Soumyasundar Pal

According to our database, Soumyasundar Pal authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

Population Monte Carlo With Normalizing Flow.

Soumyasundar Pal, Antonios Valkanas, Mark Coates

IEEE Signal Process. Lett., 2024

Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data.

Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao

CoRR, 2024

CKGConv: General Graph Convolution with Continuous Kernels.

Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multi-resolution Time-Series Transformer for Long-term Forecasting.

Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2022

Node copying: A random graph model for effective graph sampling.

Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates

Signal Process., 2022

Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks.

Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting.

Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates

Proceedings of the 38th International Conference on Machine Learning, 2021

Detection and Defense of Topological Adversarial Attacks on Graphs.

Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Non Parametric Graph Learning for Bayesian Graph Neural Networks.

Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation.

Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Invertible Particle-Flow-Based Sequential MCMC With Extension to Gaussian Mixture Noise Models.

Yunpeng Li, Soumyasundar Pal, Mark J. Coates

IEEE Trans. Signal Process., 2019

Bayesian Graph Convolutional Neural Networks using Node Copying.

Soumyasundar Pal, Florence Regol, Mark Coates

CoRR, 2019

Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning.

Soumyasundar Pal, Florence Regol, Mark J. Coates

CoRR, 2019

Scalable MCMC in Degree Corrected Stochastic Block Model.

Soumyasundar Pal, Mark Coates

Proceedings of the IEEE International Conference on Acoustics, 2019

Node Copying for Protection Against Graph Neural Network Topology Attacks.

Florence Regol, Soumyasundar Pal, Mark Coates

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Particle Flow Particle Filter using Gromov's method.

Soumyasundar Pal, Mark Coates

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification.

Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay

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

2018

Sequential MCMC With The Discrete Bouncy Particle Sampler.

Soumyasundar Pal, Mark Coates

Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Particle Flow Particle Filter for Gaussian Mixture Noise Models.

Soumyasundar Pal, Mark Coates

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Gaussian sum particle flow filter.

Soumyasundar Pal, Mark Coates

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017