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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
2032018
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
662020
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, ...
NeurIPS 2021 Datasets and Benchmarks Track, 2021
372021
Is a modular architecture enough?
S Mittal, Y Bengio, G Lajoie
Advances in Neural Information Processing Systems 35, 28747-28760, 2022
312022
Diffusion-Based Representation Learning
K Abstreiter, S Mittal, S Bauer, B Schölkopf, A Mehrjou
International Conference on Machine Learning, 2023
212023
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
172021
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
152022
From points to functions: Infinite-dimensional representations in diffusion models
S Mittal, G Lajoie, S Bauer, A Mehrjou
arXiv preprint arXiv:2210.13774, 2022
62022
A Modern Take on the Bias-Variance Tradeoff in Neural Networks.[arXiv]
B Neal, S Mittal, A Baratin, V Tantia, M Scicluna, S Lacoste-Julien, ...
arXiv preprint arXiv:1810.08591, 2019
52019
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
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
42022
MixupE: Understanding and improving Mixup from directional derivative perspective
Y Zou, V Verma, S Mittal, WH Tang, H Pham, J Kannala, Y Bengio, A Solin, ...
Uncertainty in Artificial Intelligence, 2597-2607, 2023
32023
Iterated Denoising Energy Matching for Sampling from Boltzmann Densities
T Akhound-Sadegh, J Rector-Brooks, AJ Bose, S Mittal, P Lemos, CH Liu, ...
arXiv preprint arXiv:2402.06121, 2024
12024
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling
M Sendera, M Kim, S Mittal, P Lemos, L Scimeca, J Rector-Brooks, ...
arXiv preprint arXiv:2402.05098, 2024
2024
Exchangeable Dataset Amortization for Bayesian Posterior Inference
S Mittal, NL Bracher, G Lajoie, P Jaini, MA Brubaker
2023
Exploring Exchangeable Dataset Amortization for Bayesian Posterior Inference
S Mittal, NL Bracher, G Lajoie, P Jaini, MA Brubaker
ICML 2023 Workshop on Structured Probabilistic Inference {\&} Generative …, 2023
2023
Leveraging Synthetic Targets for Machine Translation
S Mittal, O Hrinchuk, O Kuchaiev
Findings of the Association for Computational Linguistics (2023), 2023
2023
Comparative Study of Enhanced Round Robin Algorithms with Drrha and Other Metaheuristic Algorithms
R Verma, S Mittal, S Pawar, M Sharma, D Gupta
International Conference on Innovative Computing and Communications …, 2022
2022
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