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575,626 papers

Bures-Wasserstein Flow Matching for Graph Generation

Keyue Jiang, Jiahao Cui, Xiaowen Dong, Laura Toni

2025-06-16Drug DiscoveryGraph Generation
Paper
Safe Domains of Attraction for Discrete-Time Nonlinear Systems: Characterization and Verifiable Neural Network Estimation

Mohamed Serry, Haoyu Li, Ruikun Zhou, huan zhang, Jun Liu et al.

2025-06-16
PaperCode
Toward Explainable Offline RL: Analyzing Representations in Intrinsically Motivated Decision Transformers

Leonardo Guiducci, Antonio Rizzo, Giovanna Maria Dimitri

2025-06-16Decision Making Under UncertaintyOffline RLDecision Making
Paper
How Does LLM Reasoning Work for Code? A Survey and a Call to Action

Ira Ceka, Saurabh Pujar, Irene Manotas, Gail Kaiser, Baishakhi Ray et al.

2025-06-16Code Generation
Paper
Few-Shot Learning for Industrial Time Series: A Comparative Analysis Using the Example of Screw-Fastening Process Monitoring

Xinyuan Tu, Haocheng Zhang, Tao Chengxu, Zuyi Chen

2025-06-16Few-Shot LearningBenchmarkingMeta-Learning+2
Paper
Enhancing interpretability of rule-based classifiers through feature graphs

Christel Sirocchi, Damiano Verda

2025-06-16DiagnosticFeature Importance
PaperCode
Beyond Shapley Values: Cooperative Games for the Interpretation of Machine Learning Models

Marouane Il Idrissi, Agathe Fernandes Machado, Arthur Charpentier

2025-06-16
Paper
StaQ it! Growing neural networks for Policy Mirror Descent

Alena Shilova, Alex Davey, Brahim Driss, Riad Akrour

2025-06-16Reinforcement Learning
Paper
Sustainable Machine Learning Retraining: Optimizing Energy Efficiency Without Compromising Accuracy

Lorena Poenaru-Olaru, June Sallou, Luis Cruz, Jan Rellermeyer, Arie van Deursen et al.

2025-06-16
PaperCode
Robustness of Reinforcement Learning-Based Traffic Signal Control under Incidents: A Comparative Study

Dang Viet Anh Nguyen, Carlos Lima Azevedo, Tomer Toledo, Filipe Rodrigues

2025-06-16Benchmarking
Paper
Evolvable Conditional Diffusion

Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu et al.

2025-06-16DenoisingDescriptive
Paper
Quantifying Structure in CLIP Embeddings: A Statistical Framework for Concept Interpretation

Jitian Zhao, Chenghui Li, Frederic Sala, Karl Rohe

2025-06-16
Paper
Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Martin Klissarov, Akhil Bagaria, Ziyan Luo, George Konidaris, Doina Precup et al.

2025-06-16Hierarchical Reinforcement LearningReinforcement Learningreinforcement-learning
Paper
ProfiLLM: An LLM-Based Framework for Implicit Profiling of Chatbot Users

Shahaf David, Yair Meidan, Ido Hersko, Daniel Varnovitzky, Dudu Mimran et al.

2025-06-16ChatbotLarge Language Model
Paper
Integrating Knowledge Graphs and Bayesian Networks: A Hybrid Approach for Explainable Disease Risk Prediction

Mbithe Nzomo, Deshendran Moodley

2025-06-16Knowledge GraphsPrediction
Paper
Evaluating Explainability: A Framework for Systematic Assessment and Reporting of Explainable AI Features

Miguel A. Lago, Ghada Zamzmi, Brandon Eich, Jana G. Delfino

2025-06-16
Paper
LocationReasoner: Evaluating LLMs on Real-World Site Selection Reasoning

Miho Koda, Yu Zheng, Ruixian Ma, Mingyang Sun, Devesh Pansare et al.

2025-06-16Mathematical Problem-SolvingCode Generation
PaperCode
Prefix-Tuning+: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention

Haonan Wang, Brian Chen, Siquan Li, Xinhe Liang, Hwee Kuan Lee et al.

2025-06-16parameter-efficient fine-tuning
Paper
ROSAQ: Rotation-based Saliency-Aware Weight Quantization for Efficiently Compressing Large Language Models

Junho Yoon, Geom Lee, Donghyeon Jeon, Inho Kang, Seung-Hoon Na et al.

2025-06-16Quantization
Paper
Enhancing Goal-oriented Proactive Dialogue Systems via Consistency Reflection and Correction

Didi Zhang, Yaxin Fan, Peifeng Li, Qiaoming Zhu

2025-06-16
PaperCode
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