| 2025 | CVPR | Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation. | Xiaoying Xing, Avinab Saha, Junfeng He, Susan Hao, Paul Vicol, Moonkyung Ryu, Gang Li, Sahil Singla, Sarah Young, Yinxiao Li, Feng Yang, Deepak Ramachandran |
| 2024 | ICLR | Directly Fine-Tuning Diffusion Models on Differentiable Rewards. | Kevin Clark, Paul Vicol, Kevin Swersky, David J. Fleet |
| 2023 | ICML | Low-Variance Gradient Estimation in Unrolled Computation Graphs with ES-Single. | Paul Vicol |
| 2022 | AISTATS | Complex Momentum for Optimization in Games. | Jonathan P. Lorraine, David Acuna, Paul Vicol, David Duvenaud |
| 2022 | ICML | On Implicit Bias in Overparameterized Bilevel Optimization. | Paul Vicol, Jonathan P. Lorraine, Fabian Pedregosa, David Duvenaud, Roger B. Grosse |
| 2022 | IJCAI | Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies (Extended Abstract). | Paul Vicol, Luke Metz, Jascha Sohl-Dickstein |
| 2021 | AISTATS | Understanding and Mitigating Exploding Inverses in Invertible Neural Networks. | Jens Behrmann, Paul Vicol, Kuan-Chieh Wang, Roger B. Grosse, Jrn-Henrik Jacobsen |
| 2021 | ICML | Unbiased Gradient Estimation in Unrolled Computation Graphs with Persistent Evolution Strategies. | Paul Vicol, Luke Metz, Jascha Sohl-Dickstein |
| 2020 | AISTATS | Optimizing Millions of Hyperparameters by Implicit Differentiation. | Jonathan Lorraine, Paul Vicol, David Duvenaud |
| 2019 | ICLR | Self-Tuning Networks: Bilevel Optimization of Hyperparameters using Structured Best-Response Functions. | Matthew MacKay, Paul Vicol, Jonathan Lorraine, David Duvenaud, Roger B. Grosse |
| 2018 | CVPR | MovieGraphs: Towards Understanding Human-Centric Situations From Videos. | Paul Vicol, Makarand Tapaswi, Llus Castrejn, Sanja Fidler |
| 2018 | ICLR | Flipout: Efficient Pseudo-Independent Weight Perturbations on Mini-Batches. | Yeming Wen, Paul Vicol, Jimmy Ba, Dustin Tran, Roger B. Grosse |
| 2018 | ICML | Adversarial Distillation of Bayesian Neural Network Posteriors. | Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel |
| 2016 | ECAI | A Minimization-Based Approach to Iterated Multi-Agent Belief Change. | Paul Vicol, James P. Delgrande, Torsten Schaub |
| 2015 | LPNMR | An Implementation of Consistency-Based Multi-agent Belief Change Using ASP. | Paul Vicol, James P. Delgrande, Torsten Schaub |