5 papers · 1 filter
Does Text Steer Neural PDE Surrogates? A Controlled Diagnostic with OperatorCLIP
Aadi Dash, Lennon J. Shikhman, Michael Galarnyk
Lower error from a text-conditioned neural surrogate does not, by itself, show that the model uses the meaning of the text. We examine this attribution problem with OperatorCLIP, c…
CARDINAL Predicts Cardiovascular Risk From Non-contrast Cardiac CT
Roy Gabriel, Nattakorn Kittisut, Jamshid Hassanpour +6
Cardiovascular risk prediction remains limited by incomplete clinical data and imaging biomarkers that reduce computed tomography (CT) to a small number of handcrafted features. We…
Inverse Learning of Latent Risk-Neutral Densities from Irregular Option Quotes
Lennon J. Shikhman, Michael Galarnyk, Aadi Dash +1
Accurate option prices do not imply accurate recovery of the latent risk-neutral density. We study this distinction with two complementary benchmarks. A controlled benchmark expose…
IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents
Michael Galarnyk, Siddharth Lohani, Vidhyakshaya Kannan +8
An Initial Public Offering (IPO) filing is a document released when a private firm goes public, allowing individual (retail) investors to purchase its shares. These filings describ…
Evolutionary Task Discovery: Advancing Reasoning Frontiers via Skill Composition and Complexity Scaling
Liqin Ye, Yanbin Yin, Michael Galarnyk +3
The reasoning frontier of Large Language Models (LLMs) has advanced significantly through modern post-training paradigms (e.g., Reinforcement Learning from Verifiable Rewards (RLVR…