Coates, Mark

39 publications

ICLR 2026 A Balanced Neuro-Symbolic Approach for Commonsense Abductive Logic Joseph Cotnareanu, Didier Chételat, Yingxue Zhang, Mark Coates

TMLR 2026 Extracting and Following Paths for Robust Relational Reasoning with Large Language Models Ge Zhang, Mohammad Ali Alomrani, Hongjian Gu, Jiaming Zhou, Yaochen Hu, Bin Wang, Qun Liu, Mark Coates, Yingxue Zhang, Jianye Hao

ICLR 2026 One Demo Is All It Takes: Planning Domain Derivation with LLMs from a Single Demonstration Jinbang Huang, Yixin Xiao, Zhanguang Zhang, Mark Coates, Jianye Hao, Yingxue Zhang

NeurIPS 2025 C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning Antonios Valkanas, Soumyasundar Pal, Pavel Rumiantsev, Yingxue Zhang, Mark Coates

AISTATS 2025 InnerThoughts: Disentangling Representations and Predictions in Large Language Models Didier Chételat, Joseph Cotnareanu, Rylee Thompson, Yingxue Zhang, Mark Coates

NeurIPS 2025 Is the Acquisition Worth the Cost? Surrogate Losses for Consistent Two-Stage Classifiers Florence Regol, Joseph Cotnareanu, Theodore Glavas, Mark Coates

AISTATS 2025 MODL: Multilearner Online Deep Learning Antonios Valkanas, Boris N. Oreshkin, Mark Coates

TMLR 2025 Personalized Negative Reservoir for Incremental Learning in Recommender Systems Antonios Valkanas, Yuening Wang, Yingxue Zhang, Mark Coates

ICLRW 2025 Refining Answer Distributions for Improved Large Language Model Reasoning Soumyasundar Pal, Didier Chételat, Yingxue Zhang, Mark Coates

ICML 2025 SKOLR: Structured Koopman Operator Linear RNN for Time-Series Forecasting Yitian Zhang, Liheng Ma, Antonios Valkanas, Boris N. Oreshkin, Mark Coates

TMLR 2025 Sparse Decomposition of Graph Neural Networks Yaochen Hu, Mai Zeng, Ge Zhang, Pavel Rumiantsev, Liheng Ma, Yingxue Zhang, Mark Coates

TMLR 2025 Variation Matters: From Mitigating to Embracing Zero-Shot NAS Ranking Function Variation Pavel Rumiantsev, Mark Coates

ICML 2025 When to Retrain a Machine Learning Model Florence Regol, Leo Schwinn, Kyle Sprague, Mark Coates, Thomas Markovich

ICML 2024 CKGConv: General Graph Convolution with Continuous Kernels Liheng Ma, Soumyasundar Pal, Yitian Zhang, Jiaming Zhou, Yingxue Zhang, Mark Coates

AISTATS 2024 Categorical Generative Model Evaluation via Synthetic Distribution Coarsening Florence Regol, Mark Coates

TMLR 2024 DyG2Vec: Efficient Representation Learning for Dynamic Graphs Mohammad Alomrani, Mahdi Biparva, Yingxue Zhang, Mark Coates

TMLR 2024 Graph Knowledge Distillation to Mixture of Experts Pavel Rumiantsev, Mark Coates

NeurIPS 2024 HardCore Generation: Generating Hard UNSAT Problems for Data Augmentation Joseph Cotnareanu, Zhanguang Zhang, Hui-Ling Zhen, Yingxue Zhang, Mark Coates

ICML 2024 Interacting Diffusion Processes for Event Sequence Forecasting Mai Zeng, Florence Regol, Mark Coates

ICLR 2024 Jointly-Learned Exit and Inference for a Dynamic Neural Network Florence Regol, Joud Chataoui, Mark Coates

AISTATS 2024 Multi-Resolution Time-Series Transformer for Long-Term Forecasting Yitian Zhang, Liheng Ma, Soumyasundar Pal, Yingxue Zhang, Mark Coates

ICML 2023 Bidirectional Learning for Offline Model-Based Biological Sequence Design Can Chen, Yingxue Zhang, Xue Liu, Mark Coates

AAAI 2023 Diffusing Gaussian Mixtures for Generating Categorical Data Florence Regol, Mark Coates

ICML 2023 Graph Inductive Biases in Transformers Without Message Passing Liheng Ma, Chen Lin, Derek Lim, Adriana Romero-Soriano, Puneet K. Dokania, Mark Coates, Philip Torr, Ser-Nam Lim

AAAI 2023 Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng

NeurIPS 2023 Neural Graph Generation from Graph Statistics Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte

AISTATS 2023 Spectral Augmentations for Graph Contrastive Learning Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates

AAAI 2023 Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma, Jianye Hao, Mark Coates

CoLLAs 2023 Substituting Data Annotation with Balanced Neighbourhoods and Collective Loss in Multi-Label Text Classification Muberra Ozmen, Joseph Cotnareanu, Mark Coates

AAAI 2022 Bag Graph: Multiple Instance Learning Using Bayesian Graph Neural Networks Soumyasundar Pal, Antonios Valkanas, Florence Regol, Mark Coates

NeurIPS 2022 Bidirectional Learning for Offline Infinite-Width Model-Based Optimization Can Chen, Yingxueff Zhang, Jie Fu, Xue Liu, Mark Coates

AISTATS 2021 Detection and Defense of Topological Adversarial Attacks on Graphs Yingxue Zhang, Florence Regol, Soumyasundar Pal, Sakif Khan, Liheng Ma, Mark Coates

AAAI 2021 FC-GAGA: Fully Connected Gated Graph Architecture for Spatio-Temporal Traffic Forecasting Boris N. Oreshkin, Arezou Amini, Lucy Coyle, Mark Coates

AAAI 2021 Knowledge-Enhanced Top-K Recommendation in Poincaré Ball Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

ICML 2021 RNN with Particle Flow for Probabilistic Spatio-Temporal Forecasting Soumyasundar Pal, Liheng Ma, Yingxue Zhang, Mark Coates

ICML 2020 Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol, Soumyasundar Pal, Yingxue Zhang, Mark Coates

AAAI 2020 Memory Augmented Graph Neural Networks for Sequential Recommendation Chen Ma, Liheng Ma, Yingxue Zhang, Jianing Sun, Xue Liu, Mark Coates

UAI 2020 Non Parametric Graph Learning for Bayesian Graph Neural Networks Soumyasundar Pal, Saber Malekmohammadi, Florence Regol, Yingxue Zhang, Yishi Xu, Mark Coates

AAAI 2019 Bayesian Graph Convolutional Neural Networks for Semi-Supervised Classification Yingxue Zhang, Soumyasundar Pal, Mark Coates, Deniz Üstebay