John Willes

According to our database, John Willes authored at least 11 papers between 2015 and 2025.

Collaborative distances:

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

2025

The Singapore Consensus on Global AI Safety Research Priorities.

Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sanchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic

CoRR, June, 2025

Teaching LLMs How to Learn with Contextual Fine-Tuning.

Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Bayesian Optimization via Continual Variational Last Layer Training.

Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Bayesian Embeddings for Few-Shot Open World Recognition.

John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models.

Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz

CoRR, 2024

Variational Bayesian Last Layers.

James Harrison, John Willes, Jasper Snoek

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

FlexModel: A Framework for Interpretability of Distributed Large Language Models.

Matthew Choi, Muhammad Adil Asif, John Willes, David Emerson

CoRR, 2023

A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control.

Marshall Wang, John Willes, Thomas Jiralerspong, Matin Moezzi

CoRR, 2023

Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design.

AkshatKumar Nigam, Robert Pollice, Gary Tom, Kjell Jorner, John Willes, Luca A. Thiede, Anshul Kundaje, Alán Aspuru-Guzik

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InterTrack: Interaction Transformer for 3D Multi-Object Tracking.

John Willes, Cody Reading, Steven L. Waslander

Proceedings of the 20th Conference on Robots and Vision, 2023

2015

Parasitic effects of device coupling on haptic performance.

Colin R. Gallacher, John Willes, József Kövecses

Proceedings of the 2015 IEEE World Haptics Conference, 2015