Konferenzbeitrag (94)
261.
Konferenzbeitrag
MYND: Unsupervised Evaluation of Novel BCI Control Strategies on Consumer Hardware. In: UIST '20: Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology, S. 1071 - 1084. ACM Symposium on User Interface Software and Technology (UIST 2020), Virtual Event, 20. Oktober 2020 - 23. Oktober 2020. ACM, New York, NY (2020)
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Towards Robot Skill Learning. In: 2020 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2020), S. 3 - 3. IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2020), Ponta Delgada, 15. April 2020 - 17. April 2020. IEEE, Piscataway, NJ (2020)
263.
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Importance Sampling via Local Sensitivity. In: Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS) 2020, S. 3099 - 3109 (Hg. Chiappa, S.; Calandra, R.). 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020), Online, 26. August 2020 - 28. August 2020. PMLR (2020)
264.
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Mixed-Variable Bayesian Optimization. In: Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI-20), S. 2616 - 2622. Twenty-Ninth International Joint Conference on Artificial Intelligence (IJCAI 20), Yokohama, 07. Januar 2020 - 15. Januar 2020. Curran Associates, Inc., Red Hook, NY (2020)
265.
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9, S. 13681 - 13684. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, 07. Februar 2020 - 12. Februar 2020. AAAI Press, Palo Alto, CA (2020)
A Commentary on the Unsupervised Learning of Disentangled Representations. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Bd. 266.
Konferenzbeitrag
4, S. 4083 - 4090. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, 07. Februar 2020 - 12. Februar 2020. AAAI Press, Palo Alto, CA (2020)
Interpretable and Differentially Private Predictions. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Bd. 267.
Konferenzbeitrag
4, S. 5298 - 5305. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, 07. Februar 2020 - 12. Februar 2020. AAAI Press, Palo Alto, CA (2020)
Radial and Directional Posteriors for Bayesian Deep Learning. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Bd. 268.
Konferenzbeitrag
4, S. 5561 - 5569. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, 07. Februar 2020 - 12. Februar 2020. AAAI Press, Palo Alto, CA (2020)
Chained Representation Cycling: Learning to Estimate 3D Human Pose and Shape by Cycling Between Representations. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Bd. 269.
Konferenzbeitrag
4, S. 5612 - 5619. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, 07. Februar 2020 - 12. Februar 2020. AAAI Press, Palo Alto, CA (2020)
Learning Counterfactual Representations for Estimating Individual Dose-Response Curves. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Bd. 270.
Konferenzbeitrag
4, S. 6364 - 6371. Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020), Thirty-Second Conference on Innovative Applications of Artificial Intelligence (IAAI 2020), Tenth Symposium on Educational Advances in Artificial Intelligence (EAAI 2020), New York, NY, 07. Februar 2020 - 12. Februar 2020. AAAI Press, Palo Alto, CA (2020)
ODIN: ODE-Informed Regression for Parameter and State Inference in Time-Continuous Dynamical Systems. In: The Thirty-Fourth AAAI Conference on Artificial Intelligence, the Thirty-Second Conference on Innovative Applications of Artificial Intelligence, the Tenth Symposium on Educational Advances in Artificial Intelligence, Bd. 271.
Konferenzbeitrag
16, S. 12520 - 12531 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33nd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
Control What You Can: Intrinsically Motivated Task-Planning Agent. In: Advances in Neural Information Processing Systems 32, Bd. 272.
Konferenzbeitrag
10, S. 7905 - 7917 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; F. d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
A Model to Search for Synthesizable Molecules. In: Advances in Neural Information Processing Systems 32, Bd. 273.
Konferenzbeitrag
10, S. 7456 - 7466 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; F. d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
Foundations of Comparison-Based Hierarchical Clustering. In: Advances in Neural Information Processing Systems 32, Bd. 274.
Konferenzbeitrag
20, S. 15661 - 15672 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset. In: Advances in Neural Information Processing Systems 32, Bd. 275.
Konferenzbeitrag
8, S. 6205 - 6216 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
Convergence Guarantees for Adaptive Bayesian Quadrature Methods. In: Advances in Neural Information Processing Systems 32, Bd. 276.
Konferenzbeitrag
6, S. 4133 - 4144 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
Limitations of the Empirical Fisher Approximation for Natural Gradient Descent. In: Advances in Neural Information Processing Systems 32, Bd. 277.
Konferenzbeitrag
3, S. 2232 - 2242 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
Kernel Stein Tests for Multiple Model Comparison. In: Advances in Neural Information Processing Systems 32, Bd. 278.
Konferenzbeitrag
12, S. 8761 - 8770 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Red Hook, NY (2020)
Fisher Efficient Inference of Intractable Models. In: Advances in Neural Information Processing Systems 32, Bd. 279.
Konferenzbeitrag
19, S. 14544 - 14557 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
On the Fairness of Disentangled Representations. In: Advances in Neural Information Processing Systems 32, Bd. 280.
Konferenzbeitrag
18, S. 14202 - 14212 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer, A.; d'Alché-Buc, F.; Fox, E. et al.). 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, 08. Dezember 2019 - 14. Dezember 2019. Curran Associates, Inc., Red Hook, NY (2020)
Stochastic Frank-Wolfe for Composite Convex Minimization. In: Advances in Neural Information Processing Systems 32, Bd.