📄 Paper Explainer

Recent Papers from arXiv

• arXiv:2607.24726
  Global Convergence of DGM and PINN Algorithms for Solving Nonlinear PDEs
  Justin Sirignano, Konstantinos Spiliopoulos, Samuel Cohen
  Machine Learning (cs.LG); Numerical Analysis (math.NA)
• arXiv:2607.24673
  Causal-TS: A Python Library for Causal Discovery in High-Dimensional and Nonstationary Time Series
  Mohammad Fesanghary
  Machine Learning (cs.LG); Methodology (stat.ME)
• arXiv:2607.24672
  Explainable Reinforcement Learning via Physics-Aware Policy Distillation
  Shaker Al-Tamari, Waled Kadour
  Machine Learning (cs.LG)
• arXiv:2607.24662
  When Can You Correct Distribution Drift in Temporal Graph Generation? A Sharpening--Drift Tension and an Impossibility for Observation-Based Correction
  Tianpeng Li, Xuan Guo, Wenjun Wang, et al.
  Machine Learning (cs.LG); Social and Information Networks (cs.SI)
• arXiv:2607.24645
  Sparse Autoencoders Encode Both Concepts and Functions: The Downstream Geometry of Feature Effects
  Phu Gia Hoang, Anwoy Chatterjee, Tanmoy Chakraborty, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
• arXiv:2607.24608
  Attribution and Uncertainty Behavior of Learned Residual Gyro Correction for Gyro-Stellar Estimation
  Mariela De Lucas Álvarez, Melvin Laux, Arthur de Freitas Precht, et al.
  Machine Learning (cs.LG)
• arXiv:2607.24583
  PYPM-GGD: Pitman-Yor Process Mixture with Generalized Gaussian Density using ADAM
  Kart-Leong Lim
  Machine Learning (cs.LG)
• arXiv:2607.24577
  Evaluating Fuzz Testing for Reinforcement Learning Agents
  Zhibin Kang, Hanmo You, Dong Wang, et al.
  Machine Learning (cs.LG); Software Engineering (cs.SE)
• arXiv:2607.24568
  Bit-Accurate FPGA Evaluation of Learned Feature Gating in a Fixed-Point Fourier-Feature Automatic Modulation Classifier
  Gawthaman Senthilvelan, Luthira Abeykoon
  Machine Learning (cs.LG)
• arXiv:2607.24556
  BettiSplit: Topology-Guided Privacy-Aware Split Learning Against Feature Inversion and Gradient Leakage
  Akarsh K.Nair, Muhammad Arifur Rahman, David Brown, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Cryptography and Security (cs.CR)
• arXiv:2607.24555
  LOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding
  Junsung Hwang
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2607.24553
  EchoBridge: Long-Tail-Aware ECG-Echocardiography Text Alignment for Echocardiography-Derived Cardiac Findings
  Xiaocheng Fang, Jieyi Cai, Guangkun Nie, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2607.24537
  The K-SCAN Clustering Algorithm
  Filip Kosiorowski, Grzegorz Sroka
  Machine Learning (cs.LG); Neural and Evolutionary Computing (cs.NE)
• arXiv:2607.24532
  From Machine Learning to Large-Scale EO Products: Best Practices for Making Maps
  Ghjulia Sialelli, Robin Young, Yuchang Jiang, et al.
  Machine Learning (cs.LG)
• arXiv:2607.24522
  FlowCTS: On-policy Continuous Trajectory Supervision of Flow Models
  Kaiyang Ye, Yuan Ge, Junxiang Zhang, et al.
  Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
• arXiv:2607.24519
  Stress-Testing EEG Foundation Models for Clinical Decoding: Dataset Identity and Targeted Negative Controls
  Marzieh Zare
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Neural and Evolutionary Computing (cs.NE)
• arXiv:2607.24518
  Low-Rank Dependence Decomposition via Accelerated Symmetric Non-negative Matrix Factorization
  Lavinia Ghita, Dhruv Desai, Jake Goldberg, et al.
  Machine Learning (cs.LG); Numerical Analysis (math.NA)
• arXiv:2607.24513
  Physics Transformer: Tailoring Transformer for General PDE Prediction
  Guoze Sun, Rui Zhang, Jiankai Tang, et al.
  Machine Learning (cs.LG)
• arXiv:2607.24507
  UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective
  Xiaoyi Jiang, Jingyuan Li, Yixuan Jiang, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2607.24484
  What do Reward Models Memorize?
  Ivo Verhoeven, Pushkar Mishra, Ekaterina Shutova
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2607.24434
  DraftExpert: Expansion-Aware Self-Speculative Decoding for End-Device MoE Inference
  Dengke Han
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2607.24425
  Context Is King: How In-Context Specification Shapes the Geometry of Concepts
  Elad David, Max Fomin
  Machine Learning (cs.LG)
• arXiv:2607.24405
  K-Survival Means
  Abdallah Alabdallah
  Machine Learning (cs.LG)
• arXiv:2607.24377
  MXAttention: Data-Free Optimal Scaling and Pre-Normalization Quantization for MXFP4 Attention
  Jianlin Yu, Jing Lin, Linghui Kong, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV)
• arXiv:2607.24365
  MobiWave: Dispatch-Oriented Graph Wavelets and Drift-Guided Selective Optimization for Autonomous Fleet Rebalancing
  Xiao Han, Pinbo Wang, Yuanshao Zhu, et al.
  Machine Learning (cs.LG)