John Willes

16 papers A* 4Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Bayesian Optimization via Continual Variational Last Layer Training.
ICLR
Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison
2025 A* conf
Teaching LLMs How to Learn with Contextual Fine-Tuning.
ICLR
Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan
2025 J jnl
Teaching LLMs How to Learn with Contextual Fine-Tuning.
CoRR
Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan
2025 J jnl
The Singapore Consensus on Global AI Safety Research Priorities.
CoRR
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 Sánchez-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
2024 J jnl
Bayesian Embeddings for Few-Shot Open World Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven L. Waslander
2024 J jnl
Bayesian Optimization via Continual Variational Last Layer Training.
CoRR
Paul Brunzema, Mikkel Jordahn, John Willes, Sebastian Trimpe, Jasper Snoek, James Harrison
2024 J jnl
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models.
CoRR
Raeid Saqur, Anastasis Kratsios, Florian Krach, Yannick Limmer, Jacob-Junqi Tian, John Willes, Blanka Horvath, Frank Rudzicz
2024 A* conf
Variational Bayesian Last Layers.
ICLR
James Harrison, John Willes, Jasper Snoek
2024 J jnl
Variational Bayesian Last Layers.
CoRR
James Harrison, John Willes, Jasper Snoek
2023 J jnl
A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control.
CoRR
Marshall Wang, John Willes, Thomas Jiralerspong, Matin Moezzi
2023 J jnl
FlexModel: A Framework for Interpretability of Distributed Large Language Models.
CoRR
Matthew Choi, Muhammad Adil Asif, John Willes, David Emerson
2023 — conf
InterTrack: Interaction Transformer for 3D Multi-Object Tracking.
CRV
John Willes, Cody Reading, Steven L. Waslander
2023 A* conf
Tartarus: A Benchmarking Platform for Realistic And Practical Inverse Molecular Design.
NeurIPS
AkshatKumar Nigam, Robert Pollice, Gary Tom, Kjell Jorner, John Willes, Luca A. Thiede, Anshul Kundaje, Alán Aspuru-Guzik
2022 J jnl
InterTrack: Interaction Transformer for 3D Multi-Object Tracking.
CoRR
John Willes, Cody Reading, Steven L. Waslander
2021 J jnl
Bayesian Embeddings for Few-Shot Open World Recognition.
CoRR
John Willes, James Harrison, Ali Harakeh, Chelsea Finn, Marco Pavone, Steven Lake Waslander
2015 — conf
Parasitic effects of device coupling on haptic performance.
World Haptics
Colin R. Gallacher, John Willes, József Kövecses