Natesh Ganesh

11 papers Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2023 J jnl
Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation.
CoRR
Adam N. McCaughan, Bakhrom G. Oripov, Natesh Ganesh, Sae Woo Nam, Andrew M. Dienstfrey, Sonia M. Buckley
2021 J jnl
From Quantifying Vagueness To Pan-niftyism.
CoRR
Natesh Ganesh
2020 J jnl
A Non-equilibrium Thermodynamic Framework of Consciousness.
CoRR
Natesh Ganesh
2020 J jnl
C-Wars: The Unfolding Argument Strikes Back - A Reply to 'Falsification & Consciousness'.
CoRR
Natesh Ganesh
2020 — conf
Rebooting Neuromorphic Design - A Complexity Engineering Approach.
ICRC
Natesh Ganesh
2020 J jnl
Rethinking Neuromorphic Hardware Design - A Complexity Engineering Approach.
CoRR
Natesh Ganesh
2019 J jnl
Thermodynamic Computing.
CoRR
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
2018 — conf
Thermodynamic Intelligence, a Heretical Theory.
ICRC
Natesh Ganesh
2017 — conf
A Thermodynamic Treatment of Intelligent Systems.
ICRC
Natesh Ganesh
2016 — conf
A path toward ultra-low-energy computing.
ICRC
Erik P. DeBenedictis, Michael P. Frank, Natesh Ganesh, Neal G. Anderson
2013 — conf
On-chip error correction with unreliable decoders: Fundamental physical limits.
DFTS
Natesh Ganesh, Neal G. Anderson