12 papers
LiBaGS: Lightweight Boundary Gap Synthesis for Targeted Synthetic Data Selection
Abhishek Moturu, Anna Goldenberg, Babak Taati
Synthetic data is useful only when the added samples fill missing parts of the training distribution that matter for the downstream task. We introduce LiBaGS, a lightweight, genera…
GEAR: Genetic AutoResearch for Agentic Code Evolution
Ahmadreza Jeddi, Minh Ngoc Le, Hakki C. Karaimer +2
Autonomous research agents can already run machine learning experiments without human supervision, but many rely on a narrow search strategy: they repeatedly modify one program and…
PuzzleCraft: Exploration-Aware Curriculum Learning for Puzzle-Based RLVR in VLMs
Ahmadreza Jeddi, Hakki Can Karaimer, Hue Nguyen +8
RL post-training with verifiable rewards (RLVR) has become a practical route to eliciting chain-of-thought reasoning in vision--language models (VLMs), but scaling it in the visual…
Pain in 3D: Generating Controllable Synthetic Faces for Automated Pain Assessment
Xin Lei Lin, Soroush Mehraban, Abhishek Moturu +1
Automated pain assessment from facial expressions is crucial for non-communicative patient. Progress has been limited by two challenges: (i) existing datasets exhibit severe demogr…
Leveraging Clinical Text and Class Conditioning for 3D Prostate MRI Generation
Emerson P. Grabke, Babak Taati, Masoom A. Haider
Objective: Latent diffusion models (LDM) could alleviate data scarcity challenges affecting machine learning development for medical imaging. However, medical LDM strategies typica…
GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain
Vida Adeli, Soroush Mehraban, Majid Mirmehdi +6
Gait analysis is crucial for the diagnosis and monitoring of movement disorders like Parkinson's Disease. While computer vision models have shown potential for objectively evaluati…