On a continuous time model of gradient descent dynamics and instability in deep learning.
Trans. Mach. Learn. Res., 2023
Towards Learning Universal Audio Representations.
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Proceedings of the IEEE International Conference on Acoustics, 2022
Discretization Drift in Two-Player Games.
Proceedings of the 38th International Conference on Machine Learning, 2021
Product Kanerva Machines: Factorized Bayesian Memory.
CoRR, 2020
Training Generative Adversarial Networks by Solving Ordinary Differential Equations.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
LOGAN: Latent Optimisation for Generative Adversarial Networks.
CoRR, 2019
Shaping Belief States with Generative Environment Models for RL.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Optimizing Agent Behavior over Long Time Scales by Transporting Value.
CoRR, 2018
Learning Attractor Dynamics for Generative Memory.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
The Kanerva Machine: A Generative Distributed Memory.
Proceedings of the 6th International Conference on Learning Representations, 2018