Sparse and Robust Reject Option Classifier using Successive Linear Programming. - Kulin Shah; Naresh Manwani (CoRR, 2018)

Sparse Reject Option Classifier Using Successive Linear Programming. - Kulin Shah; Naresh Manwani (AAAI, 2019)

Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. - Bakhtiyar Syed; Vijayasaradhi Indurthi; Kulin Shah; Manish Gupta 001; Vasudeva Varma (AffCon@AAAI, 2019)

PLUME: Polyhedral Learning Using Mixture of Experts. - Kulin Shah; P. S. Sastry 001; Naresh Manwani (CoRR, 2019)

Online Active Learning of Reject Option Classifiers. - Kulin Shah; Naresh Manwani (AAAI, 2020)

Rawlsian Fair Adaptation of Deep Learning Classifiers. - Kulin Shah; Pooja Gupta; Amit Deshpande 001; Chiranjib Bhattacharyya (AIES, 2021)

RISAN: Robust instance specific deep abstention network. - Bhavya Kalra; Kulin Shah; Naresh Manwani (UAI, 2021)

RISAN: Robust Instance Specific Abstention Network. - Bhavya Kalra; Kulin Shah; Naresh Manwani (CoRR, 2021)

Learning and Generalization in Overparameterized Normalizing Flows. - Kulin Shah; Amit Deshpande 001; Navin Goyal (AISTATS, 2022)

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

Learning Mixtures of Gaussians Using the DDPM Objective. - Kulin Shah; Sitan Chen; Adam R. Klivans (NeurIPS, 2023)

Simple Mechanisms for Representing, Indexing and Manipulating Concepts. - Yuanzhi Li; Raghu Meka; Rina Panigrahy; Kulin Shah (CoRR, 2023)

Unrolled denoising networks provably learn to perform optimal Bayesian inference. - Aayush Karan; Kulin Shah; Sitan Chen; Yonina C. Eldar (NeurIPS, 2024)

Causal language modeling can elicit search and reasoning capabilities on logic puzzles. - Kulin Shah; Nishanth Dikkala; Xin Wang; Rina Panigrahy (NeurIPS, 2024)

Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles. - Kulin Shah; Nishanth Dikkala; Xin Wang 016; Rina Panigrahy (CoRR, 2024)

Unrolled denoising networks provably learn optimal Bayesian inference. - Aayush Karan; Kulin Shah; Sitan Chen; Yonina C. Eldar (CoRR, 2024)

Learning general Gaussian mixtures with efficient score matching. - Sitan Chen; Vasilis Kontonis; Kulin Shah (COLT, 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 (CoRR, 2025)

Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion. - Kulin Shah; Alkis Kalavasis; Adam R. Klivans; Giannis Daras (CoRR, 2025)

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems. - Aayush Karan; Kulin Shah; Sitan Chen (CoRR, 2025)