Wireless Foundation Models

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45 papers in the last four weeks, up 114% on the four weeks before. 0.4% of all new papers.

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Scale-Invariant Training for Time Series Foundation Models
Oct 5, 2026Ignacy Stepka, Willa Potosnak, Kin G. Olivares +1Time Series Foundation Models Wireless Foundation Models
Carnegie Mellon University · Amazon · Nixtla
EMG-FM-Bench: A Comprehensive Benchmark for Foundation Model Transfer and Adaptation on Electromyography
Oct 5, 2026Tianhao Wu, Xu Wu, Amirmohammad Radmehr +4Electroencephalography Foundation Models Electrocardiogram Foundation Models
University of Georgia · University of Oklahoma · University of Massachusetts Amherst
Time-series Foundation Models for Predictive Control: The Role of Excitation
Oct 5, 2026Mazen Amria, Jasper Hoffmann, Philipp Bordne +5Time Series Foundation Models Wireless Foundation Models
University of Freiburg, Germany · Norwegian University of Science and Technology, Norway
Training and Scaling Compute-Optimal Physiological Waveform Foundation Models
Oct 5, 2026Pingzhi Li, Jie Peng, Shuqing Luo +2Medical World Model Physiological Data
University of North Carolina at Chapel Hill · Foci Labs
Lightweight Semantic EEG Foundation Model for Frozen Cross-Disorder Transfer
Oct 4, 2026Rita Huan-Ting Peng, Nhat BuiElectroencephalography Foundation Models Electrocardiogram Foundation Models
University of Illinois Urbana–Champaign, Urbana, IL, USA · Carle Foundation Hospital, Urbana, IL, USA
A Unified Scaling Law for Time Series Foundation Models
Oct 4, 2026Xilin Dai, Yiding Liu, Zewei Dong +2Time Series Foundation Models Wireless Foundation Models
Ant International · The Chinese University of Hong Kong
Dyna3: VLM-Guided Training-Free 4D Reconstruction via Depth Foundation Models
Oct 1, 2026Xinhao Xiang, Weiyang Li, Zhijie Zheng +24D Reconstruction Scene Reconstruction
IFM Lab, University of California, Davis, CA, USA · Genies Inc., CA, USA
Towards Fast and Disentangled Counterfactuals for Visual Foundation Models
Oct 1, 2026Sidney Bender, Benedikt Kunz, Ahmed Zeid +3Wireless Foundation Models Counterfactual Generation
Berlin Institute for the Foundations of Learning and Data (BIFOLD), Berlin, Germany · Machine Learning Group, Technische Universität Berlin, Berlin, Germany
From Task Mixtures to Specialized Experts
Sep 30, 2026Hojat Allah Salehi, Mehrdad Mahdavi, Andrew Arash Mahyari +1Federated Learning Heterogeneity
Florida International University, Miami, FL, USA · Security, Optimization, and Learning for InterDependent networks laboratory (solid lab), Miami, FL, USA · The Pennsylvania State University, University Park, PA, USA +1
Predicting Multi-View Rashomon Representation: Can We Learn Where Models Disagree?
Sep 30, 2026Mingyue Ma, Zongbo Han, Changqing Zhang +1Wireless Foundation Models Representation Learning
Beijing University of Posts and Telecommunications · Tianjin University
HyperSAM: A Promptable Foundation Model for Hyperspectral Remote Sensing
Sep 29, 2026Li Pang, Xinqiao Wu, Jing Yao +5Hyperspectral Image Remote Sensing
School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an 710049, China · Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China · State Key Laboratory of Remote Sensing and Digital Earth, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China +4
T $^2$ Mem: Learning Test-Time Memory for Robotics
Sep 29, 2026Yize Liu, Huang Huang, Yining Hong +4Robotic Manipulation Test Time
Stanford University · NVIDIA · University of Michigan, Ann Arbor
ScAn-Bench: Evaluating Scaling Analysis Methodology
Sep 28, 2026Artin Sermaxhaj, Nastaran Alipour, Donat Sinani +4Large Language Model Benchmarks Wireless Foundation Models
University of Freiburg · Zuse School ELIZA · Juelich Supercomputing Center (JSC), Research Center Juelich (FZJ)
HERO: Histology Encoder for Robust Representation in Oncology
Sep 28, 2026Zhi Li, Eghbal Amidi, Yating Cheng +12Pathology Foundation Models Computational Pathology
Caris Life Sciences, Irving, TX, United States
Reduce, Then Encode: Multiscale Volumetric Reduction for 2D Foundation Models in Brain MRI
Sep 28, 2026Dexuan Ding, Yuankai Qi, Bogong Wang +2Functional Magnetic Resonance Imaging Multiscale
Macquarie University · Australian National University · University of Sydney
Separating personal from population gains when calibrating EEG foundation models for new users
Sep 28, 2026Xilin Tao, Kani ChenElectroencephalography Foundation Models Wireless Foundation Models
Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong SAR, China · Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology, Hong Kong SAR, China
Instance-Adaptive Prompts as Context for Time-Series Foundation Models
Sep 28, 2026Zehao Xiao, Shifeng Xie, Lei Zan +5Time Series Foundation Models Wireless Foundation Models
Huawei Noah’s Ark Lab, Paris, France · LIPADE, Universit´e Paris Cit´e, Paris, France · Huawei Noah’s Ark Lab, Shenzhen, China
DBCF: Dual-Branch Complementary Fusion of Foundation Models for Generalized Deepfake Detection
Sep 28, 2026Fengming Gu, Mingjie He, Zonghui Guo +2Face Forgery Detection Forgeries
School of Advanced Interdisciplinary Sciences, University of Chinese Academy of Sciences, Beijing, 100049, China · State Key Laboratory of AI Safety, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China · University of Chinese Academy of Sciences, Beijing, 100049, China +1
A General Harness for Protein Foundation Model Fitness Prediction
Sep 28, 2026Yang Tan, Qijia Tian, Gangyu Sun +5Wireless Foundation Models Sirus
Shanghai Jiao Tong University · Shanghai Innovation Institute · Shanghai Artificial Intelligence Laboratory
Multimodal LLMs Outperform Pathology Foundation Models in Cross-Domain Histological Similarity
Sep 26, 2026Yishu Zhang, Yun Li, Daiwei ZhangPathology Foundation Models Multimodal Clinical Data
University of North Carolina at Chapel Hill
GPT-6-Astra Lights Up Embodied Navigation: Evaluation in Zero-Shot Vision-and-Language Navigation in Continuous Environments
Sep 24, 2026Guangzhao Dai, Qianru Sun, Qi Wu +1Vision-Language Navigation Embodied Artificial Intelligence
School of Computing and Information Systems, Singapore Management University · Australia Institute for Machine Learning
Continuous Online Fault Detection for Mobile Robots via Adaptive Edge Models
Sep 24, 2026Jordan Levy, Nicolas Verstaevel, Vincent Talon +1Mobile Robots Mobilenetv2
IRIT, Université Toulouse Capitole, Toulouse, France · TwinswHeel, Soben, France
WildHSR: Metric Feed-Forward 4D People-Scene Reconstruction from a 3D Foundation Model
Sep 24, 2026Jerrin Bright, John Zelek3D Foundation Models Scene Reconstruction
Vision and Image Processing Lab, University of Waterloo, Canada
Benchmarking Hyperspectral Foundation Models for Hyperspectral Unmixing
Sep 23, 2026Edgard Dabier, Christophe Kervazo, Pietro Gori +1Hyperspectral Image Wireless Foundation Models
LTCI, T´el´ecom Paris, Institut Polytechnique de Paris, Palaiseau, France
FFM-CP: Cross-Backbone Fusion of Vision-Language Foundation Models for Few-Shot Computational Pathology
Sep 23, 2026Anh-Tien Nguyen, Trung DQ. Dang, Nghiem Tuong Diep +9Pathology Foundation Models Computational Pathology
Institute for Predictive Deep Learning for Medicine and Healthcare, Giessen University, Germany · Department of Medical Informatics, University Medicine Gottingen, Germany · Department of Applied Mathematics and Computer Science, Technical University of Denmark, Denmark +8
A generalizable structural brain MRI foundation model built through dual-priority federated pretraining
Sep 23, 2026Zhen Yu, Yang Liu, Xiahai Zhuang +1Functional Magnetic Resonance Imaging Wireless Foundation Models
National Institute of Health Data Science, Peking University, Beijing, 100871, China. · Institute of Medical Technology, Peking University Health Science Center, Beijing, 100871, China. · State Key Laboratory of General Artificial Intelligence, Peking University, Beijing, 100871, China. +2
Deploying Foundation Models for Embodied Navigation
Sep 22, 2026Vishnu Sashank Dorbala, Dinesh ManochaEmbodied Agents Wireless Foundation Models
University of Maryland, College Park
Generating Chest X-Ray Counterfactuals by Specialising Foundation Image Models
Sep 21, 2026Xiaodan Xing, Rajat R. Rasal, Julia A. Meister +3Medical Image Generation Counterfactuals
GSK · Imperial College London
$t_0$ : A Time-Series Foundation Model for Forecasting with Context
Sep 21, 2026Lucas Meyer, Claudio Sole, Huikan Xiang +6Time Series Foundation Models Probabilistic Forecasting
The Forecasting Company · Macrocosm
SAFe: Segment-guided Aggregation of Feature Densities for Anomaly-aware Segmentation
Sep 21, 2026Anja Delić, Jurica Runtas, Marin Oršić +2Feature Pyramid Vision Sensors
University of Zagreb Faculty of Electrical Engineering and Computing Laboratory for Autonomous Systems and Mobile Robotics Zagreb, Croatia
ORION-CMR: On-scanner Reporting with Integrated Foundation Model for End-to-End Cardiac MRI Analysis and Interpretation
Sep 20, 2026Omer Burak Demirel, Kelly K. Horst, Alessio Perazzolo +15Cardiac Magnetic Resonance Imaging Cardiac
MR Clinical Science, Philips North America, MN, USA · Department of Radiology, Mayo Clinic Rochester, Rochester, MN, USA
Matched-Input Estimates Differ in Sign Across Architectures: Auditing EEG Foundation Models on Motor Imagery
Sep 20, 2026Kevin Zhou, Sparsh RoyElectroencephalography Foundation Models Brain-Computer Interface
Hopewell Valley Central High School
Leveraging Industrial Foundation Models at the Edge of Particle Physics Detectors via Distillation Learning and Hardware Co-design
Sep 20, 2026Gia Ancone, Qibin Liu, Liangyu Wu +1Wireless Foundation Models Time Series Foundation Models
Department of Physics Stanford University 450 Jane Stanford Way, Stanford, CA 94305, United States of America · SLAC National Accelerator Laboratory 2575 Sand Hill Road, Menlo Park, CA 94025, United States of America
Can 4D Foundation Models Remember?
Sep 17, 2026Guangzhao He, Hadar Averbuch-Elor, Wei-Chiu MaWireless Foundation Models Persistence
Cornell University
Size Matters: Foundation Model for Czech HTML documents
Sep 16, 2026Martin Dvořák, Vít Tlustoš, Artyom Voronin +4Wireless Foundation Models Document
Seznam.cz, Prague, Czech Republic
WFM: Wiki Foundation Model for Complex Agentic Reasoning
Sep 16, 2026Junnan Dong, Linhao Luo, Senlei Zhang +9Long-Term Agent Memory Graph Representations
Tencent Youtu Lab · Monash University · Hong Kong Baptist University +1
From Foundation Embeddings to Cropland Maps: Label Efficiency, Temporal Transferability and Independent Human Validation
Sep 15, 2026Mohammad Ammar Mughees, Giovanni Montefoschi, Zhongxin Chen +1Geospatial Foundation Models Agricultural Monitoring
Department of Civil and Environmental Engineering, Politecnico di Milano, Milan, Italy · Food and Agriculture Organization of the United Nations, Rome, Italy
SOTER: A Generative Time-Series Foundation Model for Wearable Human Physiological Signals
Sep 15, 2026Fangke Chen, Sirry Chen, Wei Chen +1Wearable Physiology Time Series Foundation Models
School of Integrated Circuits, Zhejiang University Hangzhou, China · Shanghai Innovation Institute Shanghai, China · School of Data Science, Fudan University Shanghai, China +1
Discovery Foundation Models: Toward Open-Ended Discovery Intelligence
Sep 14, 2026Ling Yang, Zhenfei Yin, Yingcheng WuModel Discovery Discovery
DFM Scientist Collaboration Program
woma: a real-time foundation model and its fine-tuned models for endoscopy
Sep 14, 2026Thang Tran, Lan DangColonoscopy Wireless Foundation Models
CloudKites AI Lab · Monash Business School, Monash University
CAL-MOS: Bridging Layers with Adapters for Robust MOS Prediction Across Speech Foundation Models
Sep 14, 2026Alef Iury Siqueira Ferreira, Pedro Lustosa Rege Botelho, Fernanda Silva +5Mean Opinion Scores Speaker
AKCIT, Brazil · Federal University of Rio Grande do Norte (UFRN), Brazil · Federal University of Technology (UTFPR), Brazil +1
Distribution-Consistent Inference for Dynamic Sparse Mixture-of-Experts
Sep 10, 2026Dohyeon Kim, Bedionita Soro, Sung Ju HwangMixture-Of-Expert Inference Mixture-Of-Experts
KAIST
Do speech foundation models really learn words?
Sep 9, 2026Robin Huo, Ewan DunbarSelf-Supervised Speech Models Wav2Vec
University of Toronto, Canada
Geometry Without Coordinates: LiDAR Diffusion as a 3D Feature Bridge
Sep 9, 2026Samed Doğan, Nico Leuze, Alfred Schöttl3D Representation 3D Generation
Department of Electrical Engineering and Information Technology Munich University of Applied Sciences Munich, Bavaria 80335
Distillation of Synthetic Data for Time Series Foundation Models
Sep 9, 2026Niloy Biswas, Noureddine El KarouiTime Series Foundation Models Diffusion-Based Dataset Distillation
Meta AI
AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing
Sep 8, 2026Ziyang Ma, Zhikang Niu, Wenming Tu +30Modern Generative Audio Models Audio Editing
Chimaera: A Mixture-of-Graph-Experts Architecture for Cross-Task and Cross-Dataset Graph Learning
Sep 8, 2026Jonathan Frank, David Richerby, Ansgar ScherpGraph Foundation Model Text-Attributed Graph
University of Ulm · University of Essex
IPM-FM: A Foundation Model with Consensus Feature Selection for Industrial Process Monitoring
Sep 8, 2026Liang Cao, Weide Liu, Yan Qin +3Predictive Maintenance Wireless Foundation Models
Department of Chemical and Biological Engineering University of British Columbia Vancouver, BC, Canada · School of Computing and Artificial Intelligence Jiangxi University of Finance and Economics Nanchang, China · School of Automation Chongqing University Chongqing, China +2
SAM3-O2D2: Zero-Shot Object Out-of-Distribution Detection by Object Class Prompting of the SAM3-Image Model
Sep 8, 2026Lucas Görnhardt, Timo Bartels, Tim FingscheidtOut-Of-Distribution Detection Out-Of-Distribution
Technische Universität Braunschweig, Institute for Communications Technology
TAP-Path: Task-Adaptive Structural and Token Pruning for Efficient and Trustworthy Pathology Foundation Models
Sep 3, 2026Mehedi Hasan, Ashfak Yeafi, Md Khairul IslamPathology Foundation Models Wireless Foundation Models
Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh · EEE, Khulna University of Engineering & Technology, Khulna, Bangladesh · Mathematics and Computer Science, Hobart and William Smith Colleges, Geneva, NY, USA
Morphology signal in whole slide image foundation models can automatically triage slides
Sep 2, 2026Ayushi Sinha, Shashank Yadav, Benjamin Holmes +9Whole-Slide Images Biomarker
Department of Radiology, Mayo Clinic, Rochester MN · Department of Radiation Oncology, Mayo Clinic, Rochester MN · AI Program, Mayo Clinic, Rochester MN +4
OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation
Sep 1, 2026Yunqin Zhu, Feng Qiu, Yao XieProbabilistic Forecasting Data-Driven Forecasting
H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology · Argonne National Laboratory
Cross-Model Distillation of a Human-Pose Foundation Model from Unannotated Infant Video for Markerless 3D Pose Estimation
Sep 1, 2026R. James Cotton, Divya Joshi, Colleen PeytonWifi-Csi 3D Human Pose Estimation 3D Foundation Models
1Shirley Ryan AbilityLab · Department of Physical Medicine and Rehabilitation, Northwestern University · Department of Physical Therapy and Human Movement Science, Northwestern University +1
CMRVision: A Foundation Model for Cardiac MR Image Analysis
Sep 1, 2026Athira J. Jacob, Puneet Sharma, Daniel RueckertCardiac Magnetic Resonance Imaging Echocardiography
Digital Technology and Innovation, Siemens Healthineers, Princeton, NJ, USA · Chair for Al in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany · Department of Computing, Imperial College London, UK
One Prompt Is Enough: Watermark Laundering Through Foundation Image Models
Sep 1, 2026Jidong Yang, Qi Li, Wei Zong +5Watermarks Wireless Foundation Models
Key Laboratory of Computing Power Network and Information Security, Ministry of Education; Shandong Computer Science Center; Shandong Provincial Key Laboratory of Industrial Network and Information System Security; Shandong Fundamental Research Center for Computer Science; Qilu University of Technology (Shandong Academy of Sciences), Jinan 250353, China · Institute of Cybersecurity and Cryptology (iC2), University of Wollongong, Australia · School of Information Science and Engineering, Dalian Polytechnic University, Dalian 116034, China
EEG-AS: Instance-Level Foundation Model Selection for EEG Foundation Models via Behavior Reconstruction
Sep 1, 2026Yunzhen Zhang, Ruoxi Piao, Hasan Onur Keles +1Electroencephalography Foundation Models Electroencephalography
Duke Kunshan University · Ankara University
Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation
Sep 1, 2026Teresa DiMeola, Charles Walter, Hong XiaoFew-Shot Segmentation Aerial Dataset
Dept. of Computer and Information Science University of Mississippi
Panda Diplomacy: Foundation Model Pre-training across Particle Imaging Detectors for High Energy and Nuclear Physics
Sep 1, 2026Samuel Young, César Jesús-Valls, Kazuhiro TeraoWireless Foundation Models Foundation Model
Stanford University · Stanford, CA 94305 · European Organization for Nuclear Research (CERN) +3
SAM3-LoRA: Parameter-Efficient Adaptation of a Concept-Promptable Foundation Model for Multi-Class Structural Defect Segmentation
Aug 31, 2026P. Malaisree, S. Youwai, S. Janrungautai +3Few-Shot Segmentation Wireless Foundation Models
MAA Consultants Co., Ltd. · AI Research Group, Department of Civil Engineering, Faculty of Engineering, King Mongkut´s University of Technology Thonburi (KMUTT). · School of Engineering, University of Phayao. +2
Safin-1: Safety from Within through Memory-Native State Evolution
Aug 31, 2026Ming Zhang, Kaisen Yang, Shu Yu +15Persistent State Wireless Foundation Models
Shanghai AI Laboratory

Oct 5, 2026, cs.LGJ/K move · Enter open · S save

Scale-Invariant Training for Time Series Foundation Models

Ignacy Stepka, Willa Potosnak, Kin G. Olivares, Artur Dubrawski

Carnegie Mellon University · Amazon · Nixtla

Time Series Foundation Models Wireless Foundation Models Sequential Scaling

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Time series foundation models (TSFMs) are trained on large collections of time series datasets that span various morphologies and domains. This setting exposes models to series whose scales -- typical magnitudes of their values -- can differ substantially. Affine scaling methods such as Reversible Instance Normalization (ReVIN) scale model inputs and reverse the transform before computing the loss. We show that this inversion multiplies each series' gradient by

b^p

relative to loss on scaled targets, where

b

is the scaling denominator (e.g., standard deviation) and

p

is the loss degree. We call this scale-contaminated training (ScaleCon), because the scale of each series consequently becomes an importance weight, causing high-scale series to dominate training. For any scale-equivariant scaler and residual loss that is homogeneous of degree

p

, including MSE, MAE, and Quantile Loss, we prove that computing loss on scaled targets makes every mini-batch gradient and, consequently, the full optimization trajectory invariant to arbitrary independent rescaling of the training series, yielding scale-invariant training (ScaleIn). Notably, existing TSFMs use both objectives, with neither consistent reporting nor a common convention on how to compute training loss. We isolate the convergence disparity induced by ScaleCon and its correction under ScaleIn in controlled studies on synthetic and real data. In pretraining across four TSFM architectures, ScaleIn lowers MASE in all 24 architecture-benchmark comparisons, with average reductions across TSFMs of 18.8% on GIFT-Eval and 21.9% on the M-competitions. The gains extend to supervised neural forecasting, where it lowers MASE in 16 of 20 matched settings. Most existing time series forecasting pipelines can adopt ScaleIn with a one-line code change.

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