Somjit Nath

According to our database, Somjit Nath authored at least 18 papers between 2018 and 2026.

Collaborative distances:

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

2026

When does predictive inverse dynamics outperform behavior cloning?

Lukas Schäfer, Pallavi Choudhury, Abdelhak Lemkhenter, Chris Lovett, Somjit Nath, Luis França, Matheus Ribeiro Furtado de Mendonca, Alex Lamb, Riashat Islam, Siddhartha Sen, John Langford, Katja Hofmann, Sergio Valcarcel Macua

CoRR, January, 2026

Structured Representation Learning with Locally Linear Embeddings and Adaptive Feature Fusion.

Somjit Nath, Jackson J. Cone, Derek Nowrouzezahrai, Samira Ebrahimi Kahou

Trans. Mach. Learn. Res., 2026

2025

Behaviour Discovery and Attribution for Explainable Reinforcement Learning.

Rishav Rishav, Somjit Nath, Vincent Michalski, Samira Ebrahimi Kahou

Trans. Mach. Learn. Res., 2025

2024

Unsupervised Event Outlier Detection in Continuous Time.

Somjit Nath, Yik Chau Lui, Siqi Liu

CoRR, 2024

2023

Spectral Temporal Contrastive Learning.

Sacha Morin, Somjit Nath, Samira Ebrahimi Kahou, Guy Wolf

CoRR, 2023

Prioritizing Samples in Reinforcement Learning with Reducible Loss.

Shivakanth Sujit, Somjit Nath, Pedro H. M. Braga, Samira Ebrahimi Kahou

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Discovering Object-Centric Generalized Value Functions From Pixels.

Somjit Nath, Gopeshh Raaj Subbaraj, Khimya Khetarpal, Samira Ebrahimi Kahou

Proceedings of the International Conference on Machine Learning, 2023

Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning.

Durgesh Kalwar, Omkar Shelke, Somjit Nath, Hardik Meisheri, Harshad Khadilkar

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Scalable multi-product inventory control with lead time constraints using reinforcement learning.

Hardik Meisheri, Nazneen N. Sultana, Mayank Baranwal, Vinita Baniwal, Somjit Nath, Satyam Verma, Balaraman Ravindran, Harshad Khadilkar

Neural Comput. Appl., 2022

Locally Constrained Representations in Reinforcement Learning.

Somjit Nath, Samira Ebrahimi Kahou

CoRR, 2022

A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management.

Hardik Meisheri, Somjit Nath, Mayank Baranwal, Harshad Khadilkar

CoRR, 2022

2021

Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays.

Somjit Nath, Mayank Baranwal, Harshad Khadilkar

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning.

Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Reinforcement Learning for Multi-Product Multi-Node Inventory Management in Supply Chains.

Nazneen N. Sultana, Hardik Meisheri, Vinita Baniwal, Somjit Nath, Balaraman Ravindran, Harshad Khadilkar

CoRR, 2020

SIBRE: Self Improvement Based REwards for Reinforcement Learning.

Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar

CoRR, 2020

Training Recurrent Neural Networks Online by Learning Explicit State Variables.

Somjit Nath, Vincent Liu, Alan Chan, Xin Li, Adam White, Martha White

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Two-Timescale Networks for Nonlinear Value Function Approximation.

Wesley Chung, Somjit Nath, Ajin Joseph, Martha White

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Smartphone camera-based analysis of ELISA using artificial neural network.

Somjit Nath, Subhannita Sarcar, Biswendu Chatterjee, Rhishita Chourashi, Nabendu Sekhar Chatterjee

IET Comput. Vis., 2018