Measuring of exhaust gas emissions using absorption spectroscopy. - Eamonn Hawe; Gerard Dooly; Colin Fitzpatrick; Paul Chambers; Elfed Lewis; Weizhong Zhao; Tong Sun 004; K. T. V. Grattan; Martin Degner; Hartmut Ewald; Steffen Lochmann; G. Bramman; et al. (Int. J. Intell. Syst. Technol. Appl., 2007)

Monitoring of Environmentally Hazardous Exhaust Emissions from Cars Using Optical Fibre Sensors. - Elfed Lewis; John Clifford; Colin Fitzpatrick; Gerard Dooly; Weizhong Zhao; Tong Sun 004; K. T. V. Grattan; James Lucas; Martin Degner; Hartmut Ewald; Steffen Lochmann; Gero Bramann; et al. (SAMOS, 2008)

Adversarial Distillation of Bayesian Neural Network Posteriors. - Kuan-Chieh Wang; Paul Vicol; James Lucas; Li Gu; Roger B. Grosse; Richard S. Zemel (ICML, 2018)

Aggregated Momentum: Stability Through Passive Damping. - James Lucas; Richard S. Zemel; Roger B. Grosse (CoRR, 2018)

A linear-time method for computing the ANOS of Bernoulli and Poisson CUSUM charts. - Emma Pollard; Darwin Davis; Erwin Saniga; James Lucas (Qual. Reliab. Eng. Int., 2018)

Aggregated Momentum: Stability Through Passive Damping. - James Lucas; Shengyang Sun; Richard S. Zemel; Roger B. Grosse (ICLR (Poster), 2019)

Understanding Posterior Collapse in Generative Latent Variable Models. - James Lucas; George Tucker; Roger B. Grosse; Mohammad Norouzi 002 (DGS@ICLR, 2019)

Sorting Out Lipschitz Function Approximation. - Cem Anil; James Lucas; Roger B. Grosse (ICML, 2019)

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks. - Qiyang Li; Saminul Haque; Cem Anil; James Lucas; Roger B. Grosse; Jörn-Henrik Jacobsen (NeurIPS, 2019)

Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse. - James Lucas; George Tucker; Roger B. Grosse; Mohammad Norouzi 002 (NeurIPS, 2019)

Lookahead Optimizer: k steps forward, 1 step back. - Michael R. Zhang; James Lucas; Jimmy Ba; Geoffrey E. Hinton (NeurIPS, 2019)

Regularized linear autoencoders recover the principal components, eventually. - Xuchan Bao; James Lucas; Sushant Sachdeva; Roger B. Grosse (NeurIPS, 2020)

Flexible Few-Shot Learning with Contextual Similarity. - Mengye Ren; Eleni Triantafillou; Kuan-Chieh Wang; James Lucas; Jake Snell; Xaq Pitkow; Andreas S. Tolias; Richard S. Zemel (CoRR, 2020)

Causal BERT: Improving object detection by searching for challenging groups. - Cinjon Resnick; Or Litany; Amlan Kar; Karsten Kreis; James Lucas; Kyunghyun Cho; Sanja Fidler (ICCVW, 2021)

Theoretical bounds on estimation error for meta-learning. - James Lucas; Mengye Ren; Irene Raissa Kameni; Toniann Pitassi; Richard S. Zemel (ICLR, 2021)

On Monotonic Linear Interpolation of Neural Network Parameters. - James Lucas; Juhan Bae; Michael R. Zhang; Stanislav Fort; Richard S. Zemel; Roger B. Grosse (ICML, 2021)

Analyzing Monotonic Linear Interpolation in Neural Network Loss Landscapes. - James Lucas; Juhan Bae; Michael R. Zhang; Stanislav Fort; Richard S. Zemel; Roger B. Grosse (CoRR, 2021)

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. - Rafid Mahmood; James Lucas; David Acuna; Daiqing Li; Jonah Philion; José M. Álvarez 004; Zhiding Yu; Sanja Fidler; Marc T. Law (CVPR, 2022)

Optimizing Data Collection for Machine Learning. - Rafid Mahmood; James Lucas; José M. Álvarez 004; Sanja Fidler; Marc T. Law (NeurIPS, 2022)

Causal Scene BERT: Improving object detection by searching for challenging groups of data. - Cinjon Resnick; Or Litany; Amlan Kar; Karsten Kreis; James Lucas; Kyunghyun Cho; Sanja Fidler (CoRR, 2022)

The Calibration Generalization Gap. - A. Michael Carrell; Neil Mallinar; James Lucas; Preetum Nakkiran (CoRR, 2022)

Optimization and Loss Landscape Geometry of Deep Learning - James Lucas (2022)

ATT3D: Amortized Text-to-3D Object Synthesis. - Jonathan Lorraine; Kevin Xie; Xiaohui Zeng; Chen-Hsuan Lin 001; Towaki Takikawa; Nicholas Sharp; Tsung-Yi Lin; Ming-Yu Liu 001; Sanja Fidler; James Lucas (ICCV, 2023)

Spacetime Representation Learning. - Marc T. Law; James Lucas (ICLR, 2023)

Interactive AI Material Generation and Editing in NVIDIA Omniverse. - Hassan Abu Alhaija; James Lucas; Alexander Zook; Michael Babcock; David Tyner; Rajeev Rao; Maria Shugrina (SIGGRAPH Real Time Live!, 2023)

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. - Viraj Prabhu; David Acuna; Andrew Liao; Rafid Mahmood; Marc T. Law; Judy Hoffman; Sanja Fidler; James Lucas (CoRR, 2023)

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. - Viraj Prabhu; David Acuna; Rafid Mahmood; Marc T. Law; Yuan-Hong Liao; Judy Hoffman; Sanja Fidler; James Lucas (Trans. Mach. Learn. Res., 2023)

Improving Hyperparameter Optimization with Checkpointed Model Weights. - Nikhil Mehta 004; Jonathan Lorraine; Steve Masson; Ramanathan Arunachalam; Zaid Pervaiz Bhat; James Lucas; Arun George Zachariah (ECCV Workshops (11), 2024)

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. - Kevin Xie; Jonathan Lorraine; Tianshi Cao; Jun Gao 004; James Lucas; Antonio Torralba 001; Sanja Fidler; Xiaohui Zeng (ECCV (77), 2024)

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. - Yuan-Hong Liao; David Acuna; Rafid Mahmood; James Lucas; Viraj Prabhu; Sanja Fidler (ICLR, 2024)

Graph Metanetworks for Processing Diverse Neural Architectures. - Derek Lim; Haggai Maron; Marc T. Law; Jonathan Lorraine; James Lucas (ICLR, 2024)

SpaceMesh: A Continuous Representation for Learning Manifold Surface Meshes. - Tianchang Shen; Zhaoshuo Li; Marc T. Law; Matan Atzmon; Sanja Fidler; James Lucas; Jun Gao 004; Nicholas Sharp (SIGGRAPH Asia, 2024)

Multi-student Diffusion Distillation for Better One-step Generators. - Yanke Song; Jonathan Lorraine; Weili Nie; Karsten Kreis; James Lucas (CoRR, 2024)

Uncertainty Estimation for 3D Object Detection via Evidential Learning. - Nikita Durasov; Rafid Mahmood; Jiwoong Choi; Marc T. Law; James Lucas; Pascal Fua; José M. Álvarez 004 (CoRR, 2024)

Replay Can Provably Increase Forgetting. - Yasaman Mahdaviyeh; James Lucas; Mengye Ren; Andreas S. Tolias; Richard S. Zemel; Toniann Pitassi (CoRR, 2025)