Kulin Shah

According to our database, Kulin Shah authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

ReGuidance: A Simple Diffusion Wrapper for Boosting Sample Quality on Hard Inverse Problems.

Aayush Karan, Kulin Shah, Sitan Chen

CoRR, June, 2025

Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion.

Kulin Shah, Alkis Kalavasis, Adam R. Klivans, Giannis Daras

CoRR, February, 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, February, 2025

Learning general Gaussian mixtures with efficient score matching.

Sitan Chen, Vasilis Kontonis, Kulin Shah

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

Unrolled denoising networks provably learn optimal Bayesian inference.

Aayush Karan, Kulin Shah, Sitan Chen, Yonina C. Eldar

CoRR, 2024

Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles.

Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy

CoRR, 2024

Causal language modeling can elicit search and reasoning capabilities on logic puzzles.

Kulin Shah, Nishanth Dikkala, Xin Wang, Rina Panigrahy

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Unrolled denoising networks provably learn to perform optimal Bayesian inference.

Aayush Karan, Kulin Shah, Sitan Chen, Yonina C. Eldar

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Simple Mechanisms for Representing, Indexing and Manipulating Concepts.

Yuanzhi Li, Raghu Meka, Rina Panigrahy, Kulin Shah

CoRR, 2023

Learning Mixtures of Gaussians Using the DDPM Objective.

Kulin Shah, Sitan Chen, Adam R. Klivans

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Ambient Diffusion: Learning Clean Distributions from Corrupted Data.

Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis, Adam R. Klivans

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Learning and Generalization in Overparameterized Normalizing Flows.

Kulin Shah, Amit Deshpande, Navin Goyal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

RISAN: Robust Instance Specific Abstention Network.

Bhavya Kalra, Kulin Shah, Naresh Manwani

CoRR, 2021

RISAN: Robust instance specific deep abstention network.

Bhavya Kalra, Kulin Shah, Naresh Manwani

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Rawlsian Fair Adaptation of Deep Learning Classifiers.

Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Online Active Learning of Reject Option Classifiers.

Kulin Shah, Naresh Manwani

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

PLUME: Polyhedral Learning Using Mixture of Experts.

Kulin Shah, P. S. Sastry, Naresh Manwani

CoRR, 2019

Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer.

Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma

Proceedings of the 2nd Workshop on Affective Content Analysis (AffCon 2019) co-located with Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), 2019

Sparse Reject Option Classifier Using Successive Linear Programming.

Kulin Shah, Naresh Manwani

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Sparse and Robust Reject Option Classifier using Successive Linear Programming.

Kulin Shah, Naresh Manwani

CoRR, 2018