4 papers
CausalARC: Abstract Reasoning with Causal World Models
Jacqueline Maasch, John Kalantari, Kia Khezeli
On-the-fly reasoning often requires adaptation to novel problems under limited data and distribution shift. This work introduces CausalARC: an experimental testbed for AI reasoning…
Few-Shot LoRA Adaptation of a Flow-Matching Foundation Model for Cross-Spectral Object Detection
Maxim Clouser, Kia Khezeli, John Kalantari
Foundation models for vision are predominantly trained on RGB data, while many safety-critical applications rely on non-visible modalities such as infrared (IR) and synthetic apert…
Inference-Time Scaling of Diffusion Models for Infrared Data Generation
Kai A. Horstmann, Maxim Clouser, Kia Khezeli
Infrared imagery enables temperature-based scene understanding using passive sensors, particularly under conditions of low visibility where traditional RGB imaging fails. Yet, deve…
AI-Enhanced Intensive Care Unit: Revolutionizing Patient Care with Pervasive Sensing
Subhash Nerella, Ziyuan Guan, Scott Siegel +5
The intensive care unit (ICU) is a specialized hospital space where critically ill patients receive intensive care and monitoring. Comprehensive monitoring is imperative in assessi…