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2020 – today
- 2025
[i8]Kate A. Richardson, Sokratis Trifinopoulos, Mike Williams:
The DNA of nuclear models: How AI predicts nuclear masses. CoRR abs/2508.08370 (2025)- [i7]Andrew Ferguson, Marisa Lafleur, Lars Ruthotto, Jesse Thaler, Yuan-Sen Ting, Pratyush Tiwary, Soledad Villar, E. Paulo Alves, Jeremy Avigad, Simon Billinge, Camille L. Bilodeau, Keith Brown, Emmanuel J. Candès, Arghya Chattopadhyay, Bingqing Cheng, Jonathan Clausen, Connor W. Coley, Andrew J. Connolly, Fred Daum, Sijia Dong, Chrisy Xiyu Du, Cora Dvorkin, Cristiano Fanelli, Eric B. Ford, Luis Manuel Frutos, Nicolás García Trillos, Cecilia Garraffo, Robert Ghrist, Rafael Gómez-Bombarelli, Gianluca Guadagni, Sreelekha Guggilam, Sergei Gukov, Juan B. Gutiérrez
, Salman Habib, Johannes Hachmann, Boris Hanin, Philip C. Harris, Murray Holland, Elizabeth Holm, Hsin-Yuan Huang, Shih-Chieh Hsu, Nick Jackson, Olexandr Isayev, Heng Ji, Aggelos K. Katsaggelos, Jeremy Kepner, Yannis G. Kevrekidis, Michelle P. Kuchera, J. Nathan Kutz, Branislava Lalic, Ann Lee, Matt LeBlanc, Josiah Lim, Rebecca Lindsey, Yongmin Liu, Peter Y. Lu, Sudhir Malik, Vuk Mandic, Vidya B. Manian, Emeka P. Mazi, Pankaj Mehta, Peter Melchior, Brice Ménard, Jennifer Ngadiuba, Stella Offner, Elsa Olivetti, Shyue Ping Ong, Christopher Rackauckas, Philippe Rigollet, Chad Risko, Philip Romero, Grant M. Rotskoff, Brett Savoie, Uros Seljak, David Shih, Gary Shiu, Dima Shlyakhtenko, Eva Silverstein, Taylor Sparks, Thomas Strohmer, Christopher Stubbs, Stephen Thomas, Suriyanarayanan Vaikuntanathan, René Vidal, Francisco Villaescusa-Navarro, Gregory Voth, Benjamin Wandelt, Rachel Ward, Melanie Weber, Risa Wechsler, Stephen Whitelam, Olaf Wiest, Mike Williams, Zhuoran Yang, Yaroslava G. Yingling, Bin Yu, Shuwen Yue, Ann Zabludoff, Huimin Zhao, Tong Zhang:
The Future of Artificial Intelligence and the Mathematical and Physical Sciences (AI+MPS). CoRR abs/2509.02661 (2025) - 2024
- [j6]Jesse Thaler, Mike Williams, Marisa Lafleur:
Institute for Artificial Intelligence and Fundamental Interactions (IAIFI): Infusing physics intelligence into artificial intelligence. AI Mag. 45(1): 111-116 (2024) - [c7]Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz, Sokratis Trifinopoulos, Mike Williams:
From Neurons to Neutrons: A Case Study in Interpretability. ICML 2024 - [i6]Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz, Sokratis Trifinopoulos, Mike Williams:
From Neurons to Neutrons: A Case Study in Interpretability. CoRR abs/2405.17425 (2024) - 2023
- [j5]Ouail Kitouni, Niklas Nolte, Mike Williams:
Robust and provably monotonic networks. Mach. Learn. Sci. Technol. 4(3): 35020 (2023) - [c6]Niklas Nolte, Ouail Kitouni, Mike Williams:
Expressive Monotonic Neural Networks. ICLR 2023 - [i5]Ouail Kitouni, Niklas Nolte, Sokratis Trifinopoulos, Subhash Kantamneni, Mike Williams:
NuCLR: Nuclear Co-Learned Representations. CoRR abs/2306.06099 (2023) - 2022
- [j4]Roel Aaij, Marta Adinolfi, Salvatore Aiola, S. Akar, Johannes Albrecht, M. Alexander, S. Amato, Yasmine Amhis, F. Archilli, M. Bala, G. Bassi, L. Bian, M. P. Blago, Thomas Boettcher, Alexey Boldyrev, S. Borghi, A. Brea Rodriguez, Lukas Calefice, M. Calvo Gomez, Daniel Hugo Cámpora Pérez, A. Cardini, Marco Cattaneo, V. Chobanova, G. Ciezarek, Xabier Cid Vidal, J. L. Cobbledick, J. A. B. Coelho, Tommaso Colombo, A. Contu, Benjamin Couturier, Daniel C. Craik, R. Currie, P. d'Argent, Michel De Cian, Denis Derkach, F. Dordei, Marco Dorigo, Laurent Dufour, Paolo Durante, A. Dziurda, A. Dzyuba, S. Easo, S. Esen, Placido Fernandez Declara, Sergey Filippov, Conor Fitzpatrick, M. Frank, Paolo Gandini, Vladimir V. Gligorov, Elisabet Golobardes, G. Graziani, L. Grillo, P. A. Günther, S. Hansmann-Menzemer, Arthur M. Hennequin, Louis Henry, D. Hill, S. E. Hollitt, J. Hu, W. Hulsbergen, R. J. Hunter, Mikhail Hushchyn, Brij Kishor Jashal, Christopher Robert Jones, S. Klaver, Konrad Klimaszewski, R. Kopecna, Wojciech Krzemien, Marcin Kucharczyk, R. Lane, Federico Lazzari, R. Le Gac, P. Li, J. H. Lopes, M. Lucio Martinez, Anna Lupato, Oliver Lupton, X. Lyu, F. Machefert, Olga Madejczyk, S. Malde, J. F. Marchand, Saverio Mariani, Carla Marin Benito, D. Martinez Santos, F. Martinez Vidal, Rosen Matev, Michal Mazurek, Biljana Mitreska, Dominik Stefan Mitzel, Michael Joseph Morello, H. Mu, P. Muzzetto, P. Naik, Matthew D. Needham, N. Neri, Niko Neufeld, N. S. Nolte, Daniel O'Hanlon, A. Oyanguren Campos, M. Pepe Altarelli, S. Petrucci, Marco Petruzzo, L. Pica, Flavio Pisani, A. Piucci, Francesco Polci, A. Poluektov, E. Polycarpo, C. Prouve, Giovanni Punzi, Renato Quagliani, R. I. Rabadan Trejo, Miguel Ramos Pernas, M. S. Rangel, Fedor Ratnikov, Gerhard Raven, F. Reiss, V. Renaudin, P. Robbe, Artem Ryzhikov, Marco Santimaria, M. Saur, Manuel T. Schiller, Rainer Schwemmer, Barbara Sciascia, A. Solomin, F. Suljik, Nicola Skidmore, Michael D. Sokoloff, P. Spradlin, M. Stahl, S. Stahl, Holger Stevens, L. Sun, A. Szabelski, Tomasz Szumlak, M. Szymanski, D. Y. Tou, Giulia Tuci, Andrii Usachov, Núria Valls Canudas, R. Vazquez Gomez, Stefania Vecchi, Mika Vesterinen, Xavier Vilasís-Cardona, Dorothea Vom Bruch, Z. Wang, Tomasz Wojton, Mark Whitehead, Mike Williams, Mariusz Witek, Y. Xie, A. Xu, H. Yin, Milosz Zdybal, O. Zenaiev, D. Zhang, L. Zhang, X. Zhu, The LHCb Collaboration:
A Comparison of CPU and GPU Implementations for the LHCb Experiment Run 3 Trigger. Comput. Softw. Big Sci. 6(1) (2022) - [c5]Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams:
Towards Understanding Grokking: An Effective Theory of Representation Learning. NeurIPS 2022 - [i4]Ziming Liu, Ouail Kitouni, Niklas Nolte, Eric J. Michaud, Max Tegmark, Mike Williams:
Towards Understanding Grokking: An Effective Theory of Representation Learning. CoRR abs/2205.10343 (2022) - [i3]Ouail Kitouni, Niklas Nolte, Mike Williams:
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance. CoRR abs/2209.15624 (2022) - 2021
- [i2]Ouail Kitouni, Niklas Nolte, Mike Williams:
Robust and Provably Monotonic Networks. CoRR abs/2112.00038 (2021) - 2020
- [j3]Roel Aaij, Johannes Albrecht, M. Belous, Pierre Billoir, Thomas Boettcher, A. Brea Rodriguez, Dorothea Vom Bruch, Daniel Hugo Cámpora Pérez, A. Casais Vidal, Daniel C. Craik, Placido Fernandez Declara, Lars Funke, Vladimir V. Gligorov, Brij Kishor Jashal, N. Kazeev, D. Martinez Santos, Flavio Pisani, D. Pliushchenko, S. Popov, Renato Quagliani, M. S. Rangel, F. Reiss, C. Sánchez Mayordomo, Rainer Schwemmer, Mike Sokoloff, Holger Stevens, Andrey Ustyuzhanin, Xavier Vilasís-Cardona, Mike Williams:
Allen: A High-Level Trigger on GPUs for LHCb. Comput. Softw. Big Sci. 4(1) (2020)
2010 – 2019
- 2019
- [i1]Yun Seong Nam, Jwo-Sy Chen, Neal C. Pisenti, Kenneth Wright, Conor Delaney, Dmitri Maslov, Kenneth R. Brown, Stewart Allen, Jason M. Amini, Joel Apisdorf, Kristin M. Beck, Aleksey Blinov, Vandiver Chaplin, Mika Chmielewski, Coleman Collins, Shantanu Debnath, Andrew M. Ducore, Kai M. Hudek, Matthew J. Keesan, Sarah M. Kreikemeier, Jonathan Mizrahi, Phil Solomon, Mike Williams, Jaime David Wong-Campos, Christopher R. Monroe, Jungsang Kim:
Ground-state energy estimation of the water molecule on a trapped ion quantum computer. CoRR abs/1902.10171 (2019) - 2018
- [j2]Alexander Radovic, Mike Williams, David Rousseau, Michael Kagan, Daniele Bonacorsi, Alexander Himmel, Adam Aurisano, Kazuhiro Terao, Taritree Wongjirad:
Machine learning at the energy and intensity frontiers of particle physics. Nat. 560(7716): 41-48 (2018) - 2013
- [c4]Siân Miller, Yogesh Kumar Dwivedi, Mike Williams:
A social capital dimensional approach to Business-IT alignment. UKAIS 2013: 25 - 2010
- [j1]Mike Williams:
Introduction to languages and machines by Alan P. Parkes, publisher: Springer 2008. SIGACT News 41(2): 37-40 (2010)
2000 – 2009
- 2007
- [c3]Vishanth Weerakkody, Yogesh Kumar Dwivedi, Mike Williams, Laurence D. Brooks, Anthony Mwange:
E-government Implementation in Zambia: Contributing Factors. AMCIS 2007: 323
1990 – 1999
- 1993
- [b1]Joe Armstrong, Robert Virding, Mike Williams:
Concurrent programming in ERLANG. Prentice Hall 1993, ISBN 978-0-13-285792-5, pp. I-XI, 1-281
1980 – 1989
- 1987
- [c2]Robert Neches, John Seely Brown, Norman K. Sondheimer, Thomas W. Malone, Mike Williams:
Intelligence in interfaces (panel). CHI 1987: 267-269 - 1986
- [c1]Thomas Kaczmarek, Robert Neches, John Seely Brown, Phil Hayes, Thomas W. Malone, Dic Waters, Robert Wilensky, Mike Williams:
Panel: Where Should the Intelligence in Intelligent Interfaces be Placed? AAAI 1986: 1151
Coauthor Index
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last updated on 2025-12-12 23:08 CET by the dblp team
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