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Coates, Mark

  1. Bayesian graph convolutional neural networks for semi-supervised classification
    2018/11/27 by Yingxue Zhang, Soumyasundar Pal, Zhang, Yingxue +5 · 10 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  2. Multi-resolution Time-Series Transformer for Long-term Forecasting
    2023/11/07 by Yitian Zhang, Zhang, Yitian, Liheng Ma +7 · 15 citations
    Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Time Series Analysis and Forecasting
  3. Jointly-Learned Exit and Inference for a Dynamic Neural Network : JEI-DNN
    2023/10/13 by Florence Regol, Joud Chataoui, Regol, Florence +3 · 6 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Neural Networks and Applications
  4. Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems
    2023/05/02 by Yuening Wang, Wang, Yuening, Yingxue Zhang +11 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning in Healthcare #Recommender Systems and Techniques
  5. Multi-Graph Convolution Collaborative Filtering
    2020/01/01 by Jianing Sun, Yingxue Zhang, Sun, Jianing +11 · 3 citations
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Caching and Content Delivery
  6. Memory Augmented Graph Neural Networks for Sequential Recommendation
    2019/12/26 by Chen Ma, Ma, Chen, Liheng Ma +9 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  7. Spectral Augmentations for Graph Contrastive Learning
    2023/02/06 by Amur Ghose, Ghose, Amur, Yingxue Zhang +5 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Generalizable Cross-Graph Embedding for GNN-based Congestion Prediction
    2021/11/10 by Amur Ghose, Vincent Zhang, Ghose, Amur +9 · 3 citations
    Engineering · Materials Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Low-power high-performance VLSI design #Machine Learning (cs.LG) #Machine Learning in Materials Science
  9. Interacting Diffusion Processes for Event Sequence Forecasting
    2023/10/26 by Mai Zeng, Zeng, Mai, Florence Regol +3 · 4 citations
    Computer Science · #Time Series Analysis and Forecasting
  10. Bidirectional Learning for Offline Infinite-width Model-based Optimization
    2022/09/15 by Can, Chen, Can, Yingxue Zhang +6 · 3 citations
    Computer Science · Materials Science · #Advanced Neural Network Applications #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning and Data Classification #Machine Learning in Materials Science #and Science (cs.CE)
  11. Probabilistic Metric Learning with Adaptive Margin for Top-K Recommendation
    2021/01/13 by Chen Ma, Liheng Ma, Ma, Chen +9 · 2 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Advanced Bandit Algorithms Research
  12. RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting
    2021/06/10 by Soumyasundar Pal, Pal, Soumyasundar, Liheng Ma +5 · 2 citations
    Environmental Science · Engineering · Computer Science · #Air Quality Monitoring and Forecasting #Traffic Prediction and Management Techniques #Time Series Analysis and Forecasting
  13. TIE: A Framework for Embedding-based Incremental Temporal Knowledge Graph Completion
    2021/04/17 by Jiapeng Wu, Wu, Jiapeng, Yishi Xu +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Domain Adaptation and Few-Shot Learning
  14. Bag Graph: Multiple Instance Learning using Bayesian Graph Neural Networks
    2022/02/22 by Pal, Soumyasundar, Valkanas, Antonios, Regol, Florence +1 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  15. DyG2Vec: Efficient Representation Learning for Dynamic Graphs
    2022/10/30 by Mohammad Ali Alomrani, Mahdi Biparva, Alomrani, Mohammad Ali +5 · 2 citations
    Computer Science · Psychology · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mental Health via Writing #Recommender Systems and Techniques #Social and Information Networks (cs.SI)
  16. Reasoning on a Budget: A Survey of Adaptive and Controllable Test-Time Compute in LLMs
    2025/07/02 by Alomrani, Mohammad Ali, Zhang, Yingxue, Li, Derek +14 · 7 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Non-Parametric Graph Learning for Bayesian Graph Neural Networks
    2020/06/23 by Soumyasundar Pal, Pal, Soumyasundar, Saber Malekmohammadi +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Enhancing Logical Reasoning in Large Language Models through Graph-based Synthetic Data
    2024/09/19 by Jiaming Zhou, Abbas Ghaddar, Zhou, Jiaming +17 · 4 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  19. Learning Gaussian Graphical Models with Ordered Weighted L1\n Regularization
    2019/06/06 by Cody Mazza-Anthony, Bogdan Mazoure, Mazza-Anthony, Cody +3 · 1 citation
    Computer Science · Mathematics · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
  20. Refining Answer Distributions for Improved Large Language Model Reasoning
    2024/12/17 by Soumyasundar Pal, Pal, Soumyasundar, Didier Chételat +5 · 4 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  21. Differentially private and decentralized randomized power method
    2024/11/04 by Nicolas, Julien, César Sabater, Sabater, César +6 · 4 citations
    Computer Science · Mathematics · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Privacy-Preserving Technologies in Data #Random Matrices and Applications #Stochastic Gradient Optimization Techniques
  22. Diffusing Gaussian Mixtures for Generating Categorical Data
    2023/03/08 by Florence Regol, Regol, Florence, Mark Coates +1 · 1 citation
    Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Music and Audio Processing
  23. Bidirectional Learning for Offline Model-based Biological Sequence Design
    2023/01/07 by Chen, Can, Zhang, Yingxue, Liu, Xue +1 · 1 citation
    #Computational Engineering #FOS: Computer and information sciences #Finance #and Science (cs.CE)
  24. GraphSeam: Supervised Graph Learning Framework for Semantic UV Mapping
    2020/11/27 by Teimury, Fatemeh, Roy, Bruno, Casallas, Juan Sebastián +2 · 1 citation
    #FOS: Computer and information sciences #Graphics (cs.GR)
  25. Bayesian Graph Convolutional Neural Networks using Node Copying
    2019/11/08 by Soumyasundar Pal, Pal, Soumyasundar, Florence Regol +3 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  26. CKGConv: General Graph Convolution with Continuous Kernels
    2024/04/21 by Liheng Ma, Soumyasundar Pal, Ma, Liheng +9 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  27. GraSS: Combining Graph Neural Networks with Expert Knowledge for SAT Solver Selection
    2024/05/17 by Zhanguang Zhang, Didier Chételat, Zhang, Zhanguang +17 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques #Software Engineering Research #Software Engineering Techniques and Practices
  28. Dynamic layer selection in decoder-only transformers
    2024/10/26 by Theodore Glavas, Joud Chataoui, Glavas, Theodore +11 · 2 citations
    Engineering · Computer Science · #Induction Heating and Inverter Technology #Advanced Data Compression Techniques #Neural Networks and Applications
  29. Omni-Thinker: Scaling Multi-Task RL in LLMs with Hybrid Reward and Task Scheduling
    2025/07/20 by Danrui Li, Jiaming Zhou, Li, Derek +18 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Cloud Computing and Resource Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Real-Time Systems Scheduling #Scheduling and Optimization Algorithms
  30. MODL: Multilearner Online Deep Learning
    2024/05/28 by Antonios Valkanas, Valkanas, Antonios, Boris N. Oreshkin +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Online Learning and Analytics
  31. Path-of-Thoughts: Extracting and Following Paths for Robust Relational Reasoning with Large Language Models
    2024/12/23 by Zhang, Ge, Alomrani, Mohammad Ali, Gu, Hongjian +7 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  32. Plain Transformers Can be Powerful Graph Learners
    2025/04/17 by Ma, Liheng, Pal, Soumyasundar, Zhang, Yingxue +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  33. C3PO: Optimized Large Language Model Cascades with Probabilistic Cost Constraints for Reasoning
    2025/11/10 by Antonios Valkanas, Valkanas, Antonios, Soumyasundar Pal +7 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications