Methods and Analysis of The First Competition in Predicting Generalization of Deep Learning. - Yiding Jiang; Parth Natekar; Manik Sharma; Sumukh K. Aithal; Dhruva Kashyap; Natarajan Subramanyam; Carlos Lassance; Daniel M. Roy 001; Gintare Karolina Dziugaite; Suriya Gunasekar; Isabelle Guyon; Pierre Foret; et al. (NeurIPS (Competition and Demos), 2020)

Robustness to Augmentations as a Generalization metric. - Sumukh K. Aithal; Dhruva Kashyap; Natarajan Subramanyam (CoRR, 2021)

Automated Generation and Grading for Finite State Machine Assignments. - Dhruva Kashyap; Manu Bhat; N. S. Kumar (COMPUTE, 2022)

LP-based Construction of DC Decompositions for Efficient Inference of Markov Random Fields. - Chaitanya Murti; Dhruva Kashyap; Chiranjib Bhattacharyya (AISTATS, 2024)

DO-EM: Density Operator Expectation Maximization. - Adit Vishnu; Abhay Shastry; Dhruva Kashyap; Chiranjib Bhattacharyya (CoRR, 2025)