William R. Clements

According to our database, William R. Clements authored at least 10 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Photonic Quantum-Enhanced Knowledge Distillation.

Kuan-Cheng Chen, Shang Yu, Chen-Yu Liu, Samuel Yen-Chi Chen, Huan-Hsin Tseng, Yen Jui Chang, Wei-Hao Huang, Felix Burt, Esperanza Cuenca Gomez, Zohim Chandani, William R. Clements, Ian A. Walmsley, Kin K. Leung

CoRR, March, 2026

2025

Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing.

Rajiv Kailasanathan, William R. Clements, Mohammad Reza Boskabadi, Shawn M. Gibford, Emmanouil Papadakis, Christopher J. Savoie, Seyed Soheil Mansouri

CoRR, August, 2025

Quantum latent distributions in deep generative models.

Omar Bacarreza, Thorin Farnsworth, Alexander Makarovskiy, Hugo Wallner, Tessa Hicks, Santiago Sempere-Llagostera, John Price, Robert J. A. Francis-Jones, William R. Clements

CoRR, August, 2025

Hybrid Classical-Quantum Supercomputing: A demonstration of a multi-user, multi-QPU and multi-GPU environment.

Mateusz Slysz, Piotr Rydlichowski, Krzysztof Kurowski, Omar Bacarreza, Esperanza Cuenca Gomez, Zohim Chandani, Bettina Heim, Pradnya Khalate, William R. Clements, James Fletcher

CoRR, August, 2025

Boundaries for quantum advantage with single photons and loop-based time-bin interferometers.

Samo Novák, David D. Roberts, Alexander Makarovskiy, Raúl García-Patrón, William R. Clements

Quantum, 2025

2020

Learning Group Structure and Disentangled Representations of Dynamical Environments.

Robin Quessard, Thomas D. Barrett, William R. Clements

CoRR, 2020

Learning Disentangled Representations and Group Structure of Dynamical Environments.

Robin Quessard, Thomas D. Barrett, William R. Clements

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exploratory Combinatorial Optimization with Reinforcement Learning.

Thomas D. Barrett, William R. Clements, Jakob N. Foerster, A. I. Lvovsky

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Domain Randomization for Reinforcement Learning.

Reda Bahi Slaoui, William R. Clements, Jakob N. Foerster, Sébastien Toth

CoRR, 2019

Estimating Risk and Uncertainty in Deep Reinforcement Learning.

William R. Clements, Benoît-Marie Robaglia, Bastien Van Delft, Reda Bahi Slaoui, Sébastien Toth

CoRR, 2019