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Hans Gundlach
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2020 – today
- 2026
[i7]Alexander K. Saeri, Jess Graham, Michael Noetel, Peter Slattery, Dennis Ah-King, Edla Aittokallio, Ibitola Akindehin, Abbas Al Mahdi
, Elie Alhajjar, Rafael Andersson Lipcsey, Gary Ang, Catherine M. Azam, Amos Azaria, Rishal Balkissoon, Isabel Barberá, Claudio Bareato, Jonathan Barry, Michael Basehart, Andrew M. Bean, Danny Belitz, Samantha Augusta Bennett, Kayla Blomquist, Damian Borstel, Ben Bucknall, Tomas Bueno Momcilovic, Aurelie Bugeau, Nicholas Caputo, Stephen Casper, Gulam Chagani, Ze Shen Chin, Jiyeon Cho, Jay Chooi, Joel N. Christoph, Dmytro Chumachenko, Kieran Conboy, Elizabeth M. Daly, Tom David, Paul de Font-Reaulx, Antonio De Santis, Fabrizio Degni, Christopher W. DiCarlo, Yawen Duan, Janet Egan, Ian W. Eisenberg, Sherif M. Elsafty, Adam Ennamli, Mark Esposito, Nicola Fabiano, Gallo Fall, Neil R. Fernandes, Pip Foweraker, Chiara Gallese, Sandra Galletti, Andrew Gamino-Cheong, Rokas Gipiskis, Gwyn Glasser, Delaram Golpayegani, Jeff Grayson, Hans Gundlach, Josiah Hagen, Alexander Hagenah, Amelia S. Haines, The Anh Han, Yixiong Hao, Kasii Harris, Tianxing He, Koen Holtman, Giorgos Iacovides, Kenneth L. Ingham, Krystal Jackson, Adam Jones, Himanshu Joshi, Brian Judge, Arturs Kanepajs, Shreya Kapoor, Win Myat Nwe Khine, Aidan Kierans, Aleksandra Korolova, Markus Krebsz, Nicholas Kruus, Joe Kwon, Valeria Lazzaroli, Ray X. Lee, Evelina Leivada, Stephan Lewandowsky, Michael B. Li, Xiaojian Li, Geunsik Lim, Henrique Lisakowski, Fabio Lonardoni, Todd C. Lowe, Jackson G. Lu, Alexander Lyzhov, Nada Madkour, Parv Mahajan, David Manheim, Kareem Mathias, Claudio Mayrink Verdun, Sean McGregor, et al.:
Prioritization of Risks from Artificial Intelligence: A Delphi Study of 272 International Experts. CoRR abs/2606.04490 (2026)- 2025
[c3]Frederick Mejia, Hans Gundlach, Jayson Lynch, Carl Dukatz, Andrew Lucas, Eleanor Crane, Prashant Shukla, Neil Thompson:
Introducing the Quantum Economic Advantage Online Calculator. QCE 2025: 1873-1883
[c2]Hans Gundlach, Keeper Sharkey, Jayson Lynch, Victoria Hazoglou, Kung-Chuan Hsu, Carl Dukatz, Eleanor Crane, Karin Walczyk, Marcin Bodziak, Johannes Galatsanos-Dueck, Neil Thompson:
Quantum Advantage in Computational Chemistry? QCE 2025: 2289-2299
[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)
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last updated on 2026-07-12 23:32 CEST by the dblp team
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