| 2025 | COLT | Learning general Gaussian mixtures with efficient score matching. | Sitan Chen, Vasilis Kontonis, Kulin Shah |
| 2025 | ICML | 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 |
| 2025 | ICML | Does Generation Require Memorization? Creative Diffusion Models using Ambient Diffusion. | Kulin Shah, Alkis Kalavasis, Adam R. Klivans, Giannis Daras |
| 2022 | AISTATS | Learning and Generalization in Overparameterized Normalizing Flows. | Kulin Shah, Amit Deshpande, Navin Goyal |
| 2021 | AIES | Rawlsian Fair Adaptation of Deep Learning Classifiers. | Kulin Shah, Pooja Gupta, Amit Deshpande, Chiranjib Bhattacharyya |
| 2021 | UAI | RISAN: Robust instance specific deep abstention network. | Bhavya Kalra, Kulin Shah, Naresh Manwani |
| 2020 | AAAI | Online Active Learning of Reject Option Classifiers. | Kulin Shah, Naresh Manwani |
| 2019 | AAAI | Sparse Reject Option Classifier Using Successive Linear Programming. | Kulin Shah, Naresh Manwani |
| 2019 | AAAI | Ingredients for Happiness: Modeling constructs via semi-supervised content driven inductive transfer. | Bakhtiyar Syed, Vijayasaradhi Indurthi, Kulin Shah, Manish Gupta, Vasudeva Varma |