Unnormalized Probability Densities

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4 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Source-preserving alignment for robust evidence localization in scientific PDFS

    Sep 28, 2026Zihao Liu, Wei Yang, Zixiao Dong +4Unnormalized Probability Densities

    School of Computer Science and Technology, University of Science and Technology of China · State Key Laboratory of Cognitive Intelligence · University of Science and Technology of China +1

  2. Adapt Semantics, Not Structure: Few-Instance Schema Calibration for Scientific PDF Extraction

    Sep 28, 2026Zixiao Dong, Wei Yang, Zihao Liu +4ExtractionSchema

    School of Computer Science and Technology, University of Science and Technology of China · State Key Laboratory of Cognitive Intelligence · University of Science and Technology of China +1

  3. Page-Aware Retrieval-Augmented Generation for EvalLLM 2026: A Five-Variant Study on French PDFs

    Sep 28, 2026Abdelhak keliousAgentic Retrieval-Augmented Generation SystemsUnnormalized Probability Densities

    Capsens, France

  4. From PDF to Evidence: Structure-Aware Retrieval for Clinical Practice Guidelines

    Sep 27, 2026Xingyu Lin, Dehui DuEvidence-Grounded QuestionsStructure-Aware

    Software Engineering Institute, East China Normal University Shanghai, China

  5. Layout-Guided Masking for GROBID: Lightweight Structural Gains in Large-Scale Scientific PDF Ingestion

    Sep 22, 2026Luca Foppiano, Sana Khamassi, Vipul GuptaDocument ParsingUnnormalized Probability Densities

    ScienciaLAB, Portugal · Helmholtz-Zentrum Hereon, Germany

  6. Document Retrieval-Aware Chunking (D-RAC): Universal Retrieval-Aware Ingestion of Enterprise Documents via PDF Normalization and Multimodal Markdown Conversion

    Sep 21, 2026Uday Allu, Abhivanth Sivaprakash, Pratik Singh +1ChunkDocument

    AI Research Team Yellow.ai · AI Research Team, Yellow.ai

  7. AAS-RAIL: Improving Information Extraction for Asset Administration Shells through Retrieval-Augmented In-Context Learning

    Sep 7, 2026Janek Groß, Jens HeidrichInformation ExtractionExtraction

    University of Applied Sciences Mainz, Mainz, Rhineland-Palatinate, Germany

  8. Counting Documents Is Not Counting Text: Unit Bias in Web-PDF Corpus Statistics

    Aug 17, 2026Luca FoppianoText CorporaAgentic Crawlers

    Common Crawl Foundation

  9. A concentration result for multilayer feedforward neural networks

    Aug 15, 2026Vera KoponenNeural NetworkMultilayer Perceptrons

  10. Algebraic Signatures for Structural Learning in Probability Tensors

    Jul 21, 2026Akihiro Maeda, Shohei Hidaka, Satoshi AokiDistributional SignaturesSignatures

  11. Boltzmann MapReduce: A Partition-Function Reduce for Forkable Sandboxes

    Jun 17, 2026Yossi EliazBoltzmann DistributionsUnnormalized Probability Densities

    Incredibuild · HIT CS Department, Israel

  12. Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels

    Jun 15, 2026Kirill Korolev, Nikita Morozov, Stepan Pavlenko +2Markov Chain Monte CarloGenerative Flow Networks

    1HSE University · University of Edinburgh · 3CIFAR Fellow.

  13. Operator learning for solving Fokker-Planck equations with various initial conditions

    Jun 8, 2026Li Zeng, Xiaoliang Wan, Yaobin Wang +2Fokker--Planck EquationParametric Physics-Informed Neural Network

    School of Mathematics and Statistics, Fuzhou University, Fuzhou, China · Department of Mathematics and Center for Computation and Technology, Louisiana State University, Baton Rouge 70803, USA · Faculty of Science and Technology, Beijing Normal-Hong Kong Baptist University, Zhuhai 519087, China. +2

  14. Dependence on Early and Late Reverberation of Single-Channel Speaker Distance Estimation

    May 8, 2026Michael Neri, Archontis Politis, Tuomas VirtanenReverberationImpulse Response

    Faculty of Information Technology and Communication Sciences, Tampere University, Finland

  15. Towards accurate extreme event likelihoods from diffusion model climate emulators

    May 5, 2026Peter Manshausen, Noah Brenowitz, Julius Berner +2Tropical CyclonesAtmospheric Dynamics

    NVIDIA, Santa Clara, CA, USA

  16. Kill-Chain Canaries: Stage-Level Tracking of Prompt Injection Across Attack Surfaces and Five Production LLMs

    Mar 30, 2026Haochuan Kevin Wang, Zechen ZhangAttacker Large Language ModelPrompt Engineering

    Massachusetts Institute of Technology · University of Chicago

  17. Efficient Training of Boltzmann Generators Using Off-Policy Log-Dispersion Regularization

    Feb 3, 2026Henrik Schopmans, Christopher von Klitzing, Pascal FriederichBoltzmann DistributionsKullback-Leibler Regularization

    Institute for Anthropomatics and Robotics, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany · Institute of Nanotechnology, Karlsruhe Institute of Technology, Kaiserstr. 12, 76131 Karlsruhe, Germany

  18. Control Variate Score Matching for Diffusion Models

    Dec 23, 2025Khaled Kahouli, Romuald Elie, Klaus-Robert Müller +3Score-Based Diffusion ModelDiffusion Models

    1Google DeepMind · 2BIFOLD – Berlin Institute for the Foundations of Learning and Data · 3Machine Learning Group, Technische Universität Berlin +2

  19. Edge Selection for the Effective use of Piecewise-Constant Distributions as Neural Network Outputs for Event Prediction

    Jul 29, 2025Kevin Doran, Tom BadenUnnormalized Probability DensitiesNeural Network

    School of Life Sciences, University of Sussex, UK · School of Engineering and Informatics, University of Sussex, UK · Institute of Ophthalmic Research, University of Tübingen, Germany

  20. Joint Bayesian Parameter and Model Order Estimation for Low-Rank Probability Mass Tensors

    Oct 8, 2024Joseph K. Chege, Arie Yeredor, Martin HaardtLow-Rank StructureVariational Inference

    Communications Research Laboratory, Ilmenau University of Technology, Ilmenau, Germany · School of Electrical and Computer Engineering, Tel Aviv University, Tel Aviv, Israel