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| 2025 | Implet: A Post-Hoc Subsequence Explainer for Time Series Models. | Fanyu Meng, Ziwen Kan, Shahbaz Rezaei, Zhaodan Kong, Xin Chen, Xin Liu |
| 2025 | Deep Gaussian Fusion Network for Traffic Prediction. | Andrew Meng, Zhiqian Chen |
| 2025 | Inside CORE-KG: Evaluating Structured Prompting and Coreference Resolution for Knowledge Graphs. | Dipak Meher, Carlotta Domeniconi |
| 2025 | Scalable Multilingual PII Annotation for Responsible AI in LLMs. | Bharti Meena, Joanna Skubisz, Harshit Rajgarhia, Nand Dave, Kiran Ganesh, Shivali Dalmia, Abhishek Mukherji, Vasudevan Sundarababu, Olga Pospelova |
| 2025 | CGLE: Class-Label Graph Link Estimator for Link Prediction. | Ankit Mazumder, Srikanta Bedathur |
| 2025 | Automated Indicator Mining and Forecast-Ready Feature Engineering via LLMs: Application in Colocation Data Center Supply Chains. | Pegah Mavaie, Neda Zarayeneh, Ravigopal Vennelakanti |
| 2025 | DualEx: Dual-Space Clustering for Regional Explanations. | Pernille Matthews, Tommaso Amico, Arthur Zimek, Ira Assent |
| 2025 | Multimodal Learning with Intermediate Fusion for Enhanced Arrhythmia Classification. | Melissa Matteo, Mahjabeen Tamanna Abed, Xinghui Zhao |
| 2025 | Learning from Two-Sample-Averaged Data. | Ryuta Matsuno, Akira Kitaoka |
| 2025 | Can Small Quantized VLMs Drive? An Experimental Evaluation of Small Quantized VLMs for Autonomous Driving. | Samson Mathew, Zonghua Gu |
| 2025 | A Theoretical Framework for Self-Supervised Contrastive Learning for Continuous Dependent Data. | Alexander Marusov, Aleksandr Yugay, Alexey Zaytsev |
| 2025 | Enhancing On-Chip Learning for RRAM Devices Through Evolutionary Theories. | Mellanie Martin, Abdi Yamil Vicenciodelmoral, Xinghui Zhao |
| 2025 | Azzurra: A Proof-of-Concept Avatar to Smoothly Interact with the Encyclopedia of Italian Cuisine. | Virgilio Maretto, Simone Cargiani, Francesca Antonazzi, Mitia Mambella, Antonio Giampaolo, Maria Ferraro, Stefania Ruggeri |
| 2025 | Hypergraph Representation Learning with Adaptive Broadcasting and Receiving. | Tianyi Ma, Yiyue Qian, Zheyuan Zhang, Zehong Wang, Shinan Zhang, Chuxu Zhang, Yanfang Ye |
| 2025 | DETECT: Data-Driven Evaluation of Treatments Enabled by Classification Transformers. | Yuanheng Mao, Lillian Yang, Stephen Yang, Ethan Shao, Zihan Li |
| 2025 | Contragen: a Multi-Agent Generation Framework for Enterprise Contradictions Detection. | Ananya Mantravadi, Shivali Dalmia, Abhishek Mukherji, Nand Dave, Anudha Mittal |
| 2025 | Autoregressive Surrogate Modeling of the Solar Wind with Spherical Fourier Neural Operator. | Reza Mansouri, Dustin J. Kempton, Pete Riley, Rafal A. Angryk |
| 2025 | Beyond Benchmarks: Interpretable Aspect-Based Sentiment Analysis for Actionable Insights from Customer Reviews. | Roberto Mansilla, Weiyao Meng, Gregor Milligan, Sam Smith |
| 2025 | Bayesian Modeling for Uncertainty Management in Financial Risk Forecasting and Compliance. | Sharif Al Mamun, Rakib Hossain, Md. Jobayer Rahman, Malay Kumar Devnath, Farhana Afroz, Lisan Al Amin |
| 2025 | PromptEG: Scalable Prompt-Based Temporal Generalization on Evolving Graphs. | Tingyan Ma, Bin Lu, Ze Zhao, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2025 | A Stochastic Diffusion Framework for Tabular Data Synthesis and Completion. | Ivan P. Malashin, Igor S. Masich, Dmitry Martysyuk, Andrei P. Gantimurov, Aleksey S. Borodulin, Vladimir A. Nelyub, Vadim Tynchenko |
| 2025 | DELTA: Variational Disentangled Learning for Privacy-Preserving Data Reprogramming. | Arun Vignesh Malarkkan, Haoyue Bai, Anjali Kaushik, Yanjie Fu |
| 2025 | Generative AI for FFRDCs. | Arun S. Maiya |
| 2025 | Linear Programming Based Approximation to Individually Fair k-Clustering with Outliers. | Binita Maity, Shrutimoy Das, Anirban Dasgupta |