2 citations · 2 across the 1 of their papers we have counts for
5 papers
Foundation Models for Discovery and Exploration in Chemical Space
Alexius Wadell, Anoushka Bhutani, Victor Azumah +26
Accurate prediction of atomistic, thermodynamic, and kinetic properties from molecular structures underpins materials innovation. Existing computational and experimental approaches…
Characterizing Quantum Error Correction Performance of Radiation-induced Errors
Paul G. Baity, Anuj K. Nayak, Lav R. Varshney +4
Radiation impacts are a current challenge with computing on superconducting-based quantum devices because they can lead to widespread correlated errors across the device. Such erro…
Iterative Decoding of Stabilizer Codes under Radiation-Induced Correlated Noise
Anuj K. Nayak, Paul G. Baity, Peter J. Love +4
Fault-tolerant quantum computation demands extremely low logical error rates, yet superconducting qubit arrays are subject to radiation-induced correlated noise arising from cosmic…
A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search
Austin R. Ellis-Mohr, Anuj K. Nayak, Lav R. Varshney
Large language models (LLMs) demand considerable computational, energy, and financial resources during both training and deployment. While scaling laws for training have guided muc…
An Information Theory of Compute-Optimal Size Scaling, Emergence, and Plateaus in Language Models
Anuj K. Nayak, Lav R. Varshney
Recent empirical studies show three phenomena with increasing size of language models: compute-optimal size scaling, emergent capabilities, and performance plateauing. We present a…