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Sarthak Mittal
Sarthak Mittal
Mila, Université de Montréal
Verified email at umontreal.ca - Homepage
Title
Cited by
Cited by
Year
A modern take on the bias-variance tradeoff in neural networks
B Neal, S Mittal, A Baratin, V Tantia, M Scicluna, S Lacoste-Julien, ...
arXiv preprint arXiv:1810.08591, 2018
1532018
Learning to combine top-down and bottom-up signals in recurrent neural networks with attention over modules
S Mittal, A Lamb, A Goyal, V Voleti, M Shanahan, G Lajoie, M Mozer, ...
International Conference on Machine Learning, 6972-6986, 2020
462020
Systematic evaluation of causal discovery in visual model based reinforcement learning
NR Ke, A Didolkar, S Mittal, A Goyal, G Lajoie, S Bauer, D Rezende, ...
arXiv preprint arXiv:2107.00848, 2021
162021
Is a Modular Architecture Enough?
S Mittal, Y Bengio, G Lajoie
arXiv preprint arXiv:2206.02713, 2022
92022
Compositional Attention: Disentangling Search and Retrieval
S Mittal, SC Raparthy, I Rish, Y Bengio, G Lajoie
The International Conference on Learning Representations (ICLR), 2022, 2021
82021
Diffusion-Based Representation Learning
K Abstreiter, S Mittal, S Bauer, B Schölkopf, A Mehrjou
arXiv preprint arXiv:2105.14257, 2021
82021
A modern take on the bias-variance tradeoff in neural networks, 2019
B Neal, S Mittal, A Baratin, V Tantia, M Scicluna, S Lacoste-Julien, ...
URL https://openreview. net/forum, 1810
51810
From Points to Functions: Infinite-dimensional Representations in Diffusion Models
S Mittal, G Lajoie, S Bauer, A Mehrjou
arXiv preprint arXiv:2210.13774, 2022
32022
On Neural Architecture Inductive Biases for Relational Tasks
G Kerg, S Mittal, D Rolnick, Y Bengio, B Richards, G Lajoie
arXiv preprint arXiv:2206.05056, 2022
22022
MixupE: Understanding and Improving Mixup from Directional Derivative Perspective
V Verma, S Mittal, WH Tang, H Pham, J Kannala, Y Bengio, A Solin, ...
arXiv preprint arXiv:2212.13381, 2022
2022
Inductive Biases for Relational Tasks
G Kerg, S Mittal, D Rolnick, Y Bengio, BA Richards, G Lajoie
ICLR2022 Workshop on the Elements of Reasoning: Objects, Structure and Causality, 2022
2022
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Articles 1–11