli 2022. (2022)

Wang, Q.; Steiglechner, J.; Lindig, T.; Bender, B.; Scheffler, K.; Lohmann, G.: Super-Resolution for Ultra High-Field MR Images. In: Medical Imaging with Deep Learning (MIDL 2022). Medical Imaging with Deep Learning (MIDL 2022) , Zürich, Swtzerland , 06. Juli 2022 - 08. Juli 2022. (2022)

Bröker, F.; Roads, B.; Dayan, P.; Love, B.: Teaching categories to human semi-supervised learners. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 2.8, S. 122 - 125. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

Jagadish, A.; Saanum, T.; Wang, J.; Binz, M.; Schulz, E.: Probing Compositional Inference in Natural and Artificial Agents. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.67, S. 275 - 279. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

Özkurt, S.; Fichter, W.; Fischer, C.; Bülthoff, H.: On the Impact of Flight Control Systems on Kinetosis of Helicopter Passengers. In: 78th Annual Vertical Flight Society Forum and Technology Display (FORUM 78): The Future of Vertical Flight, 44, S. 304 - 315. 78th Annual Forum & Technology Display of the Vertical Flight Society (VFS 2022), Fort Worth, TX, USA, 10. Mai 2022 - 12. Mai 2022. Curran, Red Hook, NY, USA (2022)

Bashiri, M.; Walker, E.; Lurz, K.-K.; Jagadish, A.; Muhammad, T.; Ding, Z.; Ding, Z.; Tolias, A.; Sinz, F.: A flow-based latent state generative model of neural population responses to natural images. In: Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), S. 15801 - 15815 (Hg. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 06. Dezember 2021 - 14. Dezember 2021. Curran, Red Hook, NY, USA (2022)

Dayan, P.; Gagne, C.: Two steps to risk sensitivity. In: Advances in Neural Information Processing Systems 34: 35th Conference on Neural Information Processing Systems (NeurIPS 2021), S. 22209 - 22220 (Hg. Ranzato, M.; Beygelzimer, A.; Liang, P.; Vaughan, J.; Dauphin, Y.). Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), 06. Dezember 2021 - 14. Dezember 2021. Curran, Red Hook, NY, USA (2022)

Wise, T.; Charpentier, C.; Dayan, P.; Mobbs, D.: Modeling the mind of a predator: Interactive cognitive maps enable avoidance of dynamic threats. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.49, S. 32 - 33. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

Witte, K.; Wise, T.; Schulz, E.: The two faces of anxiety in exploration: Taking risks or playing it safe. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 1.47, S. 32. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, 08. Juni 2022 - 11. Juni 2022. (2022)

Besserve, M.; Shajarisales, N.; Janzing, D.; Schölkopf, B.: Cause-effect inference through spectral independence in linear dynamical systems: theoretical foundations. In: Proceedings of Machine Learning Research (PMLR), Bd. 177, S. 110 - 143. 1st Conference on Causal Learning and Reasoning (CLeaR 2022), Eureka, CA, USA, 11. April 2022 - 13. April 2022. Curran, Red Hook, NY, USA (2022)

Folle, L.; Tkotz, K.; Gadjimuradov, F.; Kapsner, L.; Fabian, M.; Bickelhaupt, S.; Kleyer, A.; Krönke, K.; Zaiss, M.; Nagel, A. et al.; Maier, A.: Towards Super-resolution CEST MRI for Visualization of Small Structures. In: Bildverarbeitung für die Medizin 2022: Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26-28, 2022, S. 210 - 215. BVM Workshop 2022: Bildverarbeitung für die Medizin: Algorithmen - Systeme - Anwendungen, Heidelberg, Germany, 26. Juni 2022 - 28. Juni 2022. Springer Vieweg, Springer, Wiesbaden (2022)

Wu, S.; Éltetö, N.; Dasgupta, I.; Schulz, E.: Learning Structure from the Ground up: Hierarchical Representation Learning by Chunking. In: Tenth International Conference on Learning Representations (ICLR 2022). Tenth International Conference on Learning Representations (ICLR 2022), 25. April 2022 - 29. April 2022. (2022)

Pollini, L.; Cavaliere, C.; Innocenti, M.; Bülthoff, H.; Teufel, H.; Mozzillo, L.; Benincasa, M.; Maiorca, E.; Scarabattoli, D.; Ferri, F. et al.; di Blasio, D.: Design, Analysis and Selection of Haptic Inceptor Configurations for Tilt-Rotor Application. In: 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), S. 2853 - 2860. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2021), Melbourne, Australia, 17. Oktober 2021 - 20. Oktober 2021. IEEE, Piscataway, NJ, USA (2022)

Gagne, C.; Dayan, P.: Catastrophe, Compounding & Consistency in Choice. In: Workshop on Human and Machine Decisions @ NeurIPS 2021 (WHMD 2021). Workshop on Human and Machine Decisions @ NeurIPS 2021 (WHMD 2021), 14. Dezember 2021. (2021)

Meding, K.; Schulze Buschoff, L.; Geirhos, R.; Wichmann, F.: ImageNet suffers from dichotomous data difficulty. In: NeurIPS 2021 Workshop on ImageNet: past, present, and future, S. 1 - 27. NeurIPS 2021 Workshop on ImageNet: past, present, and future, 13. Dezember 2021 - 14. Dezember 2021. (2021)