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ORCIDPawan Kumar Mudigonda
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2020 – today
- 2022
[c7]Vitaly Kurin, Alessandro De Palma, Ilya Kostrikov, Shimon Whiteson, Pawan Kumar Mudigonda:
In Defense of the Unitary Scalarization for Deep Multi-Task Learning. NeurIPS 2022- 2020
- [c6]Prateek Gupta, Maxime Gasse, Elias B. Khalil
, Pawan Kumar Mudigonda, Andrea Lodi, Yoshua Bengio:
Hybrid Models for Learning to Branch. NeurIPS 2020
2010 – 2019
- 2018
- [c5]Rudy Bunel, Ilker Turkaslan, Philip H. S. Torr, Pushmeet Kohli, Pawan Kumar Mudigonda:
A Unified View of Piecewise Linear Neural Network Verification. NeurIPS 2018: 4795-4804 - 2016
- [c4]Diane Bouchacourt, Pawan Kumar Mudigonda, Sebastian Nowozin:
DISCO Nets : DISsimilarity COefficients Networks. NIPS 2016: 352-360 - [c3]Rudy Bunel, Alban Desmaison, Pawan Kumar Mudigonda, Pushmeet Kohli, Philip H. S. Torr:
Adaptive Neural Compilation. NIPS 2016: 1444-1452 - [i1]Rudy Bunel, Alban Desmaison, Pushmeet Kohli, Philip H. S. Torr, Pawan Kumar Mudigonda:
Adaptive Neural Compilation. CoRR abs/1605.07969 (2016)
2000 – 2009
- 2008
- [b1]Pawan Kumar Mudigonda:
Combinatorial and convex optimization for probabilistic models in computer vision. Oxford Brookes University, UK, 2008 - 2007
- [c2]Pawan Kumar Mudigonda, Vladimir Kolmogorov, Philip H. S. Torr:
An Analysis of Convex Relaxations for MAP Estimation. NIPS 2007: 1041-1048 - 2004
- [c1]Pawan Kumar Mudigonda, C. V. Jawahar, P. J. Narayanan:
Geometric Structure Computation from Conics. ICVGIP 2004: 9-14
Coauthor Index
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