Accounting for the Sequential Nature of States to Learn Features for Reinforcement Learning. - Nathan Michlo; Devon Jarvis; Richard Klein; Steven James 001 (CoRR, 2022)

Skill Machines: Temporal Logic Composition in Reinforcement Learning. - Geraud Nangue Tasse; Devon Jarvis; Steven James 001; Benjamin Rosman (CoRR, 2022)

On The Specialization of Neural Modules. - Devon Jarvis; Richard Klein; Benjamin Rosman; Andrew M. Saxe (ICLR, 2023)

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies. - Michael Beukman; Devon Jarvis; Richard Klein; Steven James 001; Benjamin Rosman (NeurIPS, 2023)

Skill Machines: Temporal Logic Skill Composition in Reinforcement Learning. - Geraud Nangue Tasse; Devon Jarvis; Steven James 001; Benjamin Rosman (ICLR, 2024)

Investigating the Impact of Language-Adaptive Fine-Tuning on Sentiment Analysis in Hausa Language Using AfriBERTa. - Sani Abdullahi Sani; Shamsuddeen Hassan Muhammad; Devon Jarvis (COLING Workshops, 2025)

Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks. - Devon Jarvis; Richard Klein; Benjamin Rosman; Andrew M. Saxe (ICLR, 2025)

A Theory of Initialisation's Impact on Specialisation. - Devon Jarvis; Sebastian Lee; Clémentine Carla Juliette Dominé; Andrew M. Saxe; Stefano Sarao Mannelli (ICLR, 2025)

Revisiting the Role of Relearning in Semantic Dementia. - Devon Jarvis; Verena Klar; Richard Klein; Benjamin Rosman; Andrew M. Saxe (CoRR, 2025)