5 papers
Perturb the Thought, Not the Pixels: Latent-Space Rollout Diversification for Reinforcement Learning of Vision-Language Models
Michael Jerge, Joseph Pelczar, Justin Downes
Reinforcement learning with verifiable rewards (RLVR) improves the reasoning ability of vision-language models (VLMs), and diversifying the rollouts within each optimization group…
Conditional Inference Trees and Forests for Feature Selection
Robert Milletich, Justin Downes, Steve Goley +1
Conditional inference trees (CIT) and conditional inference forests (CIF) reduce split-selection bias by testing features before choosing split thresholds, but repeated permutation…
AutoClimDS: Climate Data Science Agentic AI -- A Knowledge Graph is All You Need
Ahmed Jaber, Wangshu Zhu, Ayon Roy +6
Climate data science remains constrained by fragmented data sources, heterogeneous formats, and steep technical expertise requirements. These barriers slow discovery, limit partici…
Evolving Networks Created by Preferential Attachment and Decay
Justin Downes
Growing synthetic networks that follow power law distributions of a node's degree often involves adding one node at a time. Each node is added to the network with a fixed amount of…
Saliency Driven Imagery Preprocessing for Efficient Compression -- Industrial Paper
Justin Downes, Sam Saltwick, Anthony Chen
The compression of satellite imagery remains an important research area as hundreds of terabytes of images are collected every day, which drives up storage and bandwidth costs. Alt…