Law, Marc T.

20 publications

TMLR 2025 Approximation Rates and VC-Dimension Bounds for (P)ReLU MLP Mixture of Experts Anastasis Kratsios, Haitz Sáez de Ocáriz Borde, Takashi Furuya, Marc T. Law

TMLR 2025 Directed Graph Generation with Heat Kernels Marc T. Law, Karsten Kreis, Haggai Maron

ICLR 2025 Neural Spacetimes for DAG Representation Learning Haitz Sáez de Ocáriz Borde, Anastasis Kratsios, Marc T. Law, Xiaowen Dong, Michael M. Bronstein

JMLR 2025 Optimizing Data Collection for Machine Learning Rafid Mahmood, James Lucas, Jose M. Alvarez, Sanja Fidler, Marc T. Law

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

TMLR 2023 Bridging the Sim2Real Gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting Viraj Uday Prabhu, David Acuna, Rafid Mahmood, Marc T. Law, Yuan-Hong Liao, Judy Hoffman, Sanja Fidler, James Lucas

ICLR 2023 Spacetime Representation Learning Marc T. Law, James Lucas

ICLR 2022 Domain Adversarial Training: A Game Perspective David Acuna, Marc T Law, Guojun Zhang, Sanja Fidler

CVPR 2022 How Much More Data Do I Need? Estimating Requirements for Downstream Tasks Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, Jose M. Alvarez, Zhiding Yu, Sanja Fidler, Marc T. Law

ICLR 2022 Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach Rafid Mahmood, Sanja Fidler, Marc T Law

ICML 2021 F-Domain Adversarial Learning: Theory and Algorithms David Acuna, Guojun Zhang, Marc T. Law, Sanja Fidler

ICCV 2021 Self-Supervised Real-to-Sim Scene Generation Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law

ICLR 2019 Dimensionality Reduction for Representing the Knowledge of Probabilistic Models Marc T Law, Jake Snell, Amir-massoud Farahmand, Raquel Urtasun, Richard S Zemel

ICML 2017 Deep Spectral Clustering Learning Marc T. Law, Raquel Urtasun, Richard S. Zemel

CVPR 2017 Efficient Multiple Instance Metric Learning Using Weakly Supervised Data Marc T. Law, Yaoliang Yu, Raquel Urtasun, Richard S. Zemel, Eric P. Xing

CVPR 2016 Closed-Form Training of Mahalanobis Distance for Supervised Clustering Marc T. Law, YaoLiang Yu, Matthieu Cord, Eric P. Xing

CVPR 2014 Fantope Regularization in Metric Learning Marc T. Law, Nicolas Thome, Matthieu Cord

ICCV 2013 Quadruplet-Wise Image Similarity Learning Marc T. Law, Nicolas Thome, Matthieu Cord

ECCV 2012 Hybrid Pooling Fusion in the BoW Pipeline Marc T. Law, Nicolas Thome, Matthieu Cord

ECCVW 2012 Hybrid Pooling Fusion in the BoW Pipeline Marc T. Law, Nicolas Thome, Matthieu Cord