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15 papers in the last four weeks, up 67% on the four weeks before. 0.2% of all new papers.

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Latest papers 156

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I-BBS: Coordinate-Free Inference of Latent Sub-Manifolds Using Random Distance Matrix Theory
Jun 29, 2026Igor HalperinData Manifold Distance
What Color is the Sky (for a non-human) ?
Jun 27, 2026Yair Weiss, Ofer SpringerEarth Spectral
School of Computer Science and Engineering and Edmond and Lili Safra Center for Brain Research, Hebrew Univesity of Jerusalem · School of Computer Science and Engineering, Hebrew Univesity of Jerusalem
From Dataset Spectral Geometry to Network Weights: A Geometry-Aware Initialization for Sigmoidal MLPs in Image Classification
Jun 26, 2026Yi-Shan ChuMultilayer Perceptrons Model Weights
Institute of Statistical Science, Academia Sinica, Taipei, Taiwan (R.O.C.)
Aurora: A Leverage-Aware Spectral Optimizer
Jun 26, 2026Alec Dewulf, Dhruv Pai, Li Yang +2Muon Batch Normalization
Tilde Research
Can Aggregate Invariants Accelerate Continuous Subgraph Matching? Limits, Laws, and a Dynamic Spectral Index
Jun 23, 2026Minghao Chen, Jiale ZhengSubgraphs Graph Laplacians
Tencent Technology Shenzhen, China · HUAWEI Noah’s Ark Lab Shenzhen, China
Spectral Evolution-Guided Token Pruning in Multimodal Large Language Models
Jun 23, 2026Bin Chen, Yuxiang Cai, Yadan Luo +3Visual Token Pruning Cross-Modal Attention
School of Software Technology, Zhejiang University, Ningbo, China · Zhejiang Key Laboratory of Digital-Intelligence Service Technology, China · The University of Queensland, St Lucia, QLD, Australia +2
Uniform Sampling from High-dimensional Spectral Norm Balls
Jun 23, 2026Michael R. MetelSpectral Norm Singular Value Decomposition
From Spatial to Spectral: An Efficient, Frequency-Guided Feature Representation Learner for Small Object Detection
Jun 22, 2026Yuhan Rui, Shihan Qiao, Yibin Lou +7Feature Pyramid Feature Learning
Southern University of Science and Technology, Shenzhen, China · University of Pennsylvania
Differential Spectral Damping Gap Adaptive Regularization for Ill-Conditioned Kernel Methods
Jun 22, 2026Praveg VashishthaKernel Method Singular Value Decomposition
Department of Computer Science and Engineering, Indian Institute of Technology Patna, India · Sopra Banking Software India
The Fractal Neural Operator: Overcoming Spectral Bias in Chaotic Attractors via Prime-Harmonic Weierstrass Encodings
Jun 22, 2026Kanishk AwadhiyaFourier Neural Operators Chaos
Independent Researcher
Few-Shot Hyperspectral Aphid Detection via FastGAN Synthetic Data Generation, Transformer-Based Classification and Explainable AI
Jun 19, 2026Ali SaeidanLeaf Disease Classification Hyperspectral Image
Lancaster Medical School, Faculty of Health and Medicine, Lancaster University, Lancaster LA1 4YG, United Kingdom
Spectral GS-SLAM: Observability-Aware, Degeneracy-Robust Tracking for Real-Time 3D Gaussian Splatting SLAM
Jun 19, 2026Edward Beng Wai Tan, Siew-Kei Lam, Dongshuo ZhangGaussian Splatting Simultaneous Localization And Mapping Systems Rgb-Depth Cameras
College of Computing and Data Science, Nanyang Technological University, Singapore.
FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification
Jun 18, 2026Xuanhao Qi, Tom H. Luan, Yukang Zhang +4Re-Identification Graph-Coherent Low-Frequency Ones
School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China · School of Informatics, Xiamen University, Xiamen, China · National University of Singapore, Singapore
Spectral Retrieval-Augmented Time-Series Forecasting
Jun 17, 2026Huu Hiep Nguyen, Minh Hoang Nguyen, Dung Nguyen +1Spectral History
Applied Artificial Intelligence Initiative Deakin University Geelong, Australia
Thermodynamic Signatures of Reasoning: Free-Energy and Spectral-Form-Factor Diagnostics for Hallucination Detection in Large Language Models
Jun 17, 2026Salim KhazemHallucination Detection Spectral
Talan Research & Innovation Center
SpectralDiT: Timestep-Conditioned Spectral Residual Correction for Flow-Matching DiTs
Jun 17, 2026Jiayu TianDiffusion Transformers Spectral
Peking University
Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data
Jun 14, 2026Jeffery Opoku, David BanaheneOnline Conformal Prediction Spectral
aUniversity of Texas Rio Grande Valley, United States · bFlorida International University, United States
Machine Learning for Biomedical Raman Spectroscopy: From Spectral Acquisition to Clinical Translation
Jun 12, 2026Bogdan Oancea, Ana Maria Seciu-Grama, Nicoleta Siminea +10Raman Biomarker
National Institute of Research and Development for Biological Sciences, Romania · University of Bucharest, Romania · University of Turku, Finland +1
XRDiff: Crystal Structure Prediction from Powder X-Ray Diffraction Data Using Diffusion Models
Jun 12, 2026Nofit Segal, Mingda Li, Benjamin Kurt Miller +1Powder X-Ray Diffraction Crystal Structure Prediction
Department of Materials Science and Engineering, MIT, Cambridge, MA, USA. · Department of Nuclear Science and Engineering, MIT, Cambridge, MA, USA. · FAIR, Meta, San Francisco, CA, USA.
Muon $^p$ : Muon with Fractional Spectral Powers
Jun 11, 2026Yihe Dong, Will SawinMuon Spectral
Princeton University
Recursively Trained Diffusion Models: Limiting Collapse Distribution and Spectral Characterization
Jun 11, 2026Naïl B. Khelifa, Richard E. Turner, Ramji VenkataramananDiffusion Models Gaussian Mixture Models
University of Cambridge
A Zero-shot Generalized Graph Anomaly Detection Framework via Node Reconstruction
Jun 10, 2026Phan Nguyen, Dat Cao, Hien Chu +1Generalist Graph Anomaly Detection Graph Anomaly Detection
School of Computing, KAIST
Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records
Jun 10, 2026Feiqing Huang, Zongqi Xia, Rong Ma +1Rare Disease Electronic Health Records
Department of Biostatistics, Harvard T.H. Chan School of Public Health · Department of Neurology, University of Pittsburgh · Department of Data Science, Dana-Farber Cancer Institute +1
Content-Induced Spatial-Spectral Aggregation Network for Change Detection in Remote Sensing Images
Jun 9, 2026Yunlong Liu, Zekai ZhangTwo-Level Spatial-Frequency Fusion Strategy Remote Sensing
School of Control Science and Engineering, Shandong University, Ji’nan 250061, China
The Spectral Dynamics and Noise Geometry of Muon
Jun 7, 2026Pierfrancesco Beneventano, Mahmoud Abdelmoneum, Tomaso PoggioMuon Spectral
Massachusetts Institute of Technology
Frequency-Domain Latent Attention Gating for Cross-Domain Token Aggregation
Jun 6, 2026Kewei Li, Rongying Zhang, Xueli Wang +5Gating Spectral
College of Computer Science and Technology, Jilin University, Changchun, 130012, China. · Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, 130012, China. · Institute for Quantitative and Computational Biology, University of California, Los Angeles, 90024, United States of America. +2
Adaptive Band Selection for Hyperspectral Classification with Spatially Disjoint Evaluation
Jun 4, 2026Ikram El-Hajri, Ouassim Karrakchou, Alejandro MousistHyperspectral Image Spectral
International University of Rabat, Rabat, Morocco · Thales Alenia Space, Spain
Jacobi-Anger Method for Deterministic Initialization in Implicit Neural Representation
Jun 4, 2026Mohammed Alsakabi, Kejia Hu, John M. Dolan +1Neural Representations Spectral
Department of Electrical and Computer Engineering, College of Engineering · The Robotics Institute, School of Computer Science Carnegie Mellon University, Pittsburgh, PA, USA
Deep Embedded Multiplicative DMD for Algebra-Preserving Koopman Learning
Jun 3, 2026Kelan Gray, Finlay Brown, Nicolas Boullé +1Koopman Operator Dynamic Mode Decomposition
Department of Mathematics, Imperial College London, London, SW7 2AZ, UK. · Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, CB3 0WA, UK.
Beyond Symmetric Alignment: Spectral Diagnostics of Modality Imbalance in Vision-Language Models in the Medical Domain
Jun 3, 2026Alessandro Gambetti, Qiwei Han, Cláudia Soares +1Medical Vision-Language Models Vision-Language Alignment
NOVA School of Science and Technology · Lisbon, Portugal · Nova School of Business and Economics +2
Beyond Compression: Quantifying Spectral Accessibility in Vision Representations
Jun 2, 2026Akayou A. Kitessa, Yijun ZhaoVision Encoders Spectral
Fordham University New York City, NY
What Makes a Strong Model? A Unified Spectral Analysis of Knowledge Transfer over High-dimensional Linear Regression
May 31, 2026Wendao Wu, Fangqing Zhang, Haihan Zhang +1Cross-Task Knowledge Transfer Knowledge Distillation
State Key Lab of General AI, School of Intelligence Science and Technology, Peking University, China · School of Mathematical Sciences, Peking University, China
A Per-Component Diagnostic Protocol for Neural HJB-PIDE Solvers under Control-Dependent Lévy Jumps
May 31, 2026R. DrissiNeural Solvers Hamilton-Jacobi Reachability
Modeling Spectral Energy Shifts in Spatio-Temporal Graph Anomaly Detection
May 29, 2026Yilin Liu, Hongchao Zhang, Taylor T. Johnson +2Generalist Graph Anomaly Detection Spectral
College of Connected Computing, Vanderbilt University, Nashville, USA · Department of Civil and Environmental Engineering, Electrical and Computer Engineering, Vanderbilt University, Nashville, USA
Neural Radiated-Noise Fields for Unmanned Underwater Vehicle Noise Spectrum Prediction in Three-Dimensional Scenes
May 29, 2026Yan Wu, Yang Yang, Jun Fan +1Autonomous Underwater Vehicles Radio Map Estimation
Key Laboratory of Marine Intelligent Equipment and System, Ministry of Education, Shanghai Jiaotong University, Shanghai 200240, PR China
Spectral Reach: Understanding Neural Scaling as Progress into the Spectral Tail
May 29, 2026Konstantin Nikolaou, Jonas Scheunemann, Sven Krippendorf +2Scaling Laws Neural Tangent Kernel
Institute for Computational Physics, University of Stuttgart, Stuttgart, Germany · Department of Applied Mathematics and Theoretical Physics and Department of Physics, University of Cambridge, Cambridge, UK
Spectral Anatomy of Quantum Gaussian Process Kernels
May 29, 2026Jian Xu, Chao Li, Guang Lin +4Quantum Kernels Gaussian Process
1RIKEN iTHEMS · 2RIKEN AIP · 3South China University of Technology +1
Implicit Regularization in Perturbed Deep Matrix Factorization: Spectral Conditions and Stability
May 27, 2026Jingzhe Wang, Hung-Hsu ChouLow-Rank Structure Restricted Bernoulli Matrix Factorization
Department of Informatics and Networked Systems, University of Pittsburgh · Department of Mathematics, University of Pittsburgh
Quantum principal component analysis without eigenvector recovery
May 27, 2026Yewei Yuan, Michele Minervini, Mark M. Wilde +1Principal Component Analysis Spectral Decomposition
Global College, Shanghai Jiao Tong University, Shanghai 200240, China · School of Electrical and Computer Engineering, Cornell University, Ithaca, New York 14850, United States · Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai 200240, China +1
Can Entry-Wise Clipping Give Spectral Control of Stochastic Gradients?
May 26, 2026Zitao Song, Cedar Site Bai, Zhe Zhang +2Gradient Clipping Stochastic Gradient Descent
Department of Computer Science, Purdue University, West Lafayette, IN, USA. · School of Industrial Engineering, Purdue University, West Lafayette, IN, USA.
The Stability of Singular Distribution: A Spectral Perspective on the Two-Phase Dynamics of Language Model Pre-training
May 26, 2026Hongtao Zhang, Wenjie Zhou, Chenxi Jia +2Large Language Model Pretraining Pretraining
State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China · School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, China · University of Chinese Academy of Sciences, Beijing, China +1
Influence-Inspired Spectral Rotations for Extreme Low-Bit LLM Quantization
May 24, 2026Gorgi PavlovLarge Language Model Quantization Model Weights
Lehigh University
A computational phase transition for learning-to-sample from Ising models
May 23, 2026Andrej Risteski, Thuy-Duong VuongSpatial Photonic Ising Machines Phase Transitions
Machine Learning Department, Carnegie Mellon University. · Department of Computer Science and Engineering, UC San Diego.
BitsMoE: Cost-Aware Bit Allocation in Spectral Space for MoE LLM Quantization
May 22, 2026Jiayu Zhao, Zihan Teng, Minhao Fan +4Large Language Model Quantization Localized Lora-Moe
School of Microelectronics, University of Science and Technology of China · College of Computing and Data Science, Nanyang Technological University · School of Electrical and Electronic Engineering, Nanyang Technological University
Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers
May 22, 2026Yongzhong XuTransformer Attention Transformer Architectures
Energy-Gated Attention: Spectral Salience as an Inductive Bias for Transformer Attention
May 21, 2026Athanasios ZerisTransformer Attention Token Embeddings
Independent Researcher, Athens, Greece.
HyperBench: Standardizing and Scaling Synthetic Evaluation for Hyperspectral Super-Resolution
May 20, 2026Ritik Shah, Marco F. DuarteHyperspectral Image Super-Resolution Signal Reconstruction
University of Massachusetts Amherst, MA 01003
Detecting Trojaned DNNs via Spectral Regression Analysis
May 20, 2026Samuele Pasini, Jinhan Kim, Paolo TonellaMalware Unsupervised Detection
Università della Svizzera Italiana, Switzerland · Università della Svizzera italiana, Switzerland
Spectral Souping: A Unified Framework for Online Preference Alignment
May 19, 2026Yinlam Chow, Guy Tennenholtz, Ted Yun +4Preference Alignment Reinforcement Learning From Human Feedback
Google DeepMind · Google Research
LionMuon: Alternating Spectral and Sign Descent for Efficient Training
May 19, 2026Arman Bolatov, Artem Riabinin, Nikita Kornilov +4Muon Descent
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) · Basic Research of Artificial Intelligence Laboratory (BRAIn Lab) · Applied Artificial Intelligence Institute +1
Spectral Unforgetting: Post-Hoc Recovery of Damaged Capabilities Without Retraining
May 19, 2026Aarash Abro, Muhammad TahirCatastrophic Forgetting Model Fine-Tuning
Zeta Labs · Lahore University of Management Sciences
Geometric Dictionary Learning of Dynamical Systems with Optimal Transport
May 18, 2026Thibaut Germain, Sami Chemlal, Rémi Flamary +2Dynamical Systems Learning Dynamics
CMAP, Ecole Polytechnique · Istituto Italiano di Tecnologia & University of Novi Sad
How does feature learning reshape the function space?
May 18, 2026João Lobo, Bruno Loureiro, Long Tran-Than +1Feature Learning Two-Layer Neural Networks
Department of Computer Science, University of Warwick, United Kingdom · Departement d’Informatique, École Normale Supérieure, PSL & CNRS · School of Mathematical Sciences, Institute of Natural Sciences and MOE-LSC, Shanghai Jiao Tong University, China. Part of work was done at Department of Computer Science, and Centre for Discrete Mathematics and its Applications (DIMAP), University of Warwick, United Kingdom
Olivia: Harmonizing Time Series Foundation Models with Power Spectral Density
May 17, 2026Jingru Fei, Kun Yi, Alex Xing Wang +3Time Series Foundation Models Time Series
Beijing Institute of Technology · North China Institute of Computing Technology · State Information Center +4
SpecSem-Net: Integrating Spectral and Semantic Features for Robust AI-generated Video Detection
May 17, 2026Zixi Wei, Huixuaun Zhang, Xiaojun WanAi-Generated Video Detection Generative Video Models
Wangxuan Institute of Computer Technology, Peking University
DynMuon: A Dynamic Spectral Shaping View of Muon
May 16, 2026Fangzhou Wu, Rikhav Shah, Sandeep Silwal +1Muon Spectral
University of Wisconsin–Madison · MIT · Elorian AI
LDGuid: A Framework for Robust Change Detection via Latent Difference Guidance
May 15, 2026Jiaxuan Zhao, Ali BereyhiChange Detection Deep Learning
University of Toronto
Beyond Perplexity: A Geometric and Spectral Study of Low-Rank Pre-Training
May 13, 2026Namrata Shivagunde, Vijeta Deshpande, Sherin Muckatira +1Low-Rank Structure Language Model Perplexity
University of Massachusetts Lowell
Phy-CoSF: Physics-Guided Continuous Spectral Fields Reconstruction and Super-Resolution for Snapshot Compressive Imaging
May 13, 2026Wudi Chen, Zhiyuan Zha, Xin Yuan +6Signal Reconstruction Hyperspectral Image
College of Communication Engineering, Jilin University, Changchun 130012, China. · School of Engineering, Westlake University, Hangzhou, Zhejiang 310024, China. · School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798. +4
CoRe-Gen: Robust Spectrum-to-Structure Generation under Imperfect Fingerprint Conditions
May 13, 2026Tianbo Liu, Chixiang Lu, Jing Hao +4Tandem Mass Spectra Molecules
The University of Hong Kong · The Chinese University of Hong Kong · Zhejiang Shuren University

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I-BBS: Coordinate-Free Inference of Latent Sub-Manifolds Using Random Distance Matrix Theory

Igor Halperin

Data Manifold Distance Spectral Theory

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Bogomolny, Bohigas and Schmit (BBS) found that the spectrum of the pairwise distance matrix on N points sampled from a smooth d-dimensional manifold encodes a signature of the underlying geometry. We develop I-BBS (Inference-BBS), a coordinate-free method that identifies a low-dimensional latent sub-manifold embedded in a high-dimensional ambient distance matrix alone, without accessing an ambient high-dimensional vector space. It therefore applies even when that space is only partly observable or undefined. We model the ambient embedding by two classes of generative noise, model-based and model-free. The noise mixes the latent signal with off-manifold components, so the eigenvalues reorganise collectively and the latent geometry cannot be read off eigenvalue by eigenvalue. We recover it instead from two integer-stable signatures that survive the noise: the multiplicity of the top non-Perron multiplet, which fixes

d

, and a parameter-free law for how the multiplet positions shrink as the noise grows. On synthetic spheres

S^1

S^2

and

S^3

these integer signatures are far more stable under noise than the continuous spectral slope, and a blind test recovers both the manifold and the noise model from a single distance matrix. Applications to neural-network representations and to the dynamic training regime are developed in two companion papers.

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