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Suhas Kumar
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2020 – today
- 2024
- [i4]Jinzhan Li, Suhas Kumar, Su-In Yi:
Energy Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars. CoRR abs/2407.04332 (2024) - 2023
- [j2]Robert P. Dick, Rob Aitken, Jace Mogill, John Paul Strachan, Kirk Bresniker, Wei Lu, Yorie Nakahira, Zhiyong Li, Matthew J. Marinella, William Severa, A. Alec Talin, Craig M. Vineyard, Suhas Kumar, Christian Mailhiot, Lennie Klebanoff:
Research Challenges for Energy-Efficient Computing in Automated Vehicles. Computer 56(3): 47-58 (2023) - [c5]Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar:
Energy-based learning algorithms for analog computing: a comparative study. NeurIPS 2023 - [i3]Benjamin Scellier, Maxence Ernoult, Jack D. Kendall, Suhas Kumar:
Energy-based learning algorithms for analog computing: a comparative study. CoRR abs/2312.15103 (2023) - 2022
- [c4]Su-In Yi, Suhas Kumar, R. Stanley Williams:
Combinatorial Optimization in Hopfield Networks with Noise and Diagonal Perturbations. ISCAS 2022: 321-325 - 2021
- [j1]Su-In Yi, Suhas Kumar, R. Stanley Williams:
Improved Hopfield Network Optimization Using Manufacturable Three-Terminal Electronic Synapses. IEEE Trans. Circuits Syst. I Regul. Pap. 68(12): 4970-4978 (2021) - 2020
- [c3]Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan:
Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization. ICRC 2020: 76-79 - [c2]Ioannis Messaris, Ronald Tetzlaff, Alon Ascoli, R. Stanley Williams, Suhas Kumar, Leon O. Chua:
A Simplified Model for a NbO2 Mott Memristor Physical Realization. ISCAS 2020: 1-5
2010 – 2019
- 2019
- [c1]Raymond G. Beausoleil, Thomas Van Vaerenbergh, Kirk Bresniker, Catherine Graves, Kimberly Keeton, Suhas Kumar, Can Li, Dejan S. Milojicic, Sergey Serebryakov, John Paul Strachan:
Future Computing Systems (FCS) to Support "Understanding" Capability. ICRC 2019: 88-97 - [p1]Suhas Kumar, Gary Gibson, Catherine E. Graves, Matthew D. Pickett, John Paul Strachan, R. Stanley Williams:
The Art and Science of Constructing a Memristor Model: Updated. Handbook of Memristor Networks 2019: 267-285 - [i2]Fuxi Cai, Suhas Kumar, Thomas Van Vaerenbergh, Rui Liu, Can Li, Shimeng Yu, Qiangfei Xia, J. Joshua Yang, Raymond G. Beausoleil, Wei Lu, John Paul Strachan:
Harnessing Intrinsic Noise in Memristor Hopfield Neural Networks for Combinatorial Optimization. CoRR abs/1903.11194 (2019) - [i1]Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik:
Thermodynamic Computing. CoRR abs/1911.01968 (2019)
Coauthor Index
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