3 papers
cs.CV2026
IRIS: A Visual Cortex-Inspired Framework for Analyzing Orientation Selectivity in Vision Transformers
Vaishnavi B Mohan, Vijayakrishna Naganoor, Yashas Annadani +1
Vision transformers (ViTs) have become the de facto standard for image encoding across many perception tasks. Despite their empirical success, it remains mechanistically unclear ho…
stat.ML2025
Causal Bayesian Optimization with Unknown Graphs
Jean Durand, Yashas Annadani, Stefan Bauer +1
Causal Bayesian Optimization (CBO) is a methodology designed to optimize an outcome variable by leveraging known causal relationships through targeted interventions. Traditional CB…
cs.LG2025
Preference-Guided Diffusion for Multi-Objective Offline Optimization
Yashas Annadani, Syrine Belakaria, Stefano Ermon +2
Offline multi-objective optimization aims to identify Pareto-optimal solutions given a dataset of designs and their objective values. In this work, we propose a preference-guided d…