Adam M. Oberman
McGill University
H-index: 29
North America-Canada
Top articles of Adam M. Oberman
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Multi-resolution continuous normalizing flows | Annals of Mathematics and Artificial Intelligence | Vikram Voleti Chris Finlay Adam Oberman Christopher Pal | 2024/3/21 |
Euclidnets: An alternative operation for efficient inference of deep learning models | SN Computer Science | Xinlin Li Mariana Parazeres Adam Oberman Alireza Ghaffari Masoud Asgharian | 2023/6/30 |
Addressing Sample Inefficiency in Multi-View Representation Learning | arXiv preprint arXiv:2312.10725 | Kumar Krishna Agrawal Arna Ghosh Adam Oberman Blake Richards | 2023/12/17 |
Deep PDE Solvers for Subgrid Modelling and Out-of-Distribution Generalization | Patrick Chatain Adam M Oberman | 2023/10/13 | |
On the generalization of representations in reinforcement learning | International Conference on Artificial Intelligence and Statistics (AISTATS22) | Charline Le Lan Stephen Tu Adam Oberman Rishabh Agarwal Marc G Bellemare | 2022/3/1 |
EuclidNets: Combining Hardware and Architecture Design for Efficient Training and Inference. | Mariana Oliveira Prazeres Xinlin Li Adam M Oberman Vahid Partovi Nia | 2022 | |
Methods and systems for computing an output of a neural network layer | 2022/11/24 | ||
Score-based denoising diffusion with non-isotropic gaussian noise models | Vikram Voleti Christopher Pal Adam Oberman | 2022/10/21 | |
A reproducible and realistic evaluation of partial domain adaptation methods | arXiv preprint arXiv:2210.01210 | Tiago Salvador Kilian Fatras Ioannis Mitliagkas Adam Oberman | 2022/10/3 |
ImageNet-Cartoon and ImageNet-Drawing: two domain shift datasets for ImageNet | Tiago Salvador Adam M Oberman | 2022/6/4 | |
Improving continuous normalizing flows using a multi-resolution framework | Vikram Voleti Chris Finlay Adam M Oberman Christopher Pal | 2021/6/2 | |
Improved predictive uncertainty using corruption-based calibration | stat | Tiago Salvador Vikram Voleti Alexander Iannantuono Adam Oberman | 2021/6 |
Bias mitigation of face recognition models through calibration | arXiv preprint arXiv:2106.03761 | Tiago Salvador Stephanie Cairns Vikram Voleti Noah Marshall Adam Oberman | 2021/6 |
Stochastic gradient descent with polyak’s learning rate | Journal of Scientific Computing | Mariana Prazeres Adam M Oberman | 2021/10 |
Scaleable input gradient regularization for adversarial robustness | Machine Learning with Applications | Chris Finlay Adam M Oberman | 2021/3/15 |
Frustratingly easy uncertainty estimation for distribution shift | arXiv preprint arXiv:2106.03762 | Tiago Salvador Vikram Voleti Alexander Iannantuono Adam Oberman | 2021/6/7 |
Faircal: Fairness calibration for face verification | arXiv preprint arXiv:2106.03761 | Tiago Salvador Stephanie Cairns Vikram Voleti Noah Marshall Adam Oberman | 2021/6/7 |
Learning normalizing flows from Entropy-Kantorovich potentials | arXiv preprint arXiv:2006.06033 | Chris Finlay Augusto Gerolin Adam M Oberman Aram-Alexandre Pooladian | 2020/6/10 |
Solution of optimal transportation problems using a multigrid linear programming approach | Journal of Computational Mathematics | Adam M Oberman Yuanlong Ruan | 2020/11/15 |
A regularization interpretation of the proximal point method for weakly convex functions | J. Dyn. Games | Tim Hoheisel Maxime Laborde Adam Oberman | 2020/1/1 |
Co-Authors
