Park, J.; Muandet, K.: A Measure-Theoretic Approach to Kernel Conditional Mean Embeddings. In: Advances in Neural Information Processing Systems 33, Vol. 26, pp. 21247 - 21259 (Eds. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, December 06, 2020 - December 12, 2020. Curran Associates, Inc., Red Hook, NY (2021)

Richard, H.; Gresele, L.; Hyvärinen, A.; Thirion, B.; Gramfort, A.; Ablin, P.: Modeling Shared responses in Neuroimaging Studies through MultiView ICA. In: Advances in Neural Information Processing Systems 33, Vol. 23, pp. 19149 - 19162 (Eds. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, December 06, 2020 - December 12, 2020. Curran Associates, Inc., Red Hook, NY (2021)

Schwarz, K.; Liao, Y.; Niemeyer, M.; Geiger, A.: GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis. In: Advances in Neural Information Processing Systems 33, Vol. 25, pp. 20154 - 20166 (Eds. Larochelle , H.; Ranzato, M.; Hadsell , R.; Balcan , M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, December 06, 2020 - December 12, 2020. Curran Associates, Inc., Red Hook, NY (2021)

Tripp, A.; Daxberger, E.; Hernández-Lobato, J. M.: Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining. In: Advances in Neural Information Processing Systems 33, Vol. 14, pp. 11259 - 11272 (Eds. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, December 06, 2020 - December 12, 2020. Curran Associates, Inc., Red Hook, NY (2021)

Wenger, J.; Hennig, P.: Probabilistic Linear Solvers for Machine Learning. In: Advances in Neural Information Processing Systems 33, Vol. 9, pp. 6731 - 6742 (Eds. Larochelle, H.; Ranzato, M.; Hadsell, R.; Balcan, M. F.; Lin, H.). 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Online, December 06, 2020 - December 12, 2020. Curran Associates, Inc., Red Hook, NY (2021)

Shafiee-Ashtiani, M.; Sarvestani, A. A.; Badri-Spröwitz, A.: Tackling sensorimotor delays and low control update frequencies during drop impacts with hybrid parallel leg compliance. The 9.5th international symposium on Adaptive Motion of Animals and Machines (AMAM 2021), Virtuell, June 22, 2021 - June 25, 2021. Osaka University Knowledge Archive 84871, (2021)

Fiedler, C.; Scherer, C. W.; Trimpe, S.: Practical and Rigorous Uncertainty Bounds for Gaussian Process Regression. In: The Thirty-Fifth AAAI Conference on Artificial Intelligence, the Thirty-Third Conference on Innovative Applications of Artificial Intelligence, the Eleventh Symposium on Educational Advances in Artificial Intelligence, Vol. 8, pp. 7439 - 7447. Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), Thirty-Third Conference on Innovative Applications of Artificial Intelligence (IAAI 2021), Eleventh Symposium on Educational Advances in Artificial Intelligence (EAAI 2021), Virtual, February 02, 2021 - February 09, 2021. AAAI Press, Palo Alto, CA (2021)

Purnendu; Acome, E.; Keplinger, C.; Gross, M. D.; Bruns, C.; Leithinger, D.: Soft Electrohydraulic Actuators for Origami Inspired Shape-Changing Interfaces. In: CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 377. Conference on Human Factors in Computing Systems (CHI 2021), Yokohama, May 08, 2021 - May 13, 2021. ACM, New York, NY (2021)

Young, E. M.; Kuchenbecker, K. J.: Ungrounded Vari-Dimensional Tactile Fingertip Feedback for Virtual Object Interaction. In: CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, 217. Conference on Human Factors in Computing Systems (CHI 2021), Yokohama, May 08, 2021 - May 13, 2021. ACM, New York, NY (2021)

Abu Alhaija, H.; Mustikovela, S. K.; Thies, J.; Jampani, V.; Nießner, M.; Geiger, A.; Rother, C.: Intrinsic Autoencoders for Joint Deferred Neural Rendering and Intrinsic Image Decomposition. In: 2020 International Conference on 3D Vision (3DV 2020), pp. 1176 - 1185. International Conference on 3D Vision (3DV 2020), Fukuoka, November 25, 2020 - November 28, 2020. IEEE, Piscataway, NJ (2021)

Bevill Burns, R.; Seifi, H.; Lee, H.; Kuchenbecker, K. J.: A Haptic Empathetic Robot Animal for Children with Autism. In: HRI '21 Companion: Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, pp. 583 - 585. ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021), Boulder, CO, March 08, 2021 - March 11, 2021. ACM, New York, NY (2021)

Block, A. E.; Christen, S.; Gassert, R.; Hilliges, O.; Kuchenbecker, K. J.: The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception. In: HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, pp. 380 - 388. ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021), Boulder, CO, March 08, 2021 - March 11, 2021. ACM, New York, NY (2021)

Dam, T.; Klink, P.; D'Eramo, C.; Peters, J.; Pajarinen, J.: Generalized Mean Estimation in Monte-Carlo Tree Search. In: Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), pp. 2380 - 2387. Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), Yokohama, January 07, 2021 - January 15, 2021. Curran Associates, Inc., Red Hook, NY (2021)

Foulds, J. R.; Park, M.; Chaudhuri, K.; Welling, M.: Variational Bayes in Private Settings (VIPS). In: Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), pp. 5022 - 5026. Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 2020), Yokohama, January 07, 2021 - January 15, 2021. Curran Associates, Inc., Red Hook, NY (2021)

Ghadiri, M.; Samadi, S.; Vempala, S.: Socially Fair k-Means Clustering. In: FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pp. 438 - 448. ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021) , Virtual Event, March 03, 2021 - March 10, 2021. ACM, New York, NY (2021)

Joulani, P.; Raj, A.; György, A.; Szepesvári, C.: A simpler approach to accelerated optimization: iterative averaging meets optimism. In: Proceedings of the 37th International Conference on Machine Learning (ICML 2020), pp. 4951 - 4960 (Eds. Daumé, H.; Singh, A.). 37th International Conference on Machine Learning (ICML 2020), Online, July 13, 2020 - July 18, 2020. Curran Associates, Inc., Red Hook, NY (2021)

Kalatzis, D.; Eklund, D.; Arvanitidis, G.; Hauberg, S.: Variational Autoencoders with Riemannian Brownian Motion Priors. In: Proceedings of the 37th International Conference on Machine Learning (ICML 2020), pp. 5020 - 5034 (Eds. Daumé, H.; Singh, A.). 37th International Conference on Machine Learning (ICML 2020), Online, July 13, 2020 - July 18, 2020. Curran Associates, Inc., Red Hook, NY (2021)

Karimi, A.-H.; Schölkopf, B.; Valera, I.: Algorithmic Recourse: from Counterfactual Explanations to Interventions. In: FAccT '21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pp. 353 - 362. ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021), Virtual Event, March 03, 2021 - March 10, 2021. ACM, New York, NY (2021)

Kersting, H.; Krämer, N.; Schiegg, M.; Daniel, C.; Tiemann, M.; Hennig, P.: Differentiable Likelihoods for Fast Inversion of ‘Likelihood-Free’ Dynamical Systems. In: Proceedings of the 37th International Conference on Machine Learning (ICML 2020), pp. 5154 - 5164 (Eds. Daumé, H.; Singh, A.). 37th International Conference on Machine Learning (ICML 2020), Online, July 13, 2020 - July 18, 2020. Curran Associates, Inc., Red Hook (2021)

Kristiadi, A.; Hein, M.; Hennig, P.: Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks. In: Proceedings of the 37th International Conference on Machine Learning (ICML 2020), pp. 5392 - 5402 (Eds. Daumé, H.; Singh, A.). 37th International Conference on Machine Learning (ICML 2020), Online, July 13, 2020 - July 18, 2020. Curran Associates, Inc., Red Hook, NY (2021)