Exploring the Space of Key-Value-Query Models with Intention.
CoRR, 2023
Incorporating prior knowledge into deep neural networks without handcrafted features
PhD thesis, 2021
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs.
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CoRR, 2021
Time-series Imputation of Temporally-occluded Multiagent Trajectories.
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CoRR, 2021
Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
A Neural Network Auction For Group Decision Making Over a Continuous Space.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets.
CoRR, 2020
An Explicitly Relational Neural Network Architecture.
Proceedings of the 37th International Conference on Machine Learning, 2020
A Neural Architecture for Designing Truthful and Efficient Auctions.
CoRR, 2019
Meta-Learning surrogate models for sequential decision making.
CoRR, 2019
Open-ended learning in symmetric zero-sum games.
Proceedings of the 36th International Conference on Machine Learning, 2019
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module.
Proceedings of the 7th International Conference on Learning Representations, 2019
Attentive Neural Processes.
Proceedings of the 7th International Conference on Learning Representations, 2019
Verification of deep probabilistic models.
CoRR, 2018
Consistent Generative Query Networks.
CoRR, 2018
Conditional Neural Processes.
Proceedings of the 35th International Conference on Machine Learning, 2018
Towards Deep Symbolic Reinforcement Learning.
CoRR, 2016
Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders.
CoRR, 2016