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2020 – today
- 2022
[j1]Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen:
Learning and Inference in Sparse Coding Models With Langevin Dynamics. Neural Comput. 34(8): 1676-1700 (2022)- [i3]Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen:
Learning and Inference in Sparse Coding Models with Langevin Dynamics. CoRR abs/2204.11150 (2022) - 2020
- [c4]Ashray Manepalli, Mayur Mudigonda, Adrian Albert:
Modeling Mountain Snowpack Dynamics with CGANS: A Validation Study. IGARSS 2020: 3995-3998
2010 – 2019
- 2019
- [c3]Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra
, Sergey Levine:
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. ICRA 2019: 818-824 - [i2]Stephen Tian, Frederik Ebert, Dinesh Jayaraman, Mayur Mudigonda, Chelsea Finn, Roberto Calandra, Sergey Levine:
Manipulation by Feel: Touch-Based Control with Deep Predictive Models. CoRR abs/1903.04128 (2019) - 2018
- [c2]Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale deep learning for climate analytics. SC 2018: 51:1-51:12 - [i1]Thorsten Kurth, Sean Treichler, Joshua Romero, Mayur Mudigonda, Nathan Luehr, Everett H. Phillips, Ankur Mahesh, Michael A. Matheson, Jack Deslippe, Massimiliano Fatica, Prabhat, Michael Houston:
Exascale Deep Learning for Climate Analytics. CoRR abs/1810.01993 (2018) - 2014
- [c1]Jascha Sohl-Dickstein, Mayur Mudigonda, Michael Robert DeWeese:
Hamiltonian Monte Carlo Without Detailed Balance. ICML 2014: 719-726
Coauthor Index
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