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2020 – today
- 2025
[i6]Hans Gundlach, Jayson Lynch, Neil Thompson:
Meek Models Shall Inherit the Earth. CoRR abs/2507.07931 (2025)- [i5]Hans Gundlach, Hrvoje Kukina, Jayson Lynch, Neil Thompson:
Quantum Deep Learning Still Needs a Quantum Leap. CoRR abs/2511.01253 (2025) - [i4]Hans Gundlach, Alex Fogelson, Jayson Lynch, Ana Trisovic, Jonathan Rosenfeld, Anmol Sandhu, Neil C. Thompson:
On the Origin of Algorithmic Progress in AI. CoRR abs/2511.21622 (2025) - [i3]Hans Gundlach, Jayson Lynch, Matthias Mertens, Neil Thompson:
The Price of Progress: Algorithmic Efficiency and the Falling Cost of AI Inference. CoRR abs/2511.23455 (2025) - 2024
- [i2]Andrew Gritsevskiy, Arjun Panickssery, Aaron Kirtland, Derik Kauffman, Hans Gundlach, Irina Gritsevskaya, Joe Cavanagh, Jonathan Chiang, Lydia La Roux, Michelle Hung:
REBUS: A Robust Evaluation Benchmark of Understanding Symbols. CoRR abs/2401.05604 (2024) - 2021
- [c1]Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov:
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. MSML 2021: 1044-1081 - 2020
- [i1]Jiahao Yao, Paul Köttering, Hans Gundlach, Lin Lin, Marin Bukov
:
Noise-Robust End-to-End Quantum Control using Deep Autoregressive Policy Networks. CoRR abs/2012.06701 (2020)
Coauthor Index
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