Ayush Roy

3 papers · 2026–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver ❓ The Questioner

Venues

CVPR (1) EACL (1) MIDL (1)

Top co-authors

Vishnu Suresh Lokhande (2) Wei-Yang Alex Lee (1) Meera Bharadwaj (1) Aparna Garimella (1) Ishani Mondal (1) Samin Enam (1) Rudrasis Chakraborty (1) Jordan Lee Boyd-Graber (1) Jun Xia (1) Won Hwa Kim (1)

Research topics

Machine Learning (3) Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Healthcare & Medicine (1) Application Areas (1) Clinical (1) Core AI (1) Core Methods (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1) Processing (1)

Keywords

causal inference (1) preference optimization (1) image editing (1) hierarchical clustering (1) medical image segmentation (1) feature representation (1) distribution shift (1) diffusion model (1) dataset distillation (1) structural integrity (1) data pooling (1) multi-agent system (1) latent manifold (1) reward-guided refinement (1) manifold guidance (1)

Papers

Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation? MIDL 2026 ManifoldGD: Training-Free Hierarchical Manifold Guidance for Diffusion-Based Dataset Distillation CVPR 2026 SMART-Editor: A Multi-Agent Framework for Human-Like Design Editing with Structural Integrity EACL 2026