Paul Vicol
Paul Vicol
Google DeepMind
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Cited by
Cited by
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
Optimizing millions of hyperparameters by implicit differentiation
J Lorraine, P Vicol, D Duvenaud
International Conference on Artificial Intelligence and Statistics, 1540-1552, 2020
Flipout: Efficient pseudo-independent weight perturbations on mini-batches
Y Wen, P Vicol, J Ba, D Tran, R Grosse
ICLR 2018, 2018
Self-tuning networks: Bilevel optimization of hyperparameters using structured best-response functions
M MacKay*, P Vicol*, J Lorraine, D Duvenaud, R Grosse
ICLR 2019, 2019
Moviegraphs: Towards understanding human-centric situations from videos
P Vicol, M Tapaswi, L Castrejon, S Fidler
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Understanding and mitigating exploding inverses in invertible neural networks
J Behrmann*, P Vicol*, KC Wang*, R Grosse, JH Jacobsen
International Conference on Artificial Intelligence and Statistics, 1792-1800, 2021
Adversarial distillation of bayesian neural network posteriors
KC Wang, P Vicol, J Lucas, L Gu, R Grosse, R Zemel
International Conference on Machine Learning, 5190-5199, 2018
Reversible recurrent neural networks
M MacKay, P Vicol, J Ba, R Grosse
NeurIPS 2018, 2018
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
P Vicol, L Metz, J Sohl-Dickstein
International Conference on Machine Learning (Outstanding Paper), 10553-10563, 2021
On Implicit Bias in Overparameterized Bilevel Optimization
P Vicol, JP Lorraine, F Pedregosa, D Duvenaud, RB Grosse
International Conference on Machine Learning, 22234-22259, 2022
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
K Clark*, P Vicol*, K Swersky, DJ Fleet
arXiv preprint arXiv:2309.17400, 2023
Amortized Proximal Optimization
J Bae*, P Vicol*, JZ HaoChen, R Grosse
NeurIPS 2022, 2022
Few-shot Out-of-Distribution Detection
KC Wang, P Vicol, E Triantafillou, R Zemel
ICML 2020 Workshop on Uncertainty and Robustness in Deep Learning, 2020
Lyapunov Exponents for Diversity in Differentiable Games
J Lorraine, P Vicol, J Parker-Holder, T Kachman, L Metz, J Foerster
AAMAS 2022, 2021
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
P Vicol, Z Kolter, K Swersky
arXiv preprint arXiv:2304.11153, 2023
Disentanglement and Generalization Under Correlation Shifts
CM Funke*, P Vicol*, KC Wang, M Kümmerer, R Zemel, M Bethge
CoLLAs 2022, 2021
Using Bifurcations for Diversity in Differentiable Games
J Lorraine, J Parker-Holder, P Vicol, A Pacchiano, L Metz, T Kachman, ...
Complex Momentum for Learning in Games
J Lorraine, D Acuna, P Vicol, D Duvenaud
AISTATS 2022, 2021
An Implementation of Consistency-Based Multi-Agent Belief Change using ASP
P Vicol, J Delgrande, T Schaub
International Conference on Logic Programming and Nonmonotonic Reasoning …, 2015
On Bilevel Optimization without Full Unrolls: Methods and Applications
PA Vicol
University of Toronto (Canada), 2023
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