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)

Two-Timescale Networks for Nonlinear Value Function Approximation. - Wesley Chung; Somjit Nath; Ajin Joseph 001; Martha White (ICLR (Poster), 2019)

Training Recurrent Neural Networks Online by Learning Explicit State Variables. - Somjit Nath; Vincent Liu; Alan Chan 001; Xin Li; Adam White 001; Martha White (ICLR, 2020)

SIBRE: Self Improvement Based REwards for Reinforcement Learning. - Somjit Nath; Richa Verma; Abhik Ray; Harshad Khadilkar (CoRR, 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 Adaptive Feedback in Reinforcement Learning. - Somjit Nath; Richa Verma; Abhik Ray; Harshad Khadilkar (AAMAS, 2021)

Revisiting State Augmentation methods for Reinforcement Learning with Stochastic Delays. - Somjit Nath; Mayank Baranwal; Harshad Khadilkar (CIKM, 2021)

A Learning Based Framework for Handling Uncertain Lead Times in Multi-Product Inventory Management. - Hardik Meisheri; Somjit Nath; Mayank Baranwal; Harshad Khadilkar (CoRR, 2022)

Locally Constrained Representations in Reinforcement Learning. - Somjit Nath; Samira Ebrahimi Kahou (CoRR, 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)

Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning. - Durgesh Kalwar; Omkar Shelke; Somjit Nath; Hardik Meisheri; Harshad Khadilkar (AAMAS, 2023)

Discovering Object-Centric Generalized Value Functions From Pixels. - Somjit Nath; Gopeshh Raaj Subbaraj; Khimya Khetarpal; Samira Ebrahimi Kahou (ICML, 2023)

Prioritizing Samples in Reinforcement Learning with Reducible Loss. - Shivakanth Sujit; Somjit Nath; Pedro H. M. Braga; Samira Ebrahimi Kahou (NeurIPS, 2023)

Spectral Temporal Contrastive Learning. - Sacha Morin; Somjit Nath; Samira Ebrahimi Kahou; Guy Wolf (CoRR, 2023)

Unsupervised Event Outlier Detection in Continuous Time. - Somjit Nath; Yik Chau Lui; Siqi Liu (CoRR, 2024)

Behaviour Discovery and Attribution for Explainable Reinforcement Learning. - Rishav Rishav; Somjit Nath; Vincent Michalski; Samira Ebrahimi Kahou (CoRR, 2025)