3 papers
cs.CV2026
CAB: Accelerating Flow and Diffusion Sampling via Rectification and Corrected Adams-Bashforth
Anuska Roy, Pravin Nair
Flow and diffusion models achieve high-fidelity, high-resolution image synthesis, but often require many function evaluations (NFEs) at sampling time. Existing acceleration methods…
cs.AI2025
Detecting Silent Failures in Multi-Agentic AI Trajectories
Divya Pathak, Harshit Kumar, Anuska Roy +3
Multi-Agentic AI systems, powered by large language models (LLMs), are inherently non-deterministic and prone to silent failures such as drift, cycles, and missing details in outpu…
cs.CV2025
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
Debarshi Brahma, Anuska Roy, Soma Biswas
Recently, Vision-Language foundation models like CLIP and ALIGN, which are pre-trained on large-scale data have shown remarkable zero-shot generalization to diverse datasets with d…