Suhas Kumar

Head of Research, Rain AI

Joined

May 2023

Names

Suhas Kumar (Preferred)

Emails

****@rain.ai (Confirmed)

,

****@alumni.stanford.edu (Confirmed)

Personal Links

Career & Education History

Head of Research

Rain AI (rain.ai)

2018 – Present

Advisors, Relations & Conflicts

Coworker

Benjamin Scellier

2022 – Present

Coworker

Maxence Ernoult

2022 – Present

Coworker

2018 – Present

Expertise

No areas of expertise listed

Publications

Forward Target Propagation: A Forward-Only Approach to Global Error Credit Assignment via Local Losses
Nazmus Saadat As-Saquib, A N M Nafiz Abeer, Hung-Ta Chien, Byung-Jun Yoon, Suhas Kumar, Su-in Yi
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Incorruptible Neural Networks: Training Models that can Generalize to Large Internal Perturbations
Philip Jacobson, Ben Feinberg, Suhas Kumar, Sapan Agarwal, Tianyao Patrick Xiao, Christopher Bennett
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Energy-Based Learning Algorithms for Analog Computing: A Comparative Study
Benjamin Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar
- MLNCP Poster
- Readers: Everyone
Energy-Based Learning Algorithms: A Comparative Study
Benjamin Scellier, Maxence Ernoult, Jack Kendall, Suhas Kumar
- ICML LLW 2023
- Readers: Everyone
Research Challenges for Energy-Efficient Computing in Automated Vehicles
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
- Mar 2023 (modified: 24 Apr 2023)
- Computer 2023
- Readers: Everyone
Combinatorial Optimization in Hopfield Networks with Noise and Diagonal Perturbations
Su-In Yi, Suhas Kumar, R. Stanley Williams
- Published: 01 Jan 2022, Last Modified: 15 May 2023
- ISCAS 2022
- Readers: Everyone
Improved Hopfield Network Optimization Using Manufacturable Three-Terminal Electronic Synapses
Su-In Yi, Suhas Kumar, R. Stanley Williams
- Published: 01 Jan 2021, Last Modified: 15 May 2023
- IEEE Trans. Circuits Syst. I Regul. Pap. 2021
- Readers: Everyone
Classical Adiabatic Annealing in Memristor Hopfield Neural Networks for Combinatorial Optimization
Suhas Kumar, Thomas Van Vaerenbergh, John Paul Strachan
- Published: 01 Jan 2020, Last Modified: 15 May 2023
- ICRC 2020
- Readers: Everyone
A Simplified Model for a NbO2 Mott Memristor Physical Realization
Ioannis Messaris, Ronald Tetzlaff, Alon Ascoli, R. Stanley Williams, Suhas Kumar, Leon O. Chua
- Published: 01 Jan 2020, Last Modified: 15 May 2023
- ISCAS 2020
- Readers: Everyone
The Art and Science of Constructing a Memristor Model: Updated
Suhas Kumar, Gary Gibson, Catherine E. Graves, Matthew D. Pickett, John Paul Strachan, R. Stanley Williams
- Published: 01 Jan 2019, Last Modified: 15 May 2023
- Handbook of Memristor Networks 2019
- Readers: Everyone

View all 13 publications

Co-Authors

View all 83 co-authors