Clyde Fare

According to our database, Clyde Fare authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions.

Yuri Alexeev, Maximilian Amsler, Marco Antonio Barroca, Sanzio Bassini, Torey Battelle, Daan Camps, David Casanova, Young Jay Choi, Frederic T. Chong, Charles Chung, Christopher Codella, Antonio D. Córcoles, James Cruise, Alberto Di Meglio, Ivan Duran, Thomas Eckl, Sophia E. Economou, Stephan J. Eidenbenz, Bruce Elmegreen, Clyde Fare, Ismael Faro, Cristina Sanz Fernández, Rodrigo Neumann Barros Ferreira, Keisuke Fuji, Bryce Fuller, Laura Gagliardi, Giulia Galli, Jennifer R. Glick, Isacco Gobbi, Pranav Gokhale, Salvador de la Puente Gonzalez, Johannes Greiner, Bill Gropp, Michele Grossi, Emanuel Gull, Burns Healy, Matthew R. Hermes, Benchen Huang, Travis S. Humble, Nobuyasu Ito, Artur F. Izmaylov, Ali Javadi-Abhari, Douglas M. Jennewein, Shantenu Jha, Liang Jiang, Barbara Jones, Wibe Albert de Jong, Petar Jurcevic, William M. Kirby, Stefan Kister, Masahiro Kitagawa, Joel Klassen, Katherine Klymko, Kwangwon Koh, Masaaki Kondo, Doga Murat Kürkçüoglu, Krzysztof Kurowski, Teodoro Laino, Ryan Landfield, Matthew L. Leininger, Vicente Leyton-Ortega, Ang Li, Meifeng Lin, Junyu Liu, Nicolás Lorente, André Luckow, Simon Martiel, Francisco Martín-Fernández, Margaret Martonosi, Claire Marvinney, Arcesio Castañeda Medina, Dirk Merten, Antonio Mezzacapo, Kristel Michielsen, Abhishek Mitra, Tushar Mittal, Kyungsun Moon, Joel Moore, Sarah Mostame, Mario Motta, Young-Hye Na, Yunseong Nam, Prineha Narang, Yu-ya Ohnishi, Daniele Ottaviani, Matthew Otten, Scott Pakin, Vincent R. Pascuzzi, Edwin Pednault, Tomasz Piontek, Jed Pitera, Patrick Rall, Gokul Subramanian Ravi, Niall Robertson, Matteo A. C. Rossi, Piotr Rydlichowski, Hoon Ryu, Georgy Samsonidze, Mitsuhisa Sato, Nishant Saurabh, Vidushi Sharma, Kunal Sharma, Soyoung Shin, George Slessman, Mathias Steiner, Iskandar Sitdikov, In-Saeng Suh, Eric D. Switzer, Wei Tang, Joel Thompson, Synge Todo, Minh C. Tran, Dimitar Trenev, Christian Trott, Huan-Hsin Tseng, Norm M. Tubman, Esin Tureci, David García Valiñas, Sofia Vallecorsa, Christopher Wever, Konrad Wojciechowski, Xiaodi Wu, Shinjae Yoo, Nobuyuki Yoshioka, Victor Wen-zhe Yu, Seiji Yunoki, Sergiy Zhuk, Dmitry Zubarev

Future Gener. Comput. Syst., 2024

An adaptive approach to Bayesian Optimization with switching costs.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

CoRR, 2024

An Adaptive Approach to Bayesian Optimization with Setup Switching Costs.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024

Bayesian Optimization with Setup Switching Cost.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

MANDREL: Modular Reinforcement Learning Pipelines for Material Discovery.

Clyde Fare, George K. Holt, Lamogha Chiazor, Michail Smyrnakis, Robert Tracey, Lan Hoang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

A Principled Method for the Creation of Synthetic Multi-fidelity Data Sets.

Clyde Fare, Peter Fenner, Edward O. Pyzer-Knapp

CoRR, 2022

Expensive optimization with production-graph resource constraints: a first look at a new problem class.

Stefan Pricopie, Richard Allmendinger, Manuel López-Ibáñez, Clyde Fare, Matt Benatan, Joshua D. Knowles

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Boston, Massachusetts, USA, July 9, 2022

2020

Modelling Mobile Signal Strength by Combining Geospatial Big Data and Artificial Intelligence.

Paolo Fraccaro, Matt Benatan, Katharina Reusch, Clyde Fare, Blair Edwards, Edward Pyzer-Knapp

Proceedings of the ICVISP 2020: 4th International Conference on Vision, 2020

2018

Powerful, transferable representations for molecules through intelligent task selection in deep multitask networks.

Clyde Fare, Lukas Turcani, Edward O. Pyzer-Knapp

CoRR, 2018

2017

PyLDM - An open source package for lifetime density analysis of time-resolved spectroscopic data.

Gabriel F. Dorlhiac, Clyde Fare, Jasper J. van Thor

PLoS Comput. Biol., 2017