| PSA-GAN: Progressive self attention GANs for synthetic time series P Jeha, M Bohlke-Schneider, P Mercado, RS Nirwan, S Kapoor, ... ICLR 2022, 2021 | 42 | 2021 |
| Emergent Chiral Spin State in the Mott Phase of a Bosonic Kane-Mele-Hubbard Model K Plekhanov, I Vasić, A Petrescu, R Nirwan, G Roux, W Hofstetter, ... Physical review letters 120 (15), 157201, 2018 | 20 | 2018 |
| Applications of Gaussian process latent variable models in finance RS Nirwan, N Bertschinger Intelligent Systems and Applications: Proceedings of the 2019 Intelligent …, 2020 | 16 | 2020 |
| Coherent probabilistic forecasting of temporal hierarchies SS Rangapuram, S Kapoor, RS Nirwan, P Mercado, T Januschowski, ... International Conference on Artificial Intelligence and Statistics, 9362-9376, 2023 | 12 | 2023 |
| Rotation Invariant Householder Parameterization for Bayesian PCA RS Nirwan, N Bertschinger Proceedings of the 36th International Conference on Machine Learning, 2019 | 11 | 2019 |
| Bayesian Quantile Matching Estimation RS Nirwan, N Bertschinger arXiv preprint arXiv:2008.06423, 2020 | 5 | 2020 |
| Adaptive Sampling for Probabilistic Forecasting under Distribution Shift L Masserano, SS Rangapuram, S Kapoor, RS Nirwan, Y Park, ... NeurIPS 2022 Workshop on Distribution Shifts: Connecting Methods and …, 2022 | 4 | 2022 |