| 2024 | AISTATS | Multi-resolution Time-Series Transformer for Long-term Forecasting. | Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates |
| 2024 | ICML | CKGConv: General Graph Convolution with Continuous Kernels. | Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates |
| 2022 | AAAI | Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. | Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates |
| 2021 | AISTATS | Detection and Defense of Topological Adversarial Attacks on Graphs. | Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates |
| 2021 | ICML | RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. | Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates |
| 2020 | ICML | Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. | Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates |
| 2020 | UAI | Non Parametric Graph Learning for Bayesian Graph Neural Networks. | Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates |
| 2019 | AAAI | Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. | Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz stebay |
| 2019 | ICASSP | Scalable MCMC in Degree Corrected Stochastic Block Model. | Soumyasundar Pal, Mark Coates |
| 2018 | ICASSP | Particle Flow Particle Filter for Gaussian Mixture Noise Models. | Soumyasundar Pal, Mark Coates |