Geometric Structure Computation from Conics. - Pawan Kumar Mudigonda; C. V. Jawahar; P. J. Narayanan (ICVGIP, 2004)

An Analysis of Convex Relaxations for MAP Estimation. - Pawan Kumar Mudigonda; Vladimir Kolmogorov; Philip H. S. Torr (NIPS, 2007)

Combinatorial and convex optimization for probabilistic models in computer vision. - Pawan Kumar Mudigonda (2008)

DISCO Nets : DISsimilarity COefficients Networks. - Diane Bouchacourt; Pawan Kumar Mudigonda; Sebastian Nowozin (NIPS, 2016)

Adaptive Neural Compilation. - Rudy Bunel; Alban Desmaison; Pawan Kumar Mudigonda; Pushmeet Kohli; Philip H. S. Torr (NIPS, 2016)

A Unified View of Piecewise Linear Neural Network Verification. - Rudy Bunel; Ilker Turkaslan; Philip H. S. Torr; Pushmeet Kohli; Pawan Kumar Mudigonda (NeurIPS, 2018)

Hybrid Models for Learning to Branch. - Prateek Gupta; Maxime Gasse; Elias B. Khalil; Pawan Kumar Mudigonda; Andrea Lodi 001; Yoshua Bengio (NeurIPS, 2020)

In Defense of the Unitary Scalarization for Deep Multi-Task Learning. - Vitaly Kurin; Alessandro De Palma; Ilya Kostrikov; Shimon Whiteson; Pawan Kumar Mudigonda (NeurIPS, 2022)