📄 Paper Explainer

Recent Papers from arXiv

• arXiv:2609.11918
  General Quantification of Covariate and Concept Shifts
  Hongbo Chen, Li Charlie Xia
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Machine Learning (stat.ML)
• arXiv:2609.11917
  Data Scarcity and Model Sparsity: Mixtures-of-Experts Overfit More to Repeated Data
  Atindra Jha, Margaret Li, Jure Leskovec, et al.
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2609.11910
  From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good
  Nitesh V. Chawla, Paulo Benanti
  Machine Learning (cs.LG)
• arXiv:2609.11904
  TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription
  Akshaj Gupta, Hwi Joo Park, Andrea Guzman, et al.
  Machine Learning (cs.LG)
• arXiv:2609.11897
  CausalArena: Benchmarking Causal Discovery in the Foundation Model Era
  Zi-Rong Li, Si-Yang Liu, Tian-Zuo Wang, et al.
  Machine Learning (cs.LG)
• arXiv:2609.11884
  CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search
  Yifan Yang, Zhaoyan Wang, Zheng Gao, et al.
  Machine Learning (cs.LG); Computer Vision and Pattern Recognition (cs.CV)
• arXiv:2609.11873
  The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
  Yi Duan, Ying Liu, Zirui Tang, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Computation and Language (cs.CL)
• arXiv:2609.11867
  AdamX: Cosine similarity meets gradient descent
  Francisco Caldas, Ruben Belo, Cláudia Soares
  Machine Learning (cs.LG); Optimization and Control (math.OC)
• arXiv:2609.11842
  Model-Aware Schedules Improve Generation via Fiberwise Optimal Transport
  Luyi Jia, Boyan Zhang, Yilun Liu, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2609.11801
  Thinking with Looped Flows
  Ayhan Suleymanzade, Chanhyuk Lee, Floor Eijkelboom, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2609.11790
  Dynamic language model representations for multi-objective reaction optimisation
  Joshua W. Sin, David Ming Segura, Bojana Ranković, et al.
  Machine Learning (cs.LG)
• arXiv:2609.11780
  Predicting Privacy Leakage from Weight Spectral Density
  Richard J. Preen, Jim Smith
  Machine Learning (cs.LG); Cryptography and Security (cs.CR); Neural and Evolutionary Computing (cs.NE)
• arXiv:2609.11716
  Why Does Post-Training Quantization Work?
  Yuxiang Chen, Michael Beyer, Jun Zhu, et al.
  Machine Learning (cs.LG); Computation and Language (cs.CL)
• arXiv:2609.11656
  Learnware and AI Model Management System
  Zhi-Hua Zhou
  Machine Learning (cs.LG)
• arXiv:2609.11655
  Musec: MomentUm SpEctral Clipping for Stable Muon-type Training
  Zhuanghua Liu, Menglian Wang, Luo Luo
  Machine Learning (cs.LG)
• arXiv:2609.11648
  RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series Imputation
  Ramiro Valdes Jara, David Chapman, Adam Meyers
  Machine Learning (cs.LG); Machine Learning (stat.ML)
• arXiv:2609.11639
  LoaDiff: Conditional Generation of Electricity Consumption Time Series for Energy Analytics
  Mariia Baranova, Adrien Petralia, Etienne Le Naour, et al.
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI); Signal Processing (eess.SP)
• arXiv:2609.11580
  A Dataset and Model for Imputing Water Surface Elevation on a Large and Extremely Sparse Spatiotemporal Graph
  Ruben Cartuyvels, Karim Douch, Gabriele Bertoli, et al.
  Machine Learning (cs.LG)
• arXiv:2609.11538
  Particle GFlowNets: Rethinking Generative Marginalization Models
  Tiago da Silva, Diego Mesquita, Salem Lahlou
  Machine Learning (cs.LG)
• arXiv:2609.11521
  Generalized Score Matching for Parameter Estimation on Convex Domains
  Nishanth Shetty, Saisuchith Mahajan, Chandra Sekhar Seelamantula
  Machine Learning (cs.LG); Machine Learning (stat.ML)
• arXiv:2609.11504
  DeFiFlowBench: Benchmarking and Improving Safe Executability in Natural-Language DeFi Workflow Synthesis
  Abhinav Rajeev Kumar, Harshit Arora, Varun Singh, et al.
  Machine Learning (cs.LG); Software Engineering (cs.SE)
• arXiv:2609.11495
  Combining Synthetic and Real Data for Low-Resource Historical OCR: A Manchu Case Study
  Yan Hon Michael Chung, Hanlin Wang
  Machine Learning (cs.LG)
• arXiv:2609.11449
  Prevalence Determines Precision:Silent Contamination in Detector-Defined Datasets
  Jia Huang, Yankai Wan, Yangjun Ou
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)
• arXiv:2609.11366
  Local Robustness Quantification for Naive Bayes Classifiers and Generative Forests: a General Approach
  Adrián Detavernier, Jasper De Bock
  Machine Learning (cs.LG)
• arXiv:2609.11347
  Reification as a Transferable Vocabulary: Zero-Shot Link Prediction with Vanilla GNNs
  Camille Pradel
  Machine Learning (cs.LG); Artificial Intelligence (cs.AI)