Austin R. Ellis-Mohr

According to our database, Austin R. Ellis-Mohr authored at least 4 papers between 2024 and 2026.

Collaborative distances:

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

2026

Energy-Aware Routing to Large Reasoning Models.

Austin R. Ellis-Mohr, Max Hartman, Lav R. Varshney

IEEE J. Sel. Areas Inf. Theory, 2026

2025

Foundation Models for Discovery and Exploration in Chemical Space.

Alexius Wadell, Anoushka Bhutani, Victor Azumah, Austin R. Ellis-Mohr, Celia Kelly, Hancheng Zhao, Anuj K. Nayak, Kareem Hegazy, Alexander Brace, Hongyi Lin, Murali Emani, Venkatram Vishwanath, Kevin Gering, Melisa Alkan, Tom Gibbs, Jack C. Wells, Lav R. Varshney, Bharath Ramsundar, Karthik Duraisamy, Michael W. Mahoney, Arvind Ramanathan, Venkatasubramanian Viswanathan

CoRR, October, 2025

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search.

Austin R. Ellis-Mohr, Anuj K. Nayak, Lav R. Varshney

CoRR, July, 2025

2024

Directed Information Flow in Computing Systems with Living Neurons.

Austin R. Ellis-Mohr, Lav R. Varshney

Proceedings of the IEEE International Symposium on Information Theory, 2024