Paul Vicol

Researcher, Google

Joined

December 2017

Names

Paul Vicol

Emails

****@cs.toronto.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Google (google.com)

2022 – Present

PhD student

Department of Computer Science, University of Toronto (cs.toronto.edu)

2016 – 2022

Intern

DeepMind (deepmind.com)

2021 – 2021

Intern

Google (google.com)

2020 – 2021

Advisors, Relations & Conflicts

PhD Advisor

Roger Baker Grosse

2016 – 2022

Expertise

LLMs

2023 – Present

Diffusion models

2022 – Present

Optimization

2016 – 2023

Publications

Video models are zero-shot learners and reasoners
Thaddäus Wiedemer, Yuxuan Li, Paul Vicol, Shixiang Shane Gu, Nick Matarese, Kevin Swersky, Been Kim, Priyank Jaini, Robert Geirhos
- Submitted to ICLR 2026
- Readers: Everyone
Directly Fine-Tuning Diffusion Models on Differentiable Rewards
Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet
- ICLR 2024 poster
- Readers: Everyone
Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single
Paul Vicol
- ICML 2023 Poster
- Readers: Everyone
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang et al. (430 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Amortized Proximal Optimization
Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger Baker Grosse
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Disentanglement and Generalization Under Correlation Shifts
Christina M Funke, Paul Vicol, Kuan-Chieh Wang, Matthias Kuemmerer, Richard Zemel, Matthias Bethge
- Published: 25 Mar 2022, Last Modified: 14 Jan 2026
- ICLR2022 OSC Oral
- Readers: Everyone
Understanding and Mitigating Exploding Inverses in Invertible Neural Networks
Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jörn-Henrik Jacobsen
- 2021 (modified: 25 Feb 2022)
- AISTATS 2021
- Readers: Everyone
Complex Momentum for Learning in Games
Jonathan Lorraine, David Acuna, Paul Vicol, David Duvenaud
- 2021 (modified: 25 Feb 2022)
- CoRR 2021
- Readers: Everyone
Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies
Paul Vicol, Luke Metz, Jascha Sohl-Dickstein
- 2021 (modified: 25 Feb 2022)
- ICML 2021
- Readers: Everyone
Optimizing Millions of Hyperparameters by Implicit Differentiation
Jonathan Lorraine, Paul Vicol, David Duvenaud
- 2020 (modified: 25 Feb 2022)
- AISTATS 2020
- Readers: Everyone

View all 15 publications

Co-Authors

View all 480 co-authors