Boddeti, Vishnu

14 publications

ICLR 2025 CoInD: Enabling Logical Compositions in Diffusion Models Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

ICLRW 2025 Compositional World Knowledge Leads to High Utility Synthetic Data Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

ICLRW 2025 Diffusion Models Do Not Implicitly Learn Conditional Independence Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

CVPR 2025 DiverseFlow: Sample-Efficient Diverse Mode Coverage in Flows Mashrur M. Morshed, Vishnu Boddeti

TMLR 2025 Incorporating Interventional Independence Improves Robustness Against Interventional Distribution Shift Gautam Sreekumar, Vishnu Boddeti

ICLR 2025 OASIS Uncovers: High-Quality T2I Models, Same Old Stereotypes Sepehr Dehdashtian, Gautam Sreekumar, Vishnu Boddeti

NeurIPS 2025 Obliviator Reveals the Cost of Nonlinear Guardedness in Concept Erasure Ramin Akbari, Milad Afshari, Vishnu Boddeti

NeurIPS 2025 PolyJuice Makes It Real: Black-Box, Universal Red Teaming for Synthetic Image Detectors Sepehr Dehdashtian, Mashrur M. Morshed, Jacob H Seidman, Gaurav Bharaj, Vishnu Boddeti

ICLRW 2025 Spurious Correlations in Diffusion Models and How to Fix Them Sachit Gaudi, Gautam Sreekumar, Vishnu Boddeti

ICLRW 2024 Estimating Field Parameters from Multiphysics Governing Equations with Scarce Data Xuyang Li, Mahdi Masmoudi, Nizar Lajnef, Vishnu Boddeti

ICLR 2024 FairerCLIP: Debiasing CLIP's Zero-Shot Predictions Using Functions in RKHSs Sepehr Dehdashtian, Lan Wang, Vishnu Boddeti

NeurIPSW 2024 ParaFIND: Parameter Field Inference on Non-Uniform Domains Using Neural Network Mahdi Masmoudi, Xuyang Li, Nizar Lajnef, Vishnu Boddeti

NeurIPS 2023 Into the LAION’s Den: Investigating Hate in Multimodal Datasets Abeba Birhane, Vinay Prabhu, Sanghyun Han, Vishnu Boddeti, Sasha Luccioni

TMLR 2022 On Characterizing the Trade-Off in Invariant Representation Learning Bashir Sadeghi, Sepehr Dehdashtian, Vishnu Boddeti