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575,626 papers

Efficient Federated Learning with Encrypted Data Sharing for Data-Heterogeneous Edge Devices

Hangyu Li, Hongyue Wu, Guodong Fan, Zhen Zhang, Shizhan Chen et al.

2025-06-25Federated Learning
Paper
Lost in Retraining: Roaming the Parameter Space of Exponential Families Under Closed-Loop Learning

Fariba Jangjoo, Matteo Marsili, Yasser Roudi

2025-06-25
Paper
H-FEX: A Symbolic Learning Method for Hamiltonian Systems

Jasen Lai, Senwei Liang, Chunmei Wang

2025-06-25Symbolic Regression
Paper
The kernel of graph indices for vector search

Mariano Tepper, Ted Willke

2025-06-25
PaperCode
Exploring Graph-Transformer Out-of-Distribution Generalization Abilities

Itay Niv, Neta Rabin

2025-06-25Domain GeneralizationGraph LearningRecommendation Systems+1
Paper
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series

Laura Boggia, Rafael Teixeira de Lima, Bogdan Malaescu

2025-06-25BenchmarkingAnomaly DetectionTime Series Anomaly Detection+1
PaperCode
Demonstration of effective UCB-based routing in skill-based queues on real-world data

Sanne van Kempen, Jaron Sanders, Fiona Sloothaak, Maarten G. Wolf

2025-06-25Fairness
Paper
Physics-Informed Machine Learning Regulated by Finite Element Analysis for Simulation Acceleration of Laser Powder Bed Fusion

R. Sharma, M. Raissi, Y. B. Guo

2025-06-25Transfer LearningPhysics-informed machine learning
Paper
WallStreetFeds: Client-Specific Tokens as Investment Vehicles in Federated Learning

Arno Geimer, Beltran Fiz Pontiveros, Radu State

2025-06-25Federated Learning
Paper
Collaborative Batch Size Optimization for Federated Learning

Arno Geimer, Karthick Panner Selvam, Beltran Fiz Pontiveros

2025-06-25Federated Learning
Paper
Multimodal Representation Learning and Fusion

Qihang Jin, Enze Ge, Yuhang Xie, Hongying Luo, Junhao Song et al.

2025-06-25Speech RecognitionRepresentation Learningspeech-recognition+1
Paper
Méthode de quadrature pour les PINNs fondée théoriquement sur la hessienne des résiduels

Antoine Caradot, Rémi Emonet, Amaury Habrard, Abdel-Rahim Mezidi, Marc Sebban et al.

2025-06-25
Paper
Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation

Xing Ma

2025-06-25Federated LearningKnowledge Distillation
PaperCode
TESSERA: Temporal Embeddings of Surface Spectra for Earth Representation and Analysis

Zhengpeng Feng, Sadiq Jaffer, Jovana Knezevic, Silja Sormunen, Robin Young et al.

2025-06-25Self-Supervised Learning
Paper
Towards Interpretable and Efficient Feature Selection in Trajectory Datasets: A Taxonomic Approach

Chanuka Don Samarasinghage, Dhruv Gulabani

2025-06-25feature selectionExplainable artificial intelligence
Paper
On the ability of Deep Neural Networks to Learn Granger Causality in Multi-Variate Time Series Data

Malik Shahid Sultan, Hernando Ombao

2025-06-25Time Series
Paper
Producer-Fairness in Sequential Bundle Recommendation

Alexandre Rio, Marta Soare, Sihem Amer-Yahia

2025-06-25Fairness
Paper
Permutation Equivariant Neural Controlled Differential Equations for Dynamic Graph Representation Learning

Torben Berndt, Benjamin Walker, Tiexin Qin, Jan Stühmer, Andrey Kormilitzin et al.

2025-06-25Graph Representation LearningRepresentation Learning
Paper
Learning Moderately Input-Sensitive Functions: A Case Study in QR Code Decoding

Kazuki Yoda, Kazuhiko Kawamoto, Hiroshi Kera

2025-06-25Image Classification
Paper
Distilling A Universal Expert from Clustered Federated Learning

Zeqi Leng, Chunxu Zhang, Guodong Long, Riting Xia, Bo Yang et al.

2025-06-25Federated Learning
Paper
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