Soumyasundar Pal

35 papers A* 5A 3Misc 2Journal 21Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning. CoRR Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev, Yingxue Zhang, Mark Coates
2025	J	`jnl`	FEval-TTC: Fair Evaluation Protocol for Test-Time Compute. CoRR Pavel Rumiantsev, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2025	J	`jnl`	GraphPPD: Posterior Predictive Modelling for Graph-Level Inference. CoRR Soumyasundar Pal, Liheng Ma, Amine Natik, Yingxue Zhang, Mark Coates
2025	J	`jnl`	Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs. CoRR Mohammad Ali Alomrani, Yingxue Zhang, Derek Li, Qianyi Sun, Soumyasundar Pal, Zhanguang Zhang, Yaochen Hu, Rohan Deepak Ajwani, Antonios Valkanas, Raika Karimi, Peng Cheng, Yunzhou Wang, Pengyi Liao, Hanrui Huang, Bin Wang, Jianye Hao, Mark Coates
2025	J	`jnl`	Simplifying Graph Transformers. CoRR Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Philip H. S. Torr, Mark Coates
2024	A*	`conf`	CKGConv: General Graph Convolution with Continuous Kernels. ICML Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
2024	J	`jnl`	CKGConv: General Graph Convolution with Continuous Kernels. CoRR Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data. CoRR Jiaming Zhou, Abbas Ghaddar, Ge Zhang, Liheng Ma, Yaochen Hu, Soumyasundar Pal, Mark Coates, Bin Wang, Yingxue Zhang, Jianye Hao
2024	J	`jnl`	Hint Marginalization for Improved Reasoning in Large Language Models. CoRR Soumyasundar Pal, Didier Chételat, Yingxue Zhang, Mark Coates
2024	A	`conf`	Multi-resolution Time-Series Transformer for Long-term Forecasting. AISTATS Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2024	J	`jnl`	Population Monte Carlo With Normalizing Flow. IEEE Signal Process. Lett. Soumyasundar Pal, Antonios Valkanas, Mark Coates
2023	J	`jnl`	Multi-resolution Time-Series Transformer for Long-term Forecasting. CoRR Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2022	A*	`conf`	Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks. AAAI Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022	J	`jnl`	Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks. CoRR Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates
2022	J	`jnl`	Node Copying: A Random Graph Model for Effective Graph Sampling. CoRR Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
2022	J	`jnl`	Node copying: A random graph model for effective graph sampling. Signal Process. Florence Regol, Soumyasundar Pal, Jianing Sun, Yingxue Zhang, Yanhui Geng, Mark Coates
2021	A	`conf`	Detection and Defense of Topological Adversarial Attacks on Graphs. AISTATS Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates
2021	A*	`conf`	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. ICML Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
2021	J	`jnl`	RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting. CoRR Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates
2020	A*	`conf`	Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. ICML Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2020	J	`jnl`	Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation. CoRR Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates
2020	J	`jnl`	Node Copying for Protection Against Graph Neural Network Topology Attacks. CoRR Florence Regol, Soumyasundar Pal, Mark Coates
2020	A	`conf`	Non Parametric Graph Learning for Bayesian Graph Neural Networks. UAI Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
2020	J	`jnl`	Non-Parametric Graph Learning for Bayesian Graph Neural Networks. CoRR Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates
2019	J	`jnl`	Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning. CoRR Soumyasundar Pal, Florence Regol, Mark J. Coates
2019	A*	`conf`	Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification. AAAI Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
2019	J	`jnl`	Bayesian Graph Convolutional Neural Networks using Node Copying. CoRR Soumyasundar Pal, Florence Regol, Mark Coates
2019	J	`jnl`	Invertible Particle-Flow-Based Sequential MCMC With Extension to Gaussian Mixture Noise Models. IEEE Trans. Signal Process. Yunpeng Li, Soumyasundar Pal, Mark J. Coates
2019	—	`conf`	Node Copying for Protection Against Graph Neural Network Topology Attacks. CAMSAP Florence Regol, Soumyasundar Pal, Mark Coates
2019	—	`conf`	Particle Flow Particle Filter using Gromov's method. CAMSAP Soumyasundar Pal, Mark Coates
2019	Misc	`conf`	Scalable MCMC in Degree Corrected Stochastic Block Model. ICASSP Soumyasundar Pal, Mark Coates
2018	J	`jnl`	Bayesian graph convolutional neural networks for semi-supervised classification. CoRR Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay
2018	Misc	`conf`	Particle Flow Particle Filter for Gaussian Mixture Noise Models. ICASSP Soumyasundar Pal, Mark Coates
2018	—	`conf`	Sequential MCMC With The Discrete Bouncy Particle Sampler. SSP Soumyasundar Pal, Mark Coates
2017	—	`conf`	Gaussian sum particle flow filter. CAMSAP Soumyasundar Pal, Mark Coates