Neural Processes

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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  1. Error- and Prediction-Driven Motor Learning in the Cortico-Cerebellar Loop

    Sep 24, 2026Ana Carolina Filipe, Rui Ponte Costa, Cláudia SoaresRobotic ControlNeural Processes

    Department of Computer Science, NOVA School of Science and Technology, Caparica, Portugal · Centre for Neural Circuits and Behaviour, University of Oxford

  2. NPBoost: Neural Processes with Gradient-Boosted Fixed Effects

    Sep 23, 2026Andrea Nava, Ken Rölli, Armin Begic +1Meta-LearningNeural Processes

    Seminar for Statistics, ETH Zurich, Switzerland · Lucerne University of Applied Sciences and Arts, Switzerland

  3. Axonal delay dispersion decides whether a neuron detects an event or a sequence, and predicts cortical column diameter

    Sep 3, 2026Cheng Bi, Jipeng SunNeural ProcessesNeural Encoding

    Independent Researcher · Department of Computer Science, Princeton University

  4. Stimulus-Evoked Network Dynamics in Human Cortical Organoids: From a Graph-Computational Framework to Repeated-Stimulation Depression

    Jul 30, 2026Esmaeil S. Nadimi, Vinay C. Gogineni, Jan-Matthias Braun +3Neural Processes

    Applied AI and Data Science Unit, Maersk Mc-Kinney Moller Institute, Faculty of Engineering, University of Southern Denmark · Biomedical Mass Spectrometry and System Biology Unit, Department of Biochemistry and Molecular Biology, Faculty of Science, University of Southern Denmark

  5. Behaviour-Conditioned Neural Processes for Adaptive Residential Short-Term Load Forecasting

    Jul 17, 2026Ramin Soleimani, Andrea Visentin, Dirk PeschNeural ProcessesTime Series Forecasting

    School of Computer Science and Information Technology, University College Cork, Cork, Ireland

  6. Human-AI Agent Interaction as a Neuroplastic Training Environment

    Jul 14, 2026Eranga Bandara, Ross Gore, Asanga Gunaratna +17Neural ProcessesHuman-AI Interaction

    Old Dominion University, Norfolk, VA, USA · AI Motion Labs, Melbourne, Australia · Lithuanian University of Health Sciences +6

  7. Neural Operator Processes for Probabilistic Operator Learning under Partial Observations

    Jun 22, 2026Jose Miguel Lara-Rangel, Serge GuillasNeural ProcessesPDE Operator Learning

    University College London London, United Kingdom

  8. Machine Learning Methods for Studying Latent Neural Activity Dynamics

    Jun 9, 2026Shufeng Kong, Fumei Deng, Xinyi Dong +7Dynamical SystemsLatent Variable Models

    School of Software Engineering, Sun Yat-sen University, Zhuhai, China · School of Computer Science and Artificial Intelligence, Foshan University, Foshan, China · Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY, USA +2

  9. Hyperbolic Neural Population Geometry Benefits Computation

    Jun 8, 2026Dennis Wu, Yi-Chun Hung, Braden Yuille +2Neural Representation GeometryNeural Processes

    Department of Computer Science, Northwestern University · Center for Foundation Models and Generative AI, Northwestern University · Integrated Science Program, Northwestern University +3

  10. Revisiting Neural Processes via Fourier Transform and Volterra Series

    May 31, 2026Peiman Mohseni, Nick Duffield, Raymond K. W. WongNeural ProcessesFrequency-Domain Feature Learning

    Texas A&M University, College Station, Texas, USA.

  11. Cortex and subcortex play distinct roles over learning when cortical memory is limited

    May 30, 2026Matthew Farrell, Taro ToyoizumiComputational Cognitive ModelingReinforcement Learning

    Laboratory for Neural Computation and Adaptation RIKEN Center for Brain Science, Wako, Japan · Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.

  12. Supervised Training Rapidly Degrades Early Visual Cortex Alignment Across Biologically Plausible Learning Rules

    May 28, 2026Nils LeuteneggerNeural Representation GeometryPredictive Coding

    Independent Researcher, Switzerland

  13. Misalignment Between Backpropagation and the Hierarchy of Brain Responses to Images

    May 27, 2026Joséphine Raugel, Maximilian Seitzer, Marc Szafraniec +6BackpropagationVisual Representation Learning

    Meta AI · Ecole Normale Supérieure, PSL University

  14. Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP

    May 26, 2026Siddharth Chaini, Federica B. Bianco, Ashish MahabalIrregular Time-Series ModelingNeural Processes

    Department of Physics and Astronomy, University of Delaware, Newark, DE 19716, USA · University of Delaware, Data Science Institute, Newark, DE 19716, USA · Joseph R. Biden, Jr. School of Public Policy and Administration, University of Delaware, DE 19716, USA +3

  15. Metropolis-Scale Resilient and Trustworthy Traffic Flow Inference Using Multi-Source Data

    May 24, 2026Qishen Zhou, Yifan Zhang, Michail A. Makridis +3Uncertainty QuantificationNeural Processes

    School of Transportation, Jilin University, Changchun, 130022, China · Department of Computer Science, City University of Hong Kong (Dongguan), Dongguan, 523808, China · Institute for Transport Planning and Systems, ETH Zurich, Zurich, 8093, Switzerland +2

  16. Characterizing the Representational Capacity of Neural Processes

    May 22, 2026Robin YoungNeural ProcessesNeural Network Expressivity

    University of Cambridge

  17. Learning dynamical systems with biochemically informed neural ordinary differential equations

    May 22, 2026Luis L. Fonseca, Reinhard C. Laubenbacher, Lucas BöttcherDynamical SystemsNeural Processes

    Laboratory for Systems Medicine, Department of Medicine, University of Florida, Gainesville, FL, USA · Department of Computational Science and Philosophy, Frankfurt School of Finance and Management, Frankfurt am Main, 60322, Germany

  18. Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography

    May 21, 2026Dongxin Guo, Jikun Wu, Siu Ming YiuNeural ProcessesLLM Interpretability

    The University of Hong Kong · Hong Kong, China · Stellaris AI Limited

  19. Cross-Species RSA Reveals Conserved Early Visual Alignment but Divergent Higher-Area Rankings Across Human fMRI and Macaque Electrophysiology

    May 21, 2026Nils LeuteneggerRepresentational Similarity AnalysisVisual Representation Learning

    Independent Researcher, Switzerland

  20. Temporal Coding as a Substrate for Sensorimotor Object Inference: A Spiking Reinterpretation of Thousand Brains Architecture

    May 21, 2026Joy BoseNeural ProcessesActive Sensing

    Independent Researcher, Bengaluru, India

  21. Three Costs of Amortizing Gaussian Process Inference with Neural Processes

    May 20, 2026Robin YoungLatent Variable ModelsAmortized Inference

    University of Cambridge, Cambridge, UK

  22. TIDE: Asymmetric Neural Circuits for Stabilized Temporal Inhibitory-Excitatory Dynamics

    May 19, 2026Alexander Kyuroson, Denis Kleyko, Marcus LiwickiDynamic Neural NetworksNeural Processes

    Luleå University of Technology, Luleå, Sweden · Örebro University & RISE Research Institutes of Sweden

  23. Efficient coding along the visual hierarchy

    May 18, 2026Ananya Passi, Brian S. Robinson, Michael F. BonnerUnsupervised LearningNeural Processes

    Department of Cognitive Science, Johns Hopkins University, Baltimore, MD, USA · Applied Physics Laboratory, Johns Hopkins University, Baltimore, MD, USA

  24. Von Economo neurons enable reliable social skill acquisition in recurrent spiking neural networks: a computational account with clinical predictions

    May 17, 2026Esila KeskinNeural ProcessesRecurrent Neural Networks

    School of Computing and Creative Technologies, University of the West of England, Bristol, UK

  25. Dual-axis attribution of zebrafish tectal microcircuits for energy-efficient and robust neurocomputing

    May 13, 2026Ningping Li, Hao Zhang, Yi ZhouEfficient Neural Network InferenceNeural Processes

    University of Science and Technology of China, Hefei, China

  26. Implicit Behavioral Decoding from Next-Step Spike Forecasts at Population Scale

    May 13, 2026John R. Minnick, Jesus Gonzalez-Ferrer, Kamran Hussain +6Brain-Computer InterfacesNeural Processes

    Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA, USA · UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA · Department of Biomolecular Engineering, University of California, Santa Cruz, CA, USA +2

  27. SpikeProphecy: A Large-Scale Benchmark for Autoregressive Neural Population Forecasting

    May 13, 2026John R. Minnick, Jinghui Geng, Kamran Hussain +6Neural ProcessesTime Series Forecasting

    Department of Electrical and Computer Engineering, University of California, Santa Cruz, CA, USA · UC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA, USA · Department of Computer Science and Engineering, University of California, Santa Cruz, CA, USA +2

  28. Spectral Transformer Neural Processes

    May 10, 2026Xianhe Chen, Hao Chen, Yingzhen LiTransformerNeural Processes

    University of Cambridge · Tencent · Imperial College London

  29. From Regression to Inference: Meta-Learning Predictors for Neural Architecture Search

    May 10, 2026Liping Deng, MingQing XiaoNeural Surrogate ModelingMeta-Learning

    Department of Mathematics University of California, Riverside Riverside, CA 92507 USA · School of Mathematical and Statistical Sciences Southern Illinois University Carbondale Carbondale, IL 62901 USA

  30. PRIM: Meta-Learned Bayesian Root Cause Analysis

    May 9, 2026Christopher Lohse, Anish Dhir, Amadou Ba +3Meta-LearningNeural Processes

    University of Dublin, Trinity College, Dublin, Ireland · IBM · Gatsby Computational Neuroscience Unit, University College London +2

  31. From Drops to Grid: Noise-Aware Spatio-Temporal Neural Process for Rainfall Estimation

    May 7, 2026Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk +1Neural Processes

    Dept. Comp. Sc., Aarhus University & Cordulus · Cordulus · Dept. of Comp. Science, Aarhus University

  32. Interpreting V1 Population Activity via Image-Neural Latent Representation Alignment

    May 5, 2026Xin Wang, Zhuangzhi Gao, Hongyi Qin +3Contrastive LearningNeural Processes

    School of Psychological and Cognitive Sciences, Peking University, Beijing, China · Department of Primary Care and Mental Health, University of Liverpool, Liverpool, United Kingdom · Liverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, United Kingdom +2

  33. Learning reveals invisible structure in low-rank RNNs

    May 5, 2026Yoav Ger, Omri BarakNeural ProcessesRecurrent Neural Networks

    Ruth and Bruce Rappaport Faculty of Medicine and Network Biology Research Laboratory Technion – Israel Institute of Technology, Haifa, Israel

  34. Causal Learning with Neural Assemblies

    Apr 29, 2026Evangelia Kopadi, Dimitris KallesNeural ProcessesCausal Discovery

    Hellenic Open University Greece

  35. Emergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics

    Apr 28, 2026Arnau Vivet, Alex ArenasSoftmax AttentionDynamical Systems

    1Departament d’Enginyeria Inform`atica i Matem`atiques, Universitat Rovira i Virgili, 43007 Tarragona, Spain · 2Complexity Science Hub Vienna, Metternichgasse 8, 1030 Vienna, Austria

  36. ZenBrain: A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems

    Apr 26, 2026Alexander BeringMemorization in Language ModelsNeural Processes

    Zensation AI

  37. Learning Hippo: Multi-attractor Dynamics and Stability Effects in a Biologically Detailed CA3 Extension of Hopfield Networks

    Apr 22, 2026Daniele Corradetti, Renato CorradettiDynamical SystemsNeural Processes

    Grupo de Física Matemática Instituto Superior Técnico Av. Rovisco Pais, 1049-001 Lisboa, Portugal · Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino (NEUROFARBA) Università di Firenze, Italy22

  38. On the Conditioning Consistency Gap in Conditional Neural Processes

    Apr 21, 2026Robin YoungNeural ProcessesConditional Generative Modeling

    Department of Computer Science and Technology University of Cambridge

  39. On the Emergence of Syntax by Means of Local Interaction

    Apr 20, 2026Zichao WeiNeural Cellular AutomataNeural Processes

    Saarland University

  40. AI Mental Models: Learned Intuition and Deliberation in a Bounded Neural Architecture

    Mar 23, 2026Laurence AnthonyLogical ReasoningComputational Cognitive Modeling

    School of Creative Science and Engineering Faculty of Science and Engineering Waseda University

  41. The Metric Slingshot: Navigational Reuse as Width-Optimal Structural Decoupling in Continual Learning

    Mar 16, 2026Xin LiNeural ProcessesContinual Learning

    Department of Computer Science University at Albany, SUNY Albany, NY 12222, USA

  42. SHINE: Sequential Hierarchical Integration Network for EEG and MEG

    Feb 27, 2026Xiran Xu, Yujie Yan, Songyi Li +4ElectroencephalographyNeural Processes

    Speech and Hearing Research Center, School of Intelligence Science and Technology, Peking University, China · National Key Laboratory of General Artificial Intelligence, China · Center for BioMed-X Research, Academy for Advanced Interdisciplinary Studies, Peking University, China

  43. Teaching signal synchronization in deep neural networks with prospective neurons

    Nov 18, 2025Nicolas Zucchet, Qianqian Feng, Axel Laborieux +3Neural ProcessesTemporal Credit Assignment

    Computer Science Department, ETH Zürich · Gatsby Computational Neuroscience Unit, University College London · Friedrich Miescher Institute for Biomedical Research +3

  44. Dynamical stability for dense patterns in attractor neural networks

    Jul 14, 2025Uri Cohen, Máté LengyelDynamical SystemsNeural Processes

    Computational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge, UK · Center for Cognitive Computation, Department of Cognitive Science, Central European University, Budapest, Hungary

  45. ELiSe: Efficient Learning of Sequences in Structured Recurrent Networks

    Feb 26, 2024Laura Kriener, Ben von Hünerbein, Kristin Spicher +5Neural ProcessesRecurrent Neural Networks

    Department of Physiology, University of Bern, 3012 Bern, Switzerland. · Institute of Neuroinformatics, University of Zurich and ETH Zurich, 8057 Zurich, Switzerland. · Catlab Engineering GmbH, 82284 Grafrath, Germany.

  46. A Gradient-based yet Spike-Timing-Dependent Solution to the Feedback Learning Problem in Neural Microcircuits

    Date pendingXiangnan Zhang, Jingxin Liu, Ranqi Lu +6Neural ProcessesTemporal Credit Assignment

    School of Future Technologies, Beijing Institute of Technology, Beijing, 100081, China. · Key Laboratory of Brain Health Intelligent Evaluation and Intervention (Beijing Institute of Technology), Ministry of Education, Beijing, 100081, China. · School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China. +5