Neural Representations

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Period ending 2026-09-14

2 new papers

A weekly snapshot of new work published in Neural Representations.

Period ending 2026-09-07

2 new papers

A weekly snapshot of new work published in Neural Representations.

69 papers

Latest in Neural Representations

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  1. PIC: Revisiting INR for Image Coding with Fast Encoding and Sub-Millisecond Decoding

    Sep 8, 2026Xiang Liu, Jinxiang Wang, Bin Chen +5Image ReconstructionImplicit Neural Representations

  2. Certified Topological Interaction in Neural Representations: Class Disentanglement Is Mostly Pairwise

    Sep 8, 2026Sushovan MajhiDisentanglementSeparability

  3. Vision Models Predict Urban Scene Appraisal with Limited Neural Alignment

    Aug 31, 2026Kaizhen Tan, Yuantao DengNeural RepresentationsVision Foundation Models

  4. Evaluation Resolution Confounds Learning-Rule Comparisons in Model-Brain RSA of Early Visual Cortex

    Aug 11, 2026Nils LeuteneggerHuman Visual CortexNeural Representations

  5. Iterative Erasure Count Is Not an Affine-Invariant Concept Dimension

    Aug 11, 2026Tingan Jin, Shuhang Dong, Haosong Li +1Intrinsic DimensionalityConcept Erasure

  6. ChaosProbe: A Neurochaotic Lens on Frozen Transformer Input-Embedding Spaces

    Aug 3, 2026Kunal Kumar Pant, Nithin NagarajDistributional SignaturesNeural Representations

  7. CORTIVA: Candidate-Score Fusion of Complementary Visual Teachers for EEG- and MEG-to-Image Retrieval

    Aug 2, 2026Junhan Wang, Kani ChenElectroencephalogramHuman Visual Cortex

  8. Cross-Anesthetic ECoG State Decoding Fails at the Decision Threshold, Not the Representation

    Jul 31, 2026Kunkun Zhang, Qianwei ZhouElectroencephalogramArea Under The Receiver Operating Characteristic Curve

  9. Neural Representation of Minimal Surfaces

    Jul 26, 2026Jiayin Sun, Albert ChernNeural RepresentationsNeural Fields

  10. Neural solutions of coupled ghost and gluon Dyson--Schwinger equations in Landau gauge

    Jul 23, 2026Rodrigo Carmo TerinEffective Field TheoryNeural Representations

  11. Lossless-INR: Lossless Volumetric Implicit Neural Representations

    Jul 20, 2026Kaiyuan Tang, Daniel Burke, Chaoli WangImplicit Neural RepresentationsVolume

  12. Measuring Monosemanticity in Sparse Autoencoders via Latent Activation Coherence

    Jul 20, 2026Katarzyna Filus, Sebastian PokucińskiSparse AutoencodersMechanistic Interpretability

  13. How to Tame Grokking: Representation Geometry as a Control Signal

    Jul 13, 2026Maksim A KazanskiiGrokkingNeural Representations

  14. Enhancing Query Efficiency for d-DNNF Representations Through Preprocessing

    Jul 13, 2026Jean Marie Lagniez, Emmanuel LoncaPreprocessingLogic

  15. From Neural Network Decisions to Training Cases: An Exact Account via Case-Based Decision Theory

    Jul 13, 2026Manli Yan, Yuebin Lin, Yaowen Yu +1DecisionsFeature Attribution

  16. Emergent Generalization by Representation Learning in Artificial Neural Networks

    Jul 11, 2026Hardik Rajpal, Dan GoodmanNeural RepresentationsArtificial Neural Networks

  17. Texture Representations in Deep Vision Models: Comparing CNNs, Vision Transformers, and Human Perception

    Jul 9, 2026Ludovica de Paolis, Marco Baroni, Alessandro Laio +1Vision Foundation ModelsConvolutional Neural Networks

  18. Language Models Represent and Transform Concepts with Shared Geometry

    Jul 5, 2026Zhimin Hu, Lanhao Niu, Sashank VarmaNeural RepresentationsProtein Language Model

  19. Geometric Reliability of Neural Population Codes: Sampling Calibration and Within-Session Nonstationarity

    Jun 28, 2026Prashant C. RajuNeural RepresentationsRelevance

  20. What Does the Brain See? Multiview Neural Representations to Demystify the Brain-Visual Alignment

    Jun 24, 2026Salini Yadav, Taveena Lotey, Pravendra Singh +1ElectroencephalogramBrain

  21. Geometric and Information Compression of Representations in Deep Learning

    Jun 19, 2026Linara Adilova, Henning Petzka, Asja Fischer +1Information BottleneckMutual Information

  22. NeSyCat Torch: A Differentiable Tensor Implementation of Categorical Semantics for Neurosymbolic Learning

    Jun 17, 2026Daniel Romero Schellhorn, Till Mossakowski, Björn GehrkeNeurosymbolic ApproachInductive Logic Programming

  23. The Importance of Phase in Neural Representations: An Internal Oppenheim-Lim Test of Image Classifiers

    Jun 15, 2026Alper YıldırımImage ClassificationNeural Representations

  24. AI Engram: In Search of Memory Traces in Artificial Intelligence

    Jun 12, 2026Jea Kwon, Dong-Kyum Kim, Jiwon Kim +3Associative MemoryBiological Memory

  25. Kuramoto Attention: Synchronizing Self-Attention on the Torus

    Jun 10, 2026Joshua NunleySelf-Attention MechanismNeural Representations

  26. Encoding the Euler Characteristic Transform

    Jun 9, 2026Nello Blaser, Odin Hoff Gardaa, Lars M. Salbu +2Neural RepresentationsConvolutional Neural Networks

  27. Trajectory Geometry of Transformer Representations Across Layers

    Jun 8, 2026Vishal Pandey, Gopal Singh, Yacine MahdidNeural RepresentationsMechanistic Interpretability

  28. Beyond Neural Collapse: Task-Intrinsic Geometry Governs Neural Representations in Modular Arithmetic

    Jun 8, 2026Hu Tan, Kuo Gai, Shihua ZhangNeural CollapseNeural Representations

  29. A Geometric Measure of Linear Separability for Neural Representations

    Jun 7, 2026Yi Wei, Xuan Qi, Furao ShenSeparabilityNeural Representations

  30. A Geometric View for Understanding Concept Learning and Neuron Interpretation in Sparse Autoencoders

    Jun 5, 2026Chenhao Zhang, Chris Lin, Su-In LeeSparse AutoencodersNeural Representations

  31. Interpreting Brain Responses to Language with Sparse Features from Language Models

    Jun 5, 2026Michael A. Lepori, Kendrick Kay, Greta TuckuteProtein Language ModelLinguistics

  32. Symmetric Divergence and Normalized Similarity: A Unified Topological Framework for Representation Analysis

    Jun 4, 2026Yan Wang, Tianyang HuTopologyBregman Divergences

  33. Catastrophic Forgetting as Accessibility Collapse: A Three-Level Framework for Knowledge Persistence in Continual Learning

    Jun 4, 2026Ayushman Trivedi, Bhavika MelwaniCatastrophic ForgettingContinual Learning

  34. Quadratic integrate-and-fire neurons exhibit less fragmented loss landscapes and outperform leaky integrate-and-fire neurons in spike-based gradient descent

    Jun 2, 2026Carlo Wenig, Raoul-Martin Memmesheimer, Christian KlosSpiking Neural NetworksNeuromorphic Hardware

  35. Neural Networks Provably Learn Spectral Representations for Group Composition

    Jun 2, 2026Jianliang He, Leda Wang, Fengzhuo Zhang +2Neural RepresentationsValue Alignment

  36. Learning Coherent Representations: A Topological Approach to Interpretability

    Jun 1, 2026Sigurd Gaukstad, Melvin Vaupel, Valdemar Kargård Olsen +2Neural RepresentationsModel Interpretability Methods

  37. Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data

    May 29, 2026Haoan Feng, Xin Xu, Leila De FlorianiImplicit Neural RepresentationsNeural Representations

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

    May 28, 2026Nils LeuteneggerHuman Visual CortexNeural Representations

  39. A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity

    May 28, 2026Yousef A. Radwan, Xuhui Liu, Kilichbek Haydarov +2ElectroencephalogramNeural Representations

  40. MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding

    May 23, 2026Zexuan Chen, Sichao Liu, Runhao Lu +4ElectroencephalogramNeural Recordings

  41. Stimulus symmetries can confound representational similarity analyses

    May 20, 2026Farhad Pashakhanloo, Jacob A. Zavatone-VethNeural RepresentationsSymmetry

  42. Representability-Aware Neural Networks for Reduced Density Matrices: Application to Fractional Chern Insulators

    May 19, 2026Justin B. Hart, Awwab A. Azam, Thomas Li +4Quantum Topological PhasesMany-Body Physics

  43. Efficient coding along the visual hierarchy

    May 18, 2026Ananya Passi, Brian S. Robinson, Michael F. BonnerHuman Visual CortexVisual Representation Learning

  44. Visualizing the Invisible: Generative Visual Grounding Empowers Universal EEG Understanding in MLLMs

    May 18, 2026Jun-Yu Pan, Yansen Wang, Enze Zhang +3ElectroencephalogramExplicit Visual Grounding

  45. PySIFT: GPU-Resident Deterministic SIFT for Deep Learning Vision Pipelines

    May 18, 2026Sivakumar K. S., Mohammad Daniyalur Rahman, Gopi Raju MattaComputer VisionCuda

  46. From Layers to Networks: Comparing Neural Representations via Diffusion Geometry

    May 15, 2026Atharva Khandait, Jan E. GerkenNeural RepresentationsGeometric Machine Learning

  47. Mechanistically Interpretable Neural Encoding Reveals Fine-Grained Functional Selectivity in Human Visual Cortex

    May 15, 2026Idan Daniel Grosbard, Mor Geva, Galit YovelHuman Visual CortexVisual Perception

  48. How Data Augmentation Shapes Neural Representations

    May 14, 2026Tianxiao He, Alex H. Williams, Sarah E. HarveyNeural RepresentationsData Augmentation

  49. Characterizing Universal Object Representations Across Vision Models

    May 13, 2026Florian P. Mahner, Johannes Roth, Ka Chun Lam +3Vision Foundation ModelsNeural Representations

  50. Deep Minds and Shallow Probes

    May 12, 2026Su Hyeong Lee, Risi KondorNeural RepresentationsHidden States

  51. Oversmoothing as Representation Degeneracy in Neural Sheaf Diffusion

    May 11, 2026Arif Dönmez, Axel Mosig, Ellen Fritsche +1SheafGraph Laplacians

  52. The Wittgensteinian Representation Hypothesis: Is Language the Attractor of Multimodal Convergence?

    May 10, 2026Zhaoyang Zhang, Run Shao, Dongyue Wu +4Multimodal LearningNeural Representations

  53. PIMSM: Physics-Informed Multi-Scale Mamba for Stable Neural Representations under Distribution Shift

    May 8, 2026Sangyoon Bae, Shinjae Yoo, Jiook ChaTime Series Foundation ModelsWireless Foundation Models

  54. TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations

    May 7, 2026Maria Despoina Siampou, Gengchen Mai, Ni Lao +4Cross-View Geo-LocalizationIdeatrail

  55. Topological Signatures of Grokking

    May 7, 2026Yifan Tang, Qiquan Wang, Inés García-Redondo +1Persistent HomologyNeural Representations

  56. Extremely coarse learning objectives induce human-aligned representations in AI vision models

    May 7, 2026Yash Mehta, Michael F. BonnerVisual Representation LearningNeural Representations

  57. Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior

    May 6, 2026Daniel Wurgaft, Can Rager, Matthew Kowal +13Neural RepresentationsRepresentational Geometry

  58. Beyond Activation Alignment: The Geometry of Neural Sensitivity

    May 4, 2026Amirhossein Yavari, Farnaz Zamani EsfahlaniNeural Representations

  59. A framework for analyzing concept representations in neural models

    May 2, 2026Burin Naowarat, Hao Tang, Sharon GoldwaterNeural RepresentationsNeural Model

  60. DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction

    Apr 23, 2026Shiyan Su, Ruyi Zha, Danli Shi +23D Latent Diffusion ModelComputed Tomography