📄 Paper Explainer

Recent Papers from arXiv

• arXiv:2607.09641
  Semantic Pareto-DQN: A Multi-Objective Reinforcement Learning Framework for Financial Anomaly Detection
  Cláudio Lúcio do Val Lopes, Lucca Machado da Silva
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2607.09546
  Graph-Regularized Low-Rank Matrix Completion by Variable Projection
  Benoît Loucheur, P.-A. Absil, Michel Journée
  Machine Learning (cs.LG); Numerical Analysis (math.NA); Optimization and Control (math.OC)
• arXiv:2607.09543
  CoCoT-EEG: Contrastive-Pretrained Multiscale Convolutional Transformer for EEG Decoding
  Gabriel Mahuas, Victoria Shevchenko, Ugo Tanielian, et al.
  Machine Learning (cs.LG); Neurons and Cognition (q-bio.NC)
• arXiv:2607.09537
  GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting
  Qitai Tan, Ruiwen Gu, Yilin Su, et al.
  Machine Learning (cs.LG)
• arXiv:2607.09532
  Statistically Undetectable Backdoors in Deep Neural Networks
  Andrej Bogdanov, Alon Rosen, Neekon Vafa
  Machine Learning (cs.LG); Cryptography and Security (cs.CR); Machine Learning (stat.ML)
• arXiv:2607.09528
  TSAI-MetaFraud: A Benchmark Dataset for Financial Fraud Transaction and Behavioral Risk Detection in Metaverse Ecosystems
  Refat Ishrak Hemel, Ehsan Hallaji, Roozbeh Razavi-Far
  Machine Learning (cs.LG); Cryptography and Security (cs.CR); Databases (cs.DB); Social and Information Networks (cs.SI)
• arXiv:2607.09502
  All Explanations are Wrong, But Many Are Useful: Exploring the Rashomon Explanation Set with Large Language Models
  Pan Li
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
• arXiv:2607.09487
  Neural Collapse Is Forbidden: Information Floors in Language Models
  Bruno Abrahao
  Machine Learning (cs.LG); Computation and Language (cs.CL); Machine Learning (stat.ML)
• arXiv:2607.09456
  Active rejection enables reliable generalization of universal machine-learning interatomic potentials
  Mingxiang Luo, Xinnan Mao, Lu Wang, et al.
  Machine Learning (cs.LG)
• arXiv:2607.09422
  Action-Factored Multi-Agent Reinforcement Learning for Scalable Quantum Device Tuning
  Edwin De Nicolo, Rahul Marchand, Cornelius Carlsson, et al.
  Machine Learning (cs.LG); Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
• arXiv:2607.09405
  Similarity search generalisation in contrastive learning with InfoNCE loss
  Nick Whiteley
  Machine Learning (cs.LG); Machine Learning (stat.ML)
• arXiv:2607.09404
  SYNRARE: Synthetic Rare Disease EHR Generation for ML Benchmarking
  Nicolai Dinh Khang Truong, Richard Röttger
  Machine Learning (cs.LG)
• arXiv:2607.09402
  Data-Efficient Deep Learning: Empirical Guidelines for Training Set Size Estimation in Inertial Sensor Classification
  Ofir Kruzel, Itzik Klien
  Machine Learning (cs.LG)
• arXiv:2607.09400
  On-Device Adaptive Battery Power Prediction for Electric Vehicles
  Avik Bhatnagar, Anton Paule, Tobias Schuermann, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Hardware Architecture (cs.AR); Performance (cs.PF)
• arXiv:2607.09399
  Fully Trainable Deep Differentiable Logic Gate Networks and Lookup Table Networks
  Wout Mommen, Lars Keuninckx, Matthias Hartmann, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2607.09382
  Learning Physics-Informed Surrogate Model of Linear Elastic Displacement Fields from Geometry
  Rodolphe Barlogis, Ferhat Tamssaouet, Quentin Falcoz, et al.
  Machine Learning (cs.LG)
• arXiv:2607.09375
  Mach-Mind-4-Flash Technical Report
  Foundation Model Team (Li Auto Inc)
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2607.09372
  Graph Neural Networks for Scalable and Transferable Node Centrality Approximation
  Samra Sana, Giorgio Mantica, Saul Imbrici
  Machine Learning (cs.LG)
• arXiv:2607.09336
  Shortcut Trajectory Planning for Efficient Offline Reinforcement Learning
  Guanquan Wang, Yoshimasa Tsuruoka
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Robotics (cs.RO)
• arXiv:2607.09298
  Risk-Aware General-Utility Markov Decision Processes
  Pedro P. Santos, Fábio Vital, Alberto Sardinha, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2607.09287
  Super-Tuning: From Activation-Aware Pruning to Sparse Fine-Tuning
  Ivan Ilin, Philip Zmushko, Peter Richtárik
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2607.09277
  Autoregressive latent diffusion for 3D molecule generation
  Federico Ottomano, Gaopeng Ren, Yingzhen Li, et al.
  Machine Learning (cs.LG)
• arXiv:2607.09266
  LionVote: Per-Layer Learning Rate Adaptation for Lion
  Kris Atallah (New York University, New York, USA)
  Machine Learning (cs.LG)
• arXiv:2607.09236
  Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem
  Amit Peleg, Naman Deep Singh, Naama Pearl, et al.
  Machine Learning (cs.LG)
• arXiv:2607.09235
  All you need is SAMPAT
  Jayadeva, Madhur Aswani
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computer Vision and Pattern Recognition (cs.CV); Functional Analysis (math.FA)