Shah, Kulin

12 publications

ICML 2025 Does Generation Require Memorization? Creative Diffusion Models Using Ambient Diffusion Kulin Shah, Alkis Kalavasis, Adam Klivans, Giannis Daras

COLT 2025 Learning General Gaussian Mixtures with Efficient Score Matching Sitan Chen, Vasilis Kontonis, Kulin Shah

ICML 2025 Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions Jaeyeon Kim, Kulin Shah, Vasilis Kontonis, Sham M. Kakade, Sitan Chen

ICLRW 2025 Train for the Worst, Plan for the Best: Understanding Token Ordering in Masked Diffusions Jaeyeon Kim, Kulin Shah, Vasilis Kontonis, Sham M. Kakade, Sitan Chen

NeurIPS 2024 Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy

NeurIPS 2024 Unrolled Denoising Networks Provably Learn to Perform Optimal Bayesian Inference Aayush Karan, Kulin Shah, Sitan Chen, Yonina C. Eldar

NeurIPS 2023 Ambient Diffusion: Learning Clean Distributions from Corrupted Data Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam Klivans

NeurIPS 2023 Learning Mixtures of Gaussians Using the DDPM Objective Kulin Shah, Sitan Chen, Adam Klivans

AISTATS 2022 Learning and Generalization in Overparameterized Normalizing Flows Kulin Shah, Amit Deshpande, Navin Goyal

UAI 2021 RISAN: Robust Instance Specific Deep Abstention Network Bhavya Kalra, Kulin Shah, Naresh Manwani

AAAI 2020 Online Active Learning of Reject Option Classifiers Kulin Shah, Naresh Manwani

AAAI 2019 Sparse Reject Option Classifier Using Successive Linear Programming Kulin Shah, Naresh Manwani