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38 papers in the last four weeks, up 111% on the four weeks before. 0.5% of all new papers.

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fTNN: a tensor neural network for fractional PDEs
Jun 25, 2026Qingkui Ma, Hehu Xie, Xiaobo YinFourier Neural Operators Partial Differential Equations
School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Wuhan 430079, China · SKLMS, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, No.55, Zhongguancun Donglu, Beijing 100190, China · School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China +1
SA-LIVO: Efficient LiDAR-Inertial-Visual Odometry with Subspace-Aware Degeneracy Handling
Jun 24, 2026Yinong Cao, Xin He, Yuwei Chen +3Robust Lidar-Inertial Odometry Subspace
Key Laboratory of Space Active Opto-Electronics Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China. · Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, China.
Neural Network Quantization by Learning Low-Loss Subspaces
Jun 23, 2026Vladimir Protsenko, Mikhalina Kharkevich, Alexander Vashchilko +1Subspace Anisotropic Loss Landscapes
Huawei, Montreal, Canada
T-VSS: Test-Time Visual Subspace Steering for Adversarial Robustness of Vision-Language Models
Jun 22, 2026Jaehyuk Jang, Minseok Seo. Seungju Cho, Kangwook Ko +1Vision-Language Model Adaptation Test-Time Adaptation
School of Electrical Engineering, KAIST
OrthoMotion:Disentangling Camera and Subject Motion via Geometry Semantics Orthogonal Attention
Jun 22, 2026Zijie MengCamera Control Camera-Conditioned Video Generation
Peking University, China
Subspace-Constrained Federated Learning with Low-Rank Adaptation
Jun 21, 2026Neranjan Senarath, Rohit Muralitharan, Sadia AsifFederated Learning Subspace
Department of ECSE Rensselaer Polytechnic Institute Troy, NY 12180, USA · Department of Computer Science Rensselaer Polytechnic Institute Troy, NY 12180, USA
NullFlow: One-Step Generative Reconstruction
Jun 21, 2026Xiao Shi, Edward P. Chandler, Chicago Y. Park +2Generative Flow Networks Inpainting
Computational Imaging Group (CIG) · Washington University in St. Louis
AgentLens: Interpretable Safety Steering via Mechanistic Subspaces for Multi-Turn Coding Agent
Jun 21, 2026Weidi Luo, Qiming Zhang, Yihao Quan +5Large Language Model Safety Mechanistic Interpretability
University of Georgia · University of South Florida · 3Rutgers University +3
MAPS: Multi-Anchor Projection Similarity for Joint Vision-Language Geo-Localization
Jun 21, 2026Yutong Hu, Siyuan Tan, Shaocheng Yan +3Cross-View Geo-Localization Vision-Language Alignment
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Asymptotic Signal Subspace Recovery in Softmax Attention Models
Jun 21, 2026Lan V. TruongSubspace Dynamical Systems
Faculty of Computer Science and Engineering Ho Chi Minh City University of Technology (HCMUT) · Vietnam National University Ho Chi Minh City (VNU-HCM), Vietnam
Essential Subspace Merging for Multi-Task Learning
Jun 17, 2026Longhua Li, Lei Qi, Xin Geng +1Continual Model Merging Multi--Task Learning
School of Computer Science and Engineering, Southeast University, and Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China, 211189 · Huawei Inc., Shenzhen 518129, China
Dual-Channel Grounded World Modeling (DCGWM): Structural Prevention of Objective Interference Collapse via Heterogeneous External Grounding with Inward-Only Gradient Flow
Jun 17, 2026Akshay HazareWorld Models Joint-Embedding Predictive Architectures
Independent Researcher
Moving Beyond Diversity: Visual Token Pruning as Subspace Reconstruction for Efficient VLMs
Jun 17, 2026Jaeyeon Lee, Shunjie Wen, Dong-Wan ChoiVisual Token Pruning Recent Vision-Language Models
Inha University
Learning task-specific subspaces via interventional post-training of speech foundation models
Jun 16, 2026Jack Cox, Jon BarkerContrastive Learning Subspace
University of Sheffield, United Kingdom
TIGER: Inverting Transformer Gradients via Embedding-Subspace Distance Optimization
Jun 16, 2026William Kalikman, Ivo Petrov, Dimitar I. Dimitrov +1Gradient-Based Attacks Federated Learning
ETH Zürich · INSAIT, Sofia University "St. Kliment Ohridski"
AoiZora: Topology-Aware Auto-Parallel Optimization for Inference of Diffusion Transformers
Jun 16, 2026Kaijian Wang, Yuanyuan Xu, Fanjiang Ye +5Video Diffusion Models Shard
Rice University · Independent Researcher · Google
A Mechanistic Understanding of Pronoun Fidelity in LLMs
Jun 15, 2026Katharina Trinley, Jesujoba O. Alabi, Dietrich Klakow +1Large Language Model Alignment Fidelity
Saarland University, Germany · Heidelberg Institute for Theoretical Studies, Germany
Mixtures of Subspaces for Bandwidth Efficient Context Parallel Training
Jun 15, 2026Sameera Ramasinghe, Ajanthan Thalaiyasingam, Hadi Mohaghegh Dolatabadi +5Large Language Model Compression Efficient Long-Context Inference
Pluralis Research
Stochastic trace estimation with tensor train random vectors
Jun 14, 2026Zvonimir Bujanović, Daniel Kressner, Hrvoje OlićOptimal Sample Complexity Gaussian Primitives
University of Zagreb, Faculty of Science, Department of Mathematics, Croatia. · Institute of Mathematics, EPFL, Switzerland.
A Low-Rank Subspace Analysis of LLM Interventions
Jun 12, 2026Angira Sharma, Christian Schroeder de Witt, Philip Torr +2Latent Feature Interventions Subspace
University of Oxford
Robust Auto-associative Memory via Convolutional Restricted Hopfield Networks
Jun 11, 2026Ci Lin, Tet Yeap, Iluju KiringaDense Associative Memory Hopfield Networks
Electrical Engineering and Computer Science University of Ottawa
Is Spurious Correlation Removal Always Learnable?
Jun 11, 2026Yibo Zhou, Bo Li, Hai-Miao Hu +3Equivariant Learning Spurious Correlations
Beijing Key Laboratory of Digital Media, School of Computer Science and Engineering, Beihang University, Beijing 100191, China · State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China · Hangzhou Innovation Institute of Beihang University, Hangzhou 310051, China +1
Unstable Features, Reproducible Subspaces: Understanding Seed Dependence in Sparse Autoencoders
Jun 10, 2026Gleb Gerasimov, Timofei Rusalev, Nikita Balagansky +3Improving Sparse Autoencoders Feature Learning
T-Tech
Learning Instance-Adaptive Low-Rank Orthogonal Subspaces for Clothes-Changing Person Re-Identification
Jun 10, 2026Dong-Woo Kim, Tae-Kyun KimRe-Identification Avatar Reconstruction
School of Computing, KAIST, Daejeon, South Korea.
Recursive Binding on a Budget: Subspace Carving in Order-p Tensor Memories
Jun 9, 2026Travis Pence, Daisuke Yamada, Vikas SinghSubspace Recursive Models
Department of Computer Science, University of Wisconsin-Madison, United States · Department of Biostatistics and Med. Info., University of Wisconsin-Madison, United States
SSR-Merge: Subspace Signal Routing for Training-Free LoRA Merging in Diffusion Models
Jun 9, 2026Zhengxuan Wei, Yi Dong, Zonghui Li +6Subspace Diffusion Models
School of Intelligence Science and Technology, Nanjing University, China · vivo BlueImage Lab, vivo Mobile Communication Co., Ltd., China · ShanghaiTech University +2
MIRAGE: A Polarity-Flipping Encoding Subspace in LLM Agents
Jun 9, 2026Pratibha Revankar, Kargi Chauhan, Jihye Kim +3Attacker Large Language Model Large Language Model Agents
University of California, Santa Cruz.
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
Jun 8, 2026Haoran Zhang, Cainã Figueiredo Pereira, Marie Siew +3Federated Learning Gradient
Electrical and Computer Engineering Dept., The University of Texas at Austin, Austin, Texas, USA · CERI/LIA, University of Avignon, Avignon, France · Information Systems Technology and Design Pillar, Singapore University of Technology and Design, Singapore +2
STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning
Jun 7, 2026Sumin Park, Noseong ParkMixture-Of-Experts Large Language Model Routing
Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
On the Geometry of On-Policy Distillation
Jun 5, 2026Zhennan Shen, Yanshu Li, Qingyu Yin +6Subspace LLM Reasoning Strategies
1HKUST · 2Brown University · 3Zhejiang University +5
The Effect of Training Task Diversity on In-Context Learning through the Lens of Low-Dimensional Subspaces
Jun 5, 2026Soo Min Kwon, Alec S. Xu, Can Yaras +3In-Context Learning Equivariant Learning
Department of Electrical and Computer Engineering, University of Michigan · Department of Statistics, University of California, Davis
The Sharp Phase Transition of Tyler's M-Estimator for Robust Subspace Recovery
Jun 4, 2026Gilad Lerman, Teng ZhangSubspace Signal-To-Noise Ratio
School of Mathematics, University of Minnesota, Minneapolis, MN 55455 USA · Department of Mathematics, University of Central Florida, Orlando, FL 32816 USA
Learned Subspace Compression for Communication-Efficient Pipeline Parallelism
Jun 3, 2026Paul Janson, Edouard Oyallon, Eugene BelilovskySubspace Data Compression Methods
Concordia University · Mila Quebec AI Institute · CNRS, Sorbonne University
HalfNet: Randomized Neural Networks with Learned Subspace Geometry
Jun 3, 2026Ethem AlpaydinNeural Network Low-Rank Structure
Independent Researcher Istanbul, Turkey
The Geometry of LLM-as-Judge: Why Inter-LLM Consensus Is Not Human Alignment
Jun 2, 2026Sourabrata Mukherjee, Hamna Hamna, Kalika Bali +1Llm-As-A-Judge Judges
Microsoft Research
VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting
Jun 1, 2026Xudong Zhang, Jierui Lei, Jiacheng Li +3Multivariate Time Series Forecasting Latent Space
School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing 100049, China. · Center for Machine Learning Research, Peking University, Beijing, China. · Amap, Alibaba Group, China. +2
Suppressing Forgery-Specific Shortcuts for Generalizable Deepfake Detection
Jun 1, 2026Yihui Wang, Yonghui Yang, Jilong Liu +3Deepfake Detection Forgeries
Hefei University of Technology China · National University of Singapore Singapore
STaR-KV: Spatio-Temporal Adaptive Re-weighting for KV Cache Compression in GUI Vision-Language Models
Jun 1, 2026Yuhang Han, Wenzheng Yang, Yujie Chen +4Key-Value Cache Compression Graphics Processing Unit Memory
1EPIC Lab, SJTU · 2HKUST (GZ) · 3The University of Sydney +3
Mitigating Manifold Departure: Uncertainty-Aware Subspace Rectification for Trustworthy MLLM Decoding
May 31, 2026Yingxuan Zhuang, Jingxiao Yang, Miao Pan +7Contrastive Decoding Hallucination Mitigation
Ningbo Global Innovation Center, Zhejiang University
Safe-Subspace Pseudo-Label Refinement for Source-Free Graph Domain Adaptation
May 30, 2026Yingxu Wang, Xinwang Liu, Siyang Gao +1Domain Adaptation High Confidence Pseudo-Labels
Department of Computer Science and Engineering, Chinese University of Hong Kong · College of Computer, National University of Defense Technology, Changsha, 410073, China · Department of Data Science, City University of Hong Kong +1
Rethinking Bregman Divergences in Kronecker-Factored Optimizers
May 30, 2026Bing Liu, Wenjie Zhou, Chengcheng ZhaoSpectral Preconditioning Bregman Divergences
College of Control Science and Engineering, Zhejiang University · State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences
ProjQ: Project-and-Quantize for Adapter-Aware LLM Compression
May 30, 2026Wenya Yu, Chao Zhang, Li Wang +2Large Language Model Quantization Post-Training Quantization
School of Mathematics and Statistics, Central South University, Changsha, China · Department of Computer Science, Central South University, Changsha, China · CRAN, Université de Lorraine, CNRS, Nancy, France +1
Riemannian Stochastic Optimization for Sufficient Dimension Reduction
May 29, 2026Thibault Pautrel, François PortierDimensionality Reduction Riemannian Optimization
Laboratoire des Signaux et Systèmes (L2S), CentraleSupélec, Université Paris-Saclay, Gif-sur-Yvette, France · ENSAI, CREST, Bruz, France
Algorithmic Recourse of In-Context Learning for Tabular Data
May 29, 2026Wenshuo Dong, Jiaming Zhang, Shaopeng Fu +3Tabular Learning In-Context Learning
King Abdullah University of Science and Technology, Saudi Arabia · Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates · University of Copenhagen, Denmark +2
Subspace-Decomposed JEPAs: Disentangling Progression and Content in Latent World Models
May 29, 2026Lucas Thil, Jesse Read, Rim Kaddah +1Joint-Embedding Predictive Architectures Latent Prediction
LIX, École Polytechnique IRT SystemX Palaiseau, France · IRT SystemX Palaiseau, France · Safran Tech Chateaufort, France
Routing on the Stiefel Manifold: When Does Adaptive Subspace Selection Help for Cross-Domain EEG Decoding?
May 29, 2026Isabella Costa Maia, Pedro L. C. Rodrigues, Salem Said +1Domain Adaptation Electroencephalography
GIPSA-lab, University Grenoble Alpes, CNRS, Grenoble-INP · Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK · Univ. Grenoble Alpes, CNRS, Grenoble INP, LJK
Primitive Subspaces Mediate Few-Shot Transfer in VLAs
May 29, 2026Anya Singh, Cabrel Happi, Jai Relan +2Few-Shot Learning Subspace
Relling Systems
CSULoRA: Closest Safe Update Low-Rank Adaptation
May 28, 2026Oleksandr Marchenko Breneur, Adelaide Danilov, Aria Nourbakhsh +1Subspace
Department of Computer Science, University of Luxembourg Esch-sur-Alzette, Luxembourg
MIC: Maximizing Informational Capacity in Adaptive Representations via Isotropic Subspace Alignment
May 28, 2026Dang Nguyen Hong, Nhi Ngoc-Yen Nguyen, Huy-Hieu PhamSubspace Multiscale
Hanoi University of Science and Technology, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam +1
Parameter-Efficient Subspace Decoupling ViT for Mitigating Multi-Task Negative Transfer in Histological Scoring
May 28, 2026Youhan Huang, Jiajun Li, Yilin Fang +2Multi--Task Learning Self-Supervised Vision Transformers
1Beijing University of Posts and Telecommunications, Beijing, China · 2Beijing University of Chemical Technology, Beijing, China · 3Capital Medical University, Beijing, China
Efficient, Validation-Free Intrinsic Quality Estimation for Large-Scale Face Recognition Datasets
May 28, 2026Zhichao Chen, Yongle Zhao, Kaicheng Yang +3Face Recognition Model Image Quality Assessment
DeepGlint · School of Cyber Science and Technology, University of Science and Technology of China.
Interpretability-Guided Layer Selection over Subspace Projection: SAEs as Stethoscopes, Not Scalpels, for Raw Task Vector Model Editing
May 27, 2026Li Lei, Madalina Ciobanu, Qingqing Mao +1Mathematical Reasoning Benchmarks Subspace
Incept Labs Houston, TX · Incept Labs, Houston, TX · Titan Holdings, San Francisco, CA
Janus-LoRA: A Balanced Low-Rank Adaptation for Continual Learning
May 27, 2026Cheng Chen, Pengpeng Zeng, Yuyu Guo +3Replay-Based Continual Learning Continual Learning
School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, China · School of Computer Science and Technology, Tongji University, Shanghai, China · Independent Researcher +1
Dimensionality Reduction for Robust Federated Learning: A Theoretical Analysis and Convergence Guarantee
May 27, 2026Shiyuan Zuo, Jiashuo Li, Rongfei Fan +2Federated Learning Dimensionality Reduction
Beijing Institute of Technology, Beijing, China · Xi’an Jiaotong University, Xi’an, China · The Chinese University of Hong Kong (Shenzhen), Shenzhen, China
Echoes within the Reasoning: Stealthy and Effective Watermarking via Chain of Thought
May 27, 2026Jiacheng Lu, Yiming Li, Tao Song +4Watermarking Watermarks
School of Computer Science, Shanghai Jiao Tong University, Shanghai, China · Nanyang Technological University, Singapore · National University of Singapore, Singapore
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
Semi-Supervised Gaze Estimation via Disentangled Subspace Contrastive Learning
May 26, 2026Qida Tan, Hongyu Yang, Wenchao DuGaze Target Estimation Gaze Behavior
National Key Laboratory of Fundamental Science on Synthetic Vision, Sichuan University, Chengdu, China · College of Computer Science, Sichuan University, Chengdu, China
Energy-Structured Low-Rank Adaptation for Continual Learning
May 26, 2026Longhua Li, Lei Qi, Qi Tian +1Replay-Based Continual Learning Continual Learning
School of Computer Science and Engineering, Southeast University, Nanjing, China · Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications (Southeast University), Ministry of Education, China · Huawei Technologies, Shenzhen, China
Extra-Merge: Tracing the Rank-1 Subspace of Model Merging in Language Model Pre-Training
May 26, 2026Wenjie Zhou, Bohan Wang, Hongtao Zhang +3Large Language Model Pretraining Merge
State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, China · University of Chinese Academy of Sciences, China · Alibaba Group, China +2
Reparametrizing Shampoo and SOAP for Subspace Basis Updates and BFloat16 Storage
May 25, 2026Alan Milligan, Zikun Xu, Simon Lacoste-Julien +2Matched Fp16 Intermediate Subspace
Mila & Université de Montréal · Microsoft · Concordia University & Mila +1

Jun 25, 2026, cs.LGJ/K move · Enter open · S save

fTNN: a tensor neural network for fractional PDEs

Qingkui Ma, Hehu Xie, Xiaobo Yin

School of Mathematics and Statistics & Hubei Key Laboratory of Mathematical Sciences, Central China Normal University, Wuhan 430079, China · SKLMS, NCMIS, Academy of Mathematics and Systems Science, Chinese Academy of Sciences, No.55, Zhongguancun Donglu, Beijing 100190, China · School of Mathematical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China+1

Fourier Neural Operators Partial Differential Equations One-Dimensional Viscous Burgers Equation Graph Laplacians Bayesian Quadrature Subspace

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We develop the fTNN, a deterministic tensor neural network subspace method for problems involving the fractional Laplacian on bounded domains, taking the fractional Poisson equation and time-dependent fractional advection-diffusion equation as typical representatives. The work employs a geometry-adapted integration split featuring a spatially dependent near-field radius, which decomposes the fractional Laplacian into three contributions: a singular near field, a regular interior far field, and an analytical exterior far field. Then the singular radial integrals are treated by Gauss-Jacobi quadrature, the regular radial integrals by Gauss quadrature, and the angular variables by deterministic angular quadrature, yielding a fully deterministic integration framework of the fractional Laplacian operator. To accurately resolve low-regularity solutions and the associated loss functional, we construct boundary-singularity-aware trial functions enriched with explicit boundary features, and propose two strategies for automatically selecting the leading exponent and evaluating the loss function from the singularity structure induced by the fractional operator, or jointly by the fractional operator and the source term. For time-dependent fractional PDEs, we design a spatiotemporally separable neural network that factorizes the time-space residual into a sum of low-dimensional temporal and spatial integrals, and we integrate this representation with an alternating neural network subspace optimization strategy for efficient training. Numerical experiments show that the proposed framework attains high accuracy on the tested benchmarks and improves substantially over existing fPINN and Monte Carlo baselines, particularly for problems with strong boundary singularities and long-time simulations.

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