Parasitic effects of device coupling on haptic performance. - Colin R. Gallacher; John Willes; József Kövecses (World Haptics, 2015)

InterTrack: Interaction Transformer for 3D Multi-Object Tracking. - John Willes; Cody Reading; Steven L. Waslander (CRV, 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 (NeurIPS, 2023)

A Comparison of Classical and Deep Reinforcement Learning Methods for HVAC Control. - Marshall Wang; John Willes; Thomas Jiralerspong; Matin Moezzi (CoRR, 2023)

FlexModel: A Framework for Interpretability of Distributed Large Language Models. - Matthew Choi; Muhammad Adil Asif; John Willes; David Emerson (CoRR, 2023)

Variational Bayesian Last Layers. - James Harrison; John Willes; Jasper Snoek (ICLR, 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)

Bayesian Embeddings for Few-Shot Open World Recognition. - John Willes; James Harrison; Ali Harakeh; Chelsea Finn; Marco Pavone 001; Steven L. Waslander (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Bayesian Optimization via Continual Variational Last Layer Training. - Paul Brunzema; Mikkel Jordahn; John Willes; Sebastian Trimpe; Jasper Snoek; James Harrison (ICLR, 2025)

Teaching LLMs How to Learn with Contextual Fine-Tuning. - Younwoo Choi; Muhammad Adil Asif; Ziwen Han; John Willes; Rahul G. Krishnan (ICLR, 2025)

The Singapore Consensus on Global AI Safety Research Priorities. - Yoshua Bengio; Tegan Maharaj; Luke Ong; Stuart Russell 001; Dawn Song; Max Tegmark; Lan Xue; Ya-Qin Zhang; Stephen Casper; Wan Sie Lee; Sören Mindermann; Vanessa Wilfred; et al. (CoRR, 2025)