Sarthak Mittal

According to our database, Sarthak Mittal authored at least 21 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

In-context learning and Occam's razor.

Eric Elmoznino, Tom Marty, Tejas Kasetty, Léo Gagnon, Sarthak Mittal, Mahan Fathi, Dhanya Sridhar, Guillaume Lajoie

CoRR, 2024

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.

Jarrid Rector-Brooks, Mohsin Hasan, Zhangzhi Peng, Zachary Quinn, Cheng-Hao Liu, Sarthak Mittal, Nouha Dziri, Michael M. Bronstein, Yoshua Bengio, Pranam Chatterjee, Alexander Tong, Avishek Joey Bose

CoRR, 2024

Recurrent Interpolants for Probabilistic Time Series Prediction.

Yu Chen, Marin Bilos, Sarthak Mittal, Wei Deng, Kashif Rasul, Anderson Schneider

CoRR, 2024

Amortizing intractable inference in diffusion models for vision, language, and control.

Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin

CoRR, 2024

Does learning the right latent variables necessarily improve in-context learning?

Sarthak Mittal, Eric Elmoznino, Léo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, Guillaume Lajoie

CoRR, 2024

On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling.

Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin

CoRR, 2024

Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Tara Akhound-Sadegh, Jarrid Rector-Brooks, Avishek Joey Bose, Sarthak Mittal, Pablo Lemos, Cheng-Hao Liu, Marcin Sendera, Siamak Ravanbakhsh, Gauthier Gidel, Yoshua Bengio, Nikolay Malkin, Alexander Tong

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MixupE: Understanding and improving Mixup from directional derivative perspective.

Yingtian Zou, Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Diffusion Based Representation Learning.

Sarthak Mittal, Korbinian Abstreiter, Stefan Bauer, Bernhard Schölkopf, Arash Mehrjou

Proceedings of the International Conference on Machine Learning, 2023

Leveraging Synthetic Targets for Machine Translation.

Sarthak Mittal, Oleksii Hrinchuk, Oleksii Kuchaiev

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Deep Reinforcement Learning-Based Traffic Light Scheduling Framework for SDN-Enabled Smart Transportation System.

Neetesh Kumar, Sarthak Mittal, Vaibhav Garg, Neeraj Kumar

IEEE Trans. Intell. Transp. Syst., 2022

MixupE: Understanding and Improving Mixup from Directional Derivative Perspective.

Vikas Verma, Sarthak Mittal, Wai Hoh Tang, Hieu Pham, Juho Kannala, Yoshua Bengio, Arno Solin, Kenji Kawaguchi

CoRR, 2022

From Points to Functions: Infinite-dimensional Representations in Diffusion Models.

Sarthak Mittal, Guillaume Lajoie, Stefan Bauer, Arash Mehrjou

CoRR, 2022

On Neural Architecture Inductive Biases for Relational Tasks.

Giancarlo Kerg, Sarthak Mittal, David Rolnick, Yoshua Bengio, Blake A. Richards, Guillaume Lajoie

CoRR, 2022

Is a Modular Architecture Enough?

Sarthak Mittal, Yoshua Bengio, Guillaume Lajoie

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Compositional Attention: Disentangling Search and Retrieval.

Sarthak Mittal, Sharath Chandra Raparthy, Irina Rish, Yoshua Bengio, Guillaume Lajoie

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Systematic Evaluation of Causal Discovery in Visual Model Based Reinforcement Learning.

Nan Rosemary Ke, Aniket Didolkar, Sarthak Mittal, Anirudh Goyal, Guillaume Lajoie, Stefan Bauer, Danilo Jimenez Rezende, Michael Mozer, Yoshua Bengio, Chris Pal

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Congestion Control utilizing Software Defined Control Architecture at the Traffic Light Intersection.

Vaibhav Garg, Anuj Sachan, Neetesh Kumar, Sarthak Mittal

Proceedings of the IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems, 2021

2020

Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over Modules.

Sarthak Mittal, Alex Lamb, Anirudh Goyal, Vikram Voleti, Murray Shanahan, Guillaume Lajoie, Michael Mozer, Yoshua Bengio

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Prediction of employee performance using machine learning techniques.

Anu Singh Lather, Ruchika Malhotra, Priya Saloni, Prabhjot Singh, Sarthak Mittal

Proceedings of the AISS 2019: 2019 International Conference on Advanced Information Science and System, 2019

2018

A Modern Take on the Bias-Variance Tradeoff in Neural Networks.

Brady Neal, Sarthak Mittal, Aristide Baratin, Vinayak Tantia, Matthew Scicluna, Simon Lacoste-Julien, Ioannis Mitliagkas

CoRR, 2018