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Prosi, J.; Khajehabdollahi, S.; Giannakakis, E.; Martius, G.; Levina, A.: The dynamical regime and its importance for evolvability, task performance and generalization. In: Artificial Life Conference Proceedings, Vol. 2021, 79. ALIFE 2021: The 2021 Conference on Artificial Life, Praha, Czech Republic, July 19, 2021 - July 23, 2021. MIT Press (2021)

Shiwen, L.; Steel, L.; Dahlsjö, C.; Peirson, S.; Shenkin, A.; Morimoto, T.; Smithson, H.; Spitschan, M.: Hyperspectral characterisation of natural illumination in woodland and forest environments. In: Novel Optical Systems, Methods, and Applications XXIV (Eds. Hahlweg, C.; Mulley, J.). SPIE Optical Engineering + Applications 2021, San Diego, CA, USA, August 01, 2021 - August 05, 2021. SPIE, Bellingham, WA, USA (submitted)

Tano, P.; Dayan, P.; Pouget, A.: A local temporal difference code for distributional reinforcement learning. In: Advances in Neural Information Processing Systems 33, pp. 13662 - 13673 (Eds. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M.-F.; Lin, H.-T.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), December 06, 2020 - December 12, 2020. Curran, Red Hook, NY, USA (2021)

Ahilan, S.; Dayan, P.: Correcting Experience Replay for Multi-Agent Communication. In: Ninth International Conference on Learning Representations (ICLR 2021). Ninth International Conference on Learning Representations (ICLR 2021), Vienna, Austria, May 03, 2021 - May 07, 2021. (2021)

Besserve, M.; Sun, R.; Janzing, D.; Schölkopf, B.: A theory of independent mechanisms for extrapolation in generative models. In: Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 35, pp. 6741 - 6749. 35th AAAI Conference on Artificial Intelligence: A Virtual Conference, February 02, 2021 - February 09, 2021. (2021)

Lurz, K.-K.; Bashiri, M.; Willeke, K.; Jagadish, A.; Wang, E.; Walker, E.; Cadena, S.; Muhammad, T.; Cobos, E.; Tolias, A. et al.; Ecker, A.; Sinz, F.: Generalization in data-driven models of primary visual cortex. In: Ninth International Conference on Learning Representations (ICLR 2021). Ninth International Conference on Learning Representations (ICLR 2021), Wien, Austria, May 03, 2021 - May 07, 2021. (2021)

Parascandolo, G.; Neitz, A.; Orvieto, A.; Gresele, L.; Schölkopf, B.: Learning explanations that are hard to vary. In: Ninth International Conference on Learning Representations (ICLR 2021). Ninth International Conference on Learning Representations (ICLR 2021), Wien, Austria, May 03, 2021 - May 07, 2021. (2021)

Nath, S.; Udandarao, V.; Shukla, J.: It’s LeVAsa not LevioSA! Latent Encodings for Valence-Arousal Structure Alignment. In: CODS COMAD 2021: 8th ACM IKDD CODS and 26th COMAD, pp. 238 - 242 (Eds. Haritsa, J.; Roy, S.; Gupta, M.; Mehrotra, S.; Srinivasan, B. et al.). CODS-COMAD 2021: 8th ACM IKDD CODS and 26th COMAD , Bangalore, India, January 02, 2021 - January 04, 2021. ACM Press, New York, NY, USA (2021)

Özkurt, S.; Fichter, W.; Rath, T.; Dieterich, O.; Priems, M.; Bülthoff, H.; Nooij, S.: From Helicopter Vibrations to Passenger Perceptions: A Closer Look on Standards. In: 76th Annual Forum & Technology Display of the Vertical Flight Society (Forum 76): The Future of Vertical Flight, 46, pp. 207 - 221. 76th Annual Forum & Technology Display of the Vertical Flight Society (Forum 76): The Future of Vertical Flight, October 05, 2020 - October 08, 2020. Curran, Red Hook, NY, USA (2021)

Kullmann, S.; Abbas, Z.; Machann, J.; Shah, N.; Scheffler, K.; Birkenfeld, A.; Häring, H.-U.; Fritsche, A.; Heni, M.; Preissl, H.: Investigating obesity‐associated brain inflammation using quantitative water content mapping. 1st "Neuroendocrinology and Brain Imaging" Symposium at OHBM 2019, Roma, Italy, 2019-06. Journal of Neuroendocrinology 32 (12), (2020)

Bertram, L.; Schulz, E.; Hofer, M.; Nelson, J.: The Psychology of Human Entropy Intuitions. In: 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines, P-1-120, pp. 1457 - 1463 (Eds. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, July 29, 2020 - August 01, 2020. Curran, Red Hook, NY, USA (2020)

Nath, S.: Hear Her Fear: Data Sonification for Sensitizing Society on Crime Against Women in India. In: IndiaHCI 2020: IndiaHCI '20: Proceedings of the 11th Indian Conference on Human-Computer Interaction, pp. 86 - 91. 11th Indian Conference on Human-Computer Interaction (IndiaHCI 2020), November 05, 2020 - November 08, 2020. ACM Press, New York, NY, USA (2020)

Xia, L.; Master, S.; Eckstein, M.; Wilbrecht, L.; Collins, A.: Learning under uncertainty changes during adolescence. In: 42nd Annual Meeting of the Cognitive Science Society (CogSci 2020): 5Developing a Mind: Learning in Humans, Animals, and Machines, pp. 716 - 722 (Eds. Denison, S.; Mack, M.; Xu, Y.; Armstrong, B.). 42nd Annual Virtual Meeting of the Cognitive Science Society (CogSci 2020), Toronto, Canada, July 29, 2020 - August 01, 2020. Curran, Red Hook, NY, USA (2020)

Cleij, D.; Pool, D.; Mulder, M.; Bülthoff, H.: Optimizing an Optimization-Based MCA using Perceived Motion Incongruence Models. In: 19th Driving Simulation & Virtual Reality Conference & Exhibiotion (DSC 2020 Europe VR), pp. 53 - 62. 19th Driving Simulation & Virtual Reality Conference & Exhibiotion (DSC 2020 Europe VR), Strasbourg, France, September 09, 2020 - September 11, 2020. Driving Simulation Association, Antony, France (2020)

Kang, H.; Yang, J.; Boss, R.; Lächele, J.; Bülthoff, H.; Wallraven, C.: Measuring acceleration perception with real-world, in-car data on a cable-robot-simulator. In: 19th Driving Simulation & Virtual Reality Conference & Exhibiotion (DSC 2020 Europe VR), pp. 71 - 74. 19th Driving Simulation & Virtual Reality Conference & Exhibiotion (DSC 2020 Europe VR), Strasbourg, France, September 09, 2020 - September 11, 2020. Driving Simulation Association, Antony, France (2020)

van der Ploeg, J.; Cleij, D.; Pool, D.; Mulder, M.; Bülthoff, H.: Sensitivity Analysis of an MPC-based Motion Cueing Algorithm for a Curve Driving Scenario. In: 19th Driving Simulation & Virtual Reality Conference & Exhibiotion (DSC 2020 Europe VR), pp. 37 - 44. 19th Driving Simulation & Virtual Reality Conference & Exhibiotion (DSC 2020 Europe VR), Strasbourg, France, September 09, 2020 - September 11, 2020. Driving Simulation Association, Antony, France (2020)

D'Intino, G.; Pollini, L.; Bülthoff, H.: A 2-DoF Helicopter Haptic Support System based on Pilot Intent Estimation with Neural Networks. In: Modeling and Simulation Technologies: Papers Presented at the AIAA SciTech Forum and Exposition 2020, 112-MST-3, pp. 84 - 95. AIAA Scitech 2020 Forum, Orlando, FL, USA, January 06, 2020 - January 10, 2020. Curran, Red Hook, NY, USA (2020)

Mallot, H.; Ecke, G.; Baumann, T.: Dual Population Coding for Path Planning in Graphs with Overlapping Place Representations. In: Spatial Cognition XII: 12th International Conference, Spatial Cognition 2020, Riga, Latvia, August 26–28, 2020, pp. 3 - 17 (Eds. Šķilters , J.; Newcombe, N.; Uttal, D.). 12th International Conference on Spatial Cognition, Riga, Latvia, August 26, 2020 - August 28, 2020. Springer, Cham, Switzerland (2020)

Sezener, E.; Dayan, P.: Static and Dynamic Values of Computation in MCTS. 36th Conference on Uncertainty in Artificial Intelligence (UAI 2020), August 03, 2020 - August 06, 2020. Proceedings of Machine Learning Research (PMLR) 124, 26, pp. 31 - 40 (2020)

Browning, M.; Carter, C.; Chatham, C.; Den Ouden, H.; Gillan, C.; Baker, J.; Chekroud, A.; Cools, R.; Dayan, P.; Gold, J. et al.; Goldstein, R.; Hartley, C.; Kepecs, A.; Lawson, R.; Mourao-Miranda, J.; Phillips, M.; Pizzagalli, D.; Powers, A.; Rindskopf, D.; Roiser, J.; Schmack, K.; Schiller, D.; Sebold, M.; Stephan, K.; Frank, M.; Huys, Q.; Paulus, M.: Realizing the Clinical Potential of Computational Psychiatry: Report from the Banbury Center Meeting, February 2019. Banbury Center Meeting 2019, Huntington, NY, USA, 2019-02. Biological Psychiatry 88 (2), pp. e5 - e10 (2020)