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78 papers in the last four weeks, up 179% on the four weeks before. 0.8% of all new papers.

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  1. Mathematical Invariant-Enabled Topological Neural Networks for Molecular and Materials Property Prediction

    Oct 6, 2026Yiming Ren, Xiang Liu, Mustafa Hajij +2Tensor NetworksNeural Network

    Department of Mathematics, University of Georgia, Athens, GA 30602, USA. · Department of Data Science, University of San Francisco, CA 94117, USA. · Department of Computer Science and Technology, Cambridge University, Cambridge, United Kingdom. +2

  2. Algorithmically Aligned Neural Agglomerative Tree Construction

    Oct 5, 2026Robert R Nerem, Pranav Singh, Cheyenne Ward +1Neural Network

    University of California San Diego · University of Washington

  3. Joint Precision Neural Networks: Task-Aware Dependency and Predictive Learning

    Oct 5, 2026Andrea Cavallo, Samuel Rey, Antonio G. Marques +1Graph Neural NetworksNeural Network

    INSY Department, Delft University of Technology · Department of Signal Theory and Communications, King Juan Carlos University

  4. Effective Resistance and Graph Neural Network Reliability in Tissue-Specific Interactomes

    Oct 1, 2026Jianru ShenNetwork ScienceTissue

    University of Montana Missoula, MT, USA

  5. Spiking neural networks for streaming qubit readout

    Oct 1, 2026Barry M. Dillon, Aqib Javed, Jim Harkin +2Quantum ProcessorQubit

    ISRC, Ulster University, Derry, BT48 7JL, Northern Ireland · Technical University of Munich, Department of Physics, 85748 Garching, Germany · Walther-Meißner-Institut, Bayerische Akademie der Wissenschaften, 85748 Garching, Germany +2

  6. Generalization in Neural Networks Through the Lens of Magnitude Potential

    Oct 1, 2026Sahel Torkamani, Henry Gouk, Rik SarkarNeural CollapseNeural Network

    School of Informatics University of Edinburgh

  7. Controllable Stochastic Quantization Encoding for Adversarially Robust Spiking Neural Networks

    Oct 1, 2026Yujia Liu, Peiyu Liu, Yajing Zheng +1Spiking Neural NetworksNeural Network

    NERCVT, School of Computer Science, Peking University, China · State Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, China · Institute for Artificial Intelligence, Peking University, China

  8. Port-Hamiltonian Neural Networks for Systems with Multiple Asymptotically Stable Equilibria

    Oct 1, 2026Simon Heilig, Jens Püttschneider, Mohammad Itani +2HamiltonianHopfield Networks

    Faculty of Computer Science, Ruhr University Bochum, Germany · Institute of Control Systems, Hamburg University of Technology, Germany

  9. Clifford Sheaf Neural Networks

    Oct 1, 2026Kotaro Kamiya, Joel NichollsSheaf Neural NetworksSheaf

    SyntheticGestalt KK

  10. CAGE-NAS: Certified Functional Descent for Efficient Model Growth

    Oct 1, 2026Santiago Florido Gomez, Stéphane RivaudNeural Architecture SearchNeural Network

    Institut Polytechnique de Paris Paris, France · Inria Saclay, TAU Team Paris, France

  11. Inference for stochastic differential equations driven by weighted sub-fractional Brownian motion using neural networks and the Euler approximation

    Sep 30, 2026J. H. Ramirez-GonzalezStochastic Differential EquationsTime Discretization

    Institute of Mathematics and Statistics, University of São Paulo (IME–USP), São Paulo, Brazil

  12. Disentangling Computation in Multi-Task Neural Networks with the Green's Operator

    Sep 30, 2026James HazeldenRecurrent Neural NetworksNeural Operators

    Applied Mathematics, University of Washington · The Allen Institute Seattle, WA, USA

  13. Prototype-Rule Neurosymbolic Regularization for Rank-Constrained Tensor Neural Networks under Label Scarcity

    Sep 30, 2026Eftychios Protopapadakis, Konstantinos Makantasis, Konstantinos M. GiannoutakisRegularizationNeural Network

    Department of Applied Informatics, University of Macedonia, 156 Egnatia Street, 54636 Thessaloniki, Greece · Department of Artificial Intelligence, Faculty of Information & Communication Technology, University of Malta, Msida, Malta

  14. Security Properties of Neural Networks as Decision Problems

    Sep 30, 2026Adrian WurmNeural Network VerificationNp-Hard

    BTU Cottbus–Senftenberg, Lehrstuhl Theoretische Informatik Platz der Deutschen Einheit 1, 03046 Cottbus, Germany

  15. Parameter symmetries determine representational geometry in overparameterized nonlinear networks

    Sep 30, 2026Marvin Theiss, Lukas Braun, Andrew M. Saxe +1OverparameterizationSymmetry

    University of Tübingen · International Max Planck Research School for Intelligent Systems · Allen Institute for Neural Dynamics +4

  16. Minimax rates for learning spectral Barron functions by deep ReLU neural networks

    Sep 30, 2026Songqiu Ma, Yunfei YangRectified Linear Unit NetworksNeural Network

    School of Mathematics (Zhuhai), Sun Yat-sen University, Zhuhai, China. · School of Mathematics (Zhuhai) and Guangdong Province Key Laboratory of Computational Science, Sun Yat-sen University, Zhuhai, China.

  17. Not all solutions are created equal: An analytical dissociation of functional and representational similarity in deep linear neural networks

    Sep 30, 2026Lukas Braun, Erin Grant, Andrew M. SaxeNeural CircuitsNeural Representations

    Department of Experimental Psychology, University of Oxford, Oxford, UK · Gatsby Unit & Sainsbury Wellcome Centre, University College London, London, UK

  18. Learn-Then-Differentiate Gradient Estimation

    Sep 30, 2026Nifei Lin, Qingkai Zhang, L. Jeff HongGradientImplicit Differentiation

    Research Institute for Interdisciplinary Sciences, School of Information Management and Engineering, Shanghai University of Finance and Economics, Shanghai 200433, China · Department of Decision Analytics and Operations, City University of Hong Kong, Hong Kong, China · Department of Industrial and Systems Engineering, University of Minnesota, Minneapolis, Minnesota 55455

  19. Simulating Synchrony Loop Networks in the Open Source RISP Neuroprocessor

    Sep 29, 2026Jackson Mowry, Patrick AbbsNeuromorphic ComputingNeural Network

    EECS Department University of Tennessee Knoxville, TN USA · Cambrya, Inc. Austin, TX USA

  20. A neural network that maintains and retrieves memories based on context

    Sep 29, 2026Hayoung Song, JeongJun Park, Qihong Lu +4Episodic MemoryRecurrence

    Department of Psychology, University of Texas at Austin · Center for Theoretical and Computational Neuroscience, Washington University in St. Louis · Department of Neuroscience, University of Texas at Austin +6

  21. Robust LassoNet: Enhancing Feature Selection in Neural Networks via Robust Loss Functions

    Sep 29, 2026Daniela De Canditiis, Italia De Feis, Paola StolfiFeature SelectionLoss Function

    Istituto per le Applicazioni del Calcolo “Mauro Picone”, Consiglio Nazionale delle Ricerche, Via dei Taurini, 19, Roma, 00185, Italia · Istituto per le Applicazioni del Calcolo “Mauro Picone”, Consiglio Nazionale delle Ricerche, Via Pietro Castellino, 111, Napoli, 80131, Italia

  22. Neural networks for spectral optimization

    Sep 28, 2026Alexis de Villeroché, Beniamin Bogosel, Stéphane Breuils +2Spectral Representation MethodNeural Partial Differential Equation Solvers

  23. EvE: An Alternate Optimizer to Adam

    Sep 28, 2026Shashank Raj, Kalyanmoy DebAdamEvolutionary Optimization Methods

    Department of Computer Science The University of Alabama Tuscaloosa, AL 35487, USA

  24. Graph neural networks for sampling-invariant embeddings of organized signal sets

    Sep 28, 2026Martin Bauw, Santiago Velasco-Forero, Jesus AnguloGraph Signal ProcessingGraph Neural Networks

    CMM · CMA

  25. Weighting Schedules Govern What and When Score-Based Generative Models Learn from Multimodal Data

    Sep 28, 2026Jérémie Klinger, Raphaël Urfin, Giulio Biroli +1Generative ModelsLearning Dynamics

    Laboratoire de Physique de l’École normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France

  26. Latency and accuracy tradeoffs in Spiking Neural Networks

    Sep 28, 2026Zhanglu Yan, Zixuan Zhu, Kaiwen Tang +3Spiking Neural NetworksTime-To-First-Spike

    Department of computer science, National University of Singapore · Shanghai Advanced Research Institute, Chinese Academy of Science · University of Chinese Academy of Sciences, Beijing +1

  27. GAC-PINN: Geometry-Adaptive and Constraint-Enhanced Physics-Informed Neural Networks

    Sep 28, 2026Yanxin Zhang, Yong Zhang, Houbiao LiParametric Physics-Informed Neural NetworkNeural Network

    University of Electronic Science and Technology of China, Chengdu, 611731, Sichuan, China

  28. SpikeLite: Lightweight Spiking Neural Networks for Time-Series Forecasting

    Sep 28, 2026Bang Hu, Changze Lv, Mingjie Li +3Spiking Neural NetworksTime-To-First-Spike

    School of Computer Science, Fudan University, Shanghai, China

  29. Environmental requirements for the use of social information by artificial life agents using evolved plastic artificial neural networks

    Sep 28, 2026Hugh Charterton, James M. Borg, Aniko EkartNeuroevolutionSelf-Evolving Agents

    Aston Centre for AI Research and Application, Aston University, Birmingham, United Kingdom

  30. Physics-Informed Neural Networks for Depth-Averaged Avalanche Dynamics

    Sep 28, 2026Pradyumn Singh Sikarwar, Vishal Sharma, Gaurav BhutaniParametric Physics-Informed Neural NetworkSubsurface Scattering

    School of Mechanical and Materials Engineering, Indian Institute of Technology Mandi, India

  31. Gaussian Neural Networks

    Sep 28, 2026Peter Kuhn, Victoria Heusinger-HeßBayesian Neural NetworksNeural Network

    Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-Institut, EMI, Germany

  32. CLAD: Constrained Abstract Domain for Neural Network Verification

    Sep 28, 2026Hai Duong, Thanh Le, ThanhVu NguyenNeural Network VerificationNeural Network

    Department of Computer Science George Mason University Fairfax, VA, USA · Unaffiliated Yokosuka, Japan

  33. Verifying Neural Networks with Reinforcement Learning

    Sep 28, 2026Hai Duong, Thanh Le, ThanhVu NguyenNeural Network VerificationReinforcement Learning With Verifiable Reward

    Department of Computer Science George Mason University Fairfax, VA, USA · Unaffiliated Yokosuka, Japan

  34. T-SNN: Temporal Simplicial Neural Network for EEG Decoding

    Sep 27, 2026Nikita Malik, Shubhajit Roy, Mohit Kataria +4Electroencephalography DecodingElectroencephalography

    Bharti School of Telecommunication Technology and Management Indian Institute of Technology, Delhi · Department of Computer Science & Engineering Indian Institute of Technology, Gandhinagar · Yardi School of Artificial Intelligence Indian Institute of Technology, Delhi +4

  35. Finite Probes Suffice: Identifiability and Universality for Weight-Space Learning

    Sep 27, 2026Soutrik Sarangi, Yonatan Sverdlov, Adir Dayan +2Neural NetworkHidden States

    Microsoft · Faculty of Mathematics, Technion – Israel Institute of Technology · Faculty of Electrical and Computer Engineering, Technion – Israel Institute of Technology +1

  36. Discovering Symmetries in Neural Network Parameter Spaces

    Sep 27, 2026Bo Zhao, Nima Dehmamy, Robin Walters +1SymmetryEquivariant Neural Networks

    Harvard University · IBM Research · Northeastern University +1

  37. AutoHGNN: Robust and Efficient Neural Architecture Search for Hypergraph Neural Networks

    Sep 27, 2026Sirui Li, Pietro Liò b, Xinsheng Li +2HypergraphsNeural Architecture Search

    Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, Zhejiang, China · Department of Computer Science and Technology, University of Cambridge, Cambridge, CB2 1TN, Cambridgeshire, United Kingdom

  38. NNV3: Expanding Neural Network Verification to New Architectures and Domains

    Sep 24, 2026Anne M. Tumlin, Samuel Sasaki, Ben Wooding +8Neural Network VerificationFormal Verification

    Vanderbilt University, USA · The University of Texas at Dallas, USA

  39. On the second-order optimization for spiking neural networks

    Sep 24, 2026Ngoc Phu Doan, Ihsen AlouaniSpiking Neural NetworksTime-To-First-Spike

    Centre for Secure Information Technologies Queen’s University Belfast

  40. A Study of the Limits of Collaborative DCT-Based Image Denoising via Interpretable Neural Networks

    Sep 24, 2026Cristian Comellas, Julia Navarro, Antoni BuadesIterative Denoising MethodsVisual Priors

    Department of Mathematics and Computer Science, Universitat de les Illes Balears, Cra. de Valldemossa, km 7.5, Palma, 07122, Balearic Islands, Spain.

  41. Spectral Graph Neural Networks with Hermite Polynomials: A Comprehensive Study

    Sep 24, 2026Shuang WuGraph Neural NetworksNeural Network

    UCLA

  42. NGN: Learning Neural Network Size as a Differentiable Count

    Sep 23, 2026Lixing LiNeural NetworkTwo-Layer Neural Networks

    Cornell University Ithaca, NY 14853

  43. PreGS: A Parameter-Transfer-Based Multi-Expert Graph Neural Network for Node Classification

    Sep 22, 2026Zhicong Cai, Yinglong Zhang, Xiaoying Hong +2Graph Neural NetworksInterleaved Graph Attention

    College of Physics and Information Engineering, Minnan Normal University, Zhangzhou 363000, China

  44. Theory for groupoid equivariant neural networks: an approach for steerable CNNs on bounded domains

    Sep 22, 2026Alberto Ibort, Maria Jimenez-Vazquez, Juan M. Perez-PardoEquivariant Neural NetworksEquivariance

    Universidad Carlos III de Madrid, ROR: 03ths8210, Departamento de Matem´aticas, Avenida de la Universidad 30 (edificio Sabatini), 28911 Legan´es (Madrid), Espa˜na. · Instituto de Ciencias Matem´aticas ICMAT (CSIC-UAM-UC3M-UCM), ROR: 05e9bn444, Campus de Cantoblanco UAM, Calle Nicol´as Cabrera 13-15, 28049 Madrid, Espa˜na.

  45. Exploring Solver-Level Warmstarting for Neural Network Verification

    Sep 22, 2026Annelot Bosman, Minghao Liu, Marta Kwiatkowska +2Neural Network VerificationNeural Solvers

    Leiden Institute of Advanced Computer Science, Leiden · University of Oxford, United Kingdom · Chair for AI Methodology, RWTH Aachen University, Germany +1

  46. Challenges of Multi-Speaker Extraction for Real Conversational Speech Enhancement

    Sep 22, 2026Robert Sutherland, Stefan Goetze, Jon BarkerTarget Speaker ExtractionSpeech Enhancement

    School of Computer Science, University of Sheffield, Sheffield, United Kingdom · South Westphalia University of Applied Sciences, Iserlohn, Germany

  47. Graded Representation Theory of Equivariant Neural Networks

    Sep 22, 2026Mani ShayestehfarEquivariant Neural NetworksEquivariance

  48. Spatiotemporal Kronecker Covariance Neural Networks

    Sep 21, 2026Andrea Cavallo, Athanasios Georgoutsos, Elvin IsufiSpatio-Temporal ForecastingSpatiotemporal

    Delft University of Technology, Delft, Netherlands

  49. Virtual neural networks: hundreds of souls in a body

    Sep 21, 2026Petr Hurtik, Marek Vajgl, Zahra Alijani +1EnsembleNeural Network

    Centre of Excellence IT4Innovations, Institute for Research and Applications of Fuzzy Modeling, University of Ostrava, 30. dubna 22, Ostrava, Czech Republic

  50. Can Spiking Neural Networks play pinball? A neuromorphic motion detector for target tracking

    Sep 21, 2026Mazdak Fatahi, Šárka Pryjmaková, Pierre Boulet +1Neuromorphic ComputingNeural Network

    Univ. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000 Lille, France · Department of Cybernetics, Faculty of Electrical Engineering, Czech Technical University in Prague

  51. A Lightweight Convolutional Neural Network for Real-Time Recognition of Hand-Drawn Geometric Shapes

    Sep 21, 2026Shahir AbdullahConvolutional Neural NetworksStatistical Shape Model

  52. Training Neural Networks to Approach the Optimum Bayes Estimator in Dense Multi-Emitter Localization

    Sep 17, 2026Yi Sun, Mona Sharifi, Muzna YummanNeural Network TrainingNeural Network

    Electrical Engineering Department Applied and Embodied AI Lab The City College of City University of New York New York, NY 10031, USA

  53. Position Paper: Neurotransmitters as a Missing Dimension in Artificial Neural Networks

    Sep 17, 2026Yupei Li, Manuel Milling, Berrak Sisman +1Adaptive Deep Brain StimulationSynaptic Plasticity

    Department of Computing and Chair of Health Informatics Imperial College London and Technical University of Munich London and Munich, United Kingdom and Germany · Chair of Health Informatics Technical University of Munich Munich, Germany · Department of Electrical and Computer Engineering Johns Hopkins Whiting School of Engineering Baltimore, United States +1

  54. Error bounds in Sobolev norms for approximations with norm constrained ReLU neural networks

    Sep 17, 2026Xianjun Li, Yunfei YangLogarithmic Sobolev InequalitiesRectified Linear Unit Networks

    School of Statistics and Data Science, Capital University of Economics and Business, Beijing, China. · School of Mathematics (Zhuhai) and Guangdong Province Key Laboratory of Computational Science, Sun Yat-sen University, Zhuhai, China.

  55. ReDIL-GNN: Resynthesis Domain Incremental Learning for Circuit Graph Neural Networks

    Sep 16, 2026Rupesh Raj Karn, Johann Knechtel, Ozgur SinanogluDifferentiable Logic Gate NetworksGnn-Based Detectors

    Center for Cyber Security, New York University, Abu Dhabi, UAE.

  56. Graph neural networks for exoplanet atmospheres

    Sep 15, 2026Antonia Vojtekova, Kai Hou Yip, Ingo P. Waldmann +4Exoplanet AtmospheresAtmospheric Dynamics

    Department of Physics and Astronomy, University College London, Gower Street, WC1E 6BT London, United Kingdom · European Space Agency, ESAC, Camino Bajo del Castillo, 28692, Villanueva de la Cañada, Madrid, Spain · Department of Physics, King’s College London, University of London, Strand, London, WC2R 2LS, United Kingdom +1

  57. Hybrid coupling with numerics-informed neural networks and the overlapping Schwarz alternating method

    Sep 15, 2026George Chumbipuma, Irina Tezaur, Alejandro Diaz +1One-Dimensional Viscous Burgers EquationNewton

    Rice University · Sandia National Laboratories

  58. NObSP: Functional Decomposition of Neural Networks via Oblique Subspace Projections

    Sep 15, 2026Alexander Caicedo, Víctor De La Hoz, Santiago AlférezNeural NetworkSubspace

    Department of Electronic Engineering, Pontificia Universidad Javeriana, Bogot´a, Colombia · Pontificia Universidad Javeriana, Bogot´a, Colombia · Department of Mathematics, Universitat Polit`ecnica de Catalunya, Barcelona, Spain

  59. Regularized Least Squares Training of Quadratic Neural Networks with Applications to System Identification

    Sep 15, 2026Luis Rodrigues, Zachary Yetman Van Egmond, Mohammad R. Amiri FardLeast SquaresSystem Identification

    Department of Electrical and Computer Engineering Concordia University Montr´eal, QC, Canada

  60. Lecture notes on Physics Informed Neural Networks, Neural Operators, and their applications

    Sep 15, 2026Alessandro BombiniParametric Physics-Informed Neural NetworkFourier Neural Operators

    Istituto Nazionale di Fisica Nucleare, Sezione di Firenze