| 2026 | COLT | Finite Sample Bounds for Learning with Score Matching. | Devin Smedira, Abhijith Jayakumar, Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov |
| 2025 | ICML | Optimization Proxies using Limited Labeled Data and Training Time - A Semi-Supervised Bayesian Neural Network Approach. | Parikshit Pareek, Abhijith Jayakumar, Kaarthik Sundar, Sidhant Misra, Deepjyoti Deka |
| 2024 | QCE | QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models. | Zachary Morrell, Marc Vuffray, Sidhant Misra, Carleton Coffrin |
| 2023 | QCE | General Algorithms for SPAM Noise Characterization. | Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra |
| 2021 | ICML | Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. | Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra |
| 2020 | COLT | Information Theoretic Optimal Learning of Gaussian Graphical Models. | Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov |
| 2008 | ICASSP | Optimal adaptive transmission for a cognitive radio with sensing. | Sidhant Misra, Stefan Geirhofer, Lang Tong |
| 2008 | ICASSP | Sparse measurements, compressed sampling, and DNA microarrays. | Haris Vikalo, Farzad Parvaresh, Sidhant Misra, Babak Hassibi |