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ORCIDJames Lucas
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2020 – today
- 2024
[c21]Kevin Xie, Jonathan Lorraine
, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. ECCV (77) 2024: 305-322- [c20]Yuan-Hong Liao, David Acuna, Rafid Mahmood, James Lucas, Viraj Prabhu, Sanja Fidler:
Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. ICLR 2024 - [c19]Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas:
Graph Metanetworks for Processing Diverse Neural Architectures. ICLR 2024 - [c18]Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp:
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. SIGGRAPH Asia 2024: 78:1-78:11 - [i22]Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. CoRR abs/2403.15385 (2024) - [i21]Nikhil Mehta, Jonathan Lorraine, Steve Masson, Ramanathan Arunachalam, Zaid Pervaiz Bhat, James Lucas, Arun George Zachariah:
Improving Hyperparameter Optimization with Checkpointed Model Weights. CoRR abs/2406.18630 (2024) - [i20]Tianchang Shen, Zhaoshuo Li, Marc T. Law, Matan Atzmon, Sanja Fidler, James Lucas, Jun Gao, Nicholas Sharp:
SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. CoRR abs/2409.20562 (2024) - [i19]Yanke Song, Jonathan Lorraine, Weili Nie, Karsten Kreis, James Lucas:
Multi-student Diffusion Distillation for Better One-step Generators. CoRR abs/2410.23274 (2024) - [i18]Nikita Durasov, Rafid Mahmood, Jiwoong Choi, Marc T. Law, James Lucas, Pascal Fua, José M. Álvarez:
Uncertainty Estimation for 3D Object Detection via Evidential Learning. CoRR abs/2410.23910 (2024) - 2023
- [j3]Viraj Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. Trans. Mach. Learn. Res. 2023 (2023) - [c17]Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas:
ATT3D: Amortized Text-to-3D Object Synthesis. ICCV 2023: 17900-17910 - [c16]Marc T. Law, James Lucas:
Spacetime Representation Learning. ICLR 2023 - [c15]Hassan Abu Alhaija, James Lucas, Alexander Zook, Michael Babcock, David Tyner, Rajeev Rao, Maria Shugrina:
Interactive AI Material Generation and Editing in NVIDIA Omniverse. SIGGRAPH Real Time Live! 2023: 4:1-4:2 - [i17]Viraj Prabhu, David Acuna, Andrew Liao, Rafid Mahmood, Marc T. Law, Judy Hoffman, Sanja Fidler, James Lucas:
Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. CoRR abs/2302.04832 (2023) - [i16]Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas:
ATT3D: Amortized Text-to-3D Object Synthesis. CoRR abs/2306.07349 (2023) - [i15]Derek Lim, Haggai Maron, Marc T. Law, Jonathan Lorraine, James Lucas:
Graph Metanetworks for Processing Diverse Neural Architectures. CoRR abs/2312.04501 (2023) - 2022
- [c14]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CVPR 2022: 275-284 - [c13]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. NeurIPS 2022 - [i14]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal Scene BERT: Improving object detection by searching for challenging groups of data. CoRR abs/2202.03651 (2022) - [i13]Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law:
How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. CoRR abs/2207.01725 (2022) - [i12]Rafid Mahmood, James Lucas, José M. Álvarez, Sanja Fidler, Marc T. Law:
Optimizing Data Collection for Machine Learning. CoRR abs/2210.01234 (2022) - [i11]A. Michael Carrell, Neil Mallinar, James Lucas, Preetum Nakkiran:
The Calibration Generalization Gap. CoRR abs/2210.01964 (2022) - 2021
- [c12]Cinjon Resnick, Or Litany, Amlan Kar, Karsten Kreis, James Lucas, Kyunghyun Cho, Sanja Fidler:
Causal BERT: Improving object detection by searching for challenging groups. ICCVW 2021: 2972-2981 - [c11]James Lucas, Mengye Ren, Irene Raissa Kameni, Toniann Pitassi, Richard S. Zemel:
Theoretical bounds on estimation error for meta-learning. ICLR 2021 - [c10]James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse:
On Monotonic Linear Interpolation of Neural Network Parameters. ICML 2021: 7168-7179 - [i10]James Lucas, Juhan Bae, Michael R. Zhang, Stanislav Fort, Richard S. Zemel, Roger B. Grosse:
Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes. CoRR abs/2104.11044 (2021) - 2020
- [c9]Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse:
Regularized linear autoencoders recover the principal components, eventually. NeurIPS 2020 - [i9]Xuchan Bao, James Lucas, Sushant Sachdeva, Roger B. Grosse:
Regularized linear autoencoders recover the principal components, eventually. CoRR abs/2007.06731 (2020) - [i8]James Lucas, Mengye Ren, Irene Kameni, Toniann Pitassi, Richard S. Zemel:
Theoretical bounds on estimation error for meta-learning. CoRR abs/2010.07140 (2020) - [i7]Mengye Ren, Eleni Triantafillou, Kuan-Chieh Wang, James Lucas, Jake Snell, Xaq Pitkow, Andreas S. Tolias, Richard S. Zemel:
Flexible Few-Shot Learning with Contextual Similarity. CoRR abs/2012.05895 (2020)
2010 – 2019
- 2019
- [c8]James Lucas, Shengyang Sun, Richard S. Zemel, Roger B. Grosse:
Aggregated Momentum: Stability Through Passive Damping. ICLR (Poster) 2019 - [c7]James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi:
Understanding Posterior Collapse in Generative Latent Variable Models. DGS@ICLR 2019 - [c6]Cem Anil, James Lucas, Roger B. Grosse:
Sorting Out Lipschitz Function Approximation. ICML 2019: 291-301 - [c5]James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi:
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse. NeurIPS 2019: 9403-9413 - [c4]Michael R. Zhang, James Lucas, Jimmy Ba, Geoffrey E. Hinton:
Lookahead Optimizer: k steps forward, 1 step back. NeurIPS 2019: 9593-9604 - [c3]Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen:
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. NeurIPS 2019: 15364-15376 - [i6]Michael R. Zhang, James Lucas, Geoffrey E. Hinton, Jimmy Ba:
Lookahead Optimizer: k steps forward, 1 step back. CoRR abs/1907.08610 (2019) - [i5]Qiyang Li, Saminul Haque, Cem Anil, James Lucas, Roger B. Grosse, Jörn-Henrik Jacobsen:
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. CoRR abs/1911.00937 (2019) - [i4]James Lucas, George Tucker, Roger B. Grosse, Mohammad Norouzi:
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse. CoRR abs/1911.02469 (2019) - 2018
- [j2]Emma Pollard, Darwin Davis, Erwin Saniga, James Lucas:
A linear-time method for computing the ANOS of Bernoulli and Poisson CUSUM charts. Qual. Reliab. Eng. Int. 34(5): 699-706 (2018) - [c2]Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel:
Adversarial Distillation of Bayesian Neural Network Posteriors. ICML 2018: 5177-5186 - [i3]James Lucas, Richard S. Zemel, Roger B. Grosse:
Aggregated Momentum: Stability Through Passive Damping. CoRR abs/1804.00325 (2018) - [i2]Kuan-Chieh Wang, Paul Vicol, James Lucas, Li Gu, Roger B. Grosse, Richard S. Zemel:
Adversarial Distillation of Bayesian Neural Network Posteriors. CoRR abs/1806.10317 (2018) - [i1]Cem Anil, James Lucas, Roger B. Grosse:
Sorting out Lipschitz function approximation. CoRR abs/1811.05381 (2018)
2000 – 2009
- 2008
- [c1]Elfed Lewis, John Clifford, Colin Fitzpatrick, Gerard Dooly, Weizhong Zhao, Tong Sun, K. T. V. Grattan, James Lucas, Martin Degner, Hartmut Ewald, Steffen Lochmann, Gero Bramann, Edoardo Merlone-Borla, Flavio Gili:
Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors. SAMOS 2008: 238-247 - 2007
- [j1]Eamonn Hawe, Gerard Dooly, Colin Fitzpatrick, Paul Chambers, Elfed Lewis, Weizhong Zhao, Tong Sun, K. T. V. Grattan, Martin Degner, Hartmut Ewald, Steffen Lochmann, G. Bramman, C. Wei, D. Hitchen, James Lucas, Ahmed Al-Shamma'a, Edoardo Merlone-Borla, P. Faraldi, M. Pidria:
Measuring of exhaust gas emissions using absorption spectroscopy. Int. J. Intell. Syst. Technol. Appl. 3(1/2): 33-51 (2007)
Coauthor Index
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