4 papers
A Preliminary Agentic Framework for Matrix Deflation
Paimon Goulart, Evangelos E. Papalexakis
Can a small team of agents peel a matrix apart, one rank-1 slice at a time? We propose an agentic approach to matrix deflation in which a solver Large Language Model (LLM) generate…
Preliminary Use of Vision Language Model Driven Extraction of Mouse Behavior Towards Understanding Fear Expression
Paimon Goulart, Jordan Steinhauser, Kylene Shuler +3
Integration of diverse data will be a pivotal step towards improving scientific explorations in many disciplines. This work establishes a vision-language model (VLM) that encodes v…
Efficiently Generating Multidimensional Calorimeter Data with Tensor Decomposition Parameterization
Paimon Goulart, Shaan Pakala, Evangelos Papalexakis
Producing large complex simulation datasets can often be a time and resource consuming task. Especially when these experiments are very expensive, it is becoming more reasonable to…
Can a Large Language Model Learn Matrix Functions In Context?
Paimon Goulart, Evangelos E. Papalexakis
Large Language Models (LLMs) have demonstrated the ability to solve complex tasks through In-Context Learning (ICL), where models learn from a few input-output pairs without explic…