3 papers
hep-lat2025
Efficient Learning of Lattice Gauge Theories with Fermions
Shreya Shukla, Yukari Yamauchi, Andrey Y. Lokhov +2
We introduce a learning method for recovering action parameters in lattice field theories. Our method is based on the minimization of a convex loss function constructed using the S…
cs.CL2025
qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs
Shreya Shukla, Aditya Sriram, Milinda Kuppur Narayanaswamy +1
The deployment of large language models for specialized tasks often requires domain-specific parameter-efficient finetuning through Low-Rank Adaptation (LoRA) modules. However, eff…
cond-mat.stat-mech2025
Learning of Statistical Field Theories
Shreya Shukla, Abhijith Jayakumar, Andrey Y. Lokhov
Recovering microscopic couplings directly from data provides a route to solving the inverse problem in statistical field theories, one that complements the traditional-often comput…