7 papers
Field Aware Agent Skill Retrieval
Paimon Goulart, Liang Wu, Kelly Wan +2
As lifelong learning agents accumulate lifelong growing skill banks, retrieving the correct skill becomes an increasingly important bottleneck. Most current skill retrieval methods…
Multi-modal Rail Crossing Safety Analysis
Paimon Goulart, Chansong Lim, NÃcolas Roque dos Santos +4
Given one or more images of a railway crossing, can we leverage visual cues that allow us to robustly estimate how safe it is? Can we improve our ability to do so by introducing st…
Transforming Behavioral Neuroscience Discovery with In-Context Learning and AI-Enhanced Tensor Methods
Paimon Goulart, Jordan Steinhauser, Dawon Ahn +4
Scientific discovery pipelines typically involve complex, rigid, and time-consuming processes, from data preparation to analyzing and interpreting findings. Recent advances in AI h…
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…