James Lucas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
7
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ECCV | Improving Hyperparameter Optimization with Checkpointed Model Weights. | Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah |
| 2024 | ECCV | LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. | Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng |
| 2024 | ICLR | Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. | Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler |
| 2024 | ICLR | Graph Metanetworks for Processing Diverse Neural Architectures. | Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas |
| 2024 | SiggraphA | SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. | Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp |
| 2023 | ICCV | ATT3D: Amortized Text-to-3D Object Synthesis. | Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas |
| 2023 | ICLR | Spacetime Representation Learning. | Marc T. Law, James Lucas |
| 2023 | SIGGRAPH | Interactive AI Material Generation and Editing in NVIDIA Omniverse. | Hassan Abu Alhaija, James Lucas, Alexander Zook, Michael Babcock, David Tyner, Rajeev Rao, Maria Shugrina |
| 2022 | CVPR | How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. | Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jos M. lvarez, Zhiding Yu, Sanja Fidler, Marc T. Law |
| 2021 | ICLR | Theoretical bounds on estimation error for meta-learning. | James Lucas, Mengye Ren, Irene Raissa Kameni, Toniann Pitassi, Richard S. Zemel |
| 2021 | ICML | On Monotonic Linear Interpolation of Neural Network Parameters. | James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse |
| 2019 | ICLR | Aggregated Momentum: Stability Through Passive Damping. | James Lucas, Shengyang Sun, Richard S. Zemel, Roger B. Grosse |
| 2019 | ICLR | Understanding Posterior Collapse in Generative Latent Variable Models. | James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi |
| 2019 | ICML | Sorting Out Lipschitz Function Approximation. | Cem Anil, James Lucas, 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 |