Invariant Representation Learning

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21 papers in the last four weeks, up 110% on the four weeks before. 0.2% of all new papers.

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  1. How Do Transformers Learn to Represent Symmetries?

    Oct 7, 2026Eduardo Santos-Escriche, Valerie Engelmayer, Ya-Wei Eileen Lin +1Invariant Representation LearningTransformer

    Technical University of Munich Munich Center for Machine Learning · Massachusetts Institute of Technology

  2. Mathematical Invariant-Enabled Topological Neural Networks for Molecular and Materials Property Prediction

    Oct 6, 2026Yiming Ren, Xiang Liu, Mustafa Hajij +2Materials Property PredictionMolecular Property Prediction

    Department of Mathematics, University of Georgia, Athens, GA 30602, USA. · Department of Data Science, University of San Francisco, CA 94117, USA. · Department of Computer Science and Technology, Cambridge University, Cambridge, United Kingdom. +2

  3. Scale-Invariant Training for Time Series Foundation Models

    Oct 5, 2026Ignacy Stepka, Willa Potosnak, Kin G. Olivares +1Time Series ForecastingInvariant Representation Learning

    Carnegie Mellon University · Amazon · Nixtla

  4. SPDAlign: Interpretable Riemannian Alignment for EEG Forward Modeling Shifts

    Oct 5, 2026Shanglin Li, Shiwen Chu, Okan Koç +5Cross-Subject EEG DecodingUnsupervised Domain Adaptation

    BIFOLD, Germany · Technical University of Berlin, Germany · Advanced Telecommunications Research Institute International, Japan +2

  5. dIon: Fragmentation-Based Invariance for Self-Supervised Learning of Tandem Mass Spectra

    Oct 5, 2026Alfred Nilsson, Joel Lapin, Samuel H. Payne +2Self-Supervised Pre-TrainingMass Spectrometry

    Science for Life Laboratory, KTH Royal Institute of Technology Stockholm, Sweden · Computational Mass Spectrometry, TUM School of Life Sciences Technical University of Munich, Freising, Germany · Biology Department, Brigham Young University Provo, Utah 84602, United States +1

  6. Rethinking the Information Bottleneck: Structured Decomposition under Label-Induced Partitions

    Oct 1, 2026Jingyao Zhang, Yuxuan Li, Lu Han +2Information BottleneckInvariant Representation Learning

    School of Computer Science, The University of Sydney Sydney, NSW 2006, Australia

  7. Structure-agnostic Causal Representation Learning

    Oct 1, 2026Arman Behnam, Binghui WangCausal Representation LearningOOD Generalization

    Department of Computer Science Illinois Institute of Technology Chicago, IL, USA

  8. Signal-Noise Factorization Isolates Nuisance Variation into Removable Subspaces

    Sep 30, 2026Sakin Kirti, Joel ZylberbergImage Corruption RobustnessInvariant Representation Learning

    Bioinformatics IDP, Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA 90095, USA · Jules Stein Eye Institute University of California, Los Angeles Los Angeles, CA, 90095, USA

  9. scTrilemma: Balancing Identity, Invariance, and Fidelity in Single-Cell Representation Learning

    Sep 30, 2026Yunhak Oh, Yoonho Lee, Junseok Lee +9Variational AutoencodersRepresentation Learning

    KAIST · Work done during an internship at HITS · HITS

  10. Masked Swingers: Harnessing Data Augmentation to Advance Autoencoders for Self-Supervised Learning

    Sep 29, 2026Anthony Fuller, Scott C. Lowe, Daniel G. Kyrollos +3Masked AutoencodersInvariant Representation Learning

    Vector Institute · Carleton University · University of Guelph +1

  11. Predictive Self-Supervised Learning Provably Identifies Stochastic Signals under Nuisance

    Sep 29, 2026Fabian A. Mikulasch, Friedemann ZenkeLatent Variable ModelsRepresentation Identifiability

    Friedrich Miescher Institute for Biomedical Research, Basel, Switzerland · Faculty of Science, University of Basel, Switzerland

  12. Disentangling Spurious Correlations in Vision-Language-Action Models via Predicting Domain-Invariant Latent Lookahead

    Sep 29, 2026Junghyun Kim, Ngseo Kim, ChungWoo Lee +7Domain GeneralizationVision-Language-Action Models

    OpenMind, San Francisco, CA, USA · Seoul National University, Seoul, Korea · Hyundai Motors, Korea +2

  13. Geometry-Conditioned Fixed-Scaffold Encoders for Time-Warp Robust Sequence Retrieval

    Sep 29, 2026Cassandra Yang, Yufan TangTemporal IRInvariant Representation Learning

    New York University · Fudan University

  14. Fisher-IRG: Fisher-Induced Local Invariant Representation Geometry across Language and Vision Models

    Sep 29, 2026Abdullah All Tanvir, Xin ZhongInformation GeometryNeural Representation Geometry

    Department of Computer Science University of Nebraska Omaha, Omaha, NE, USA

  15. Longer Records, Broader Invariance: The Hidden Scaling Problem in Longitudinal Contrastive Learning

    Sep 29, 2026Rameen Mahmood, Xuhai "Orson" Xu, Zachary Beattie +2Contrastive LearningSelf-Supervised Time Series Representation Learning

    New York University · Columbia University · Oregon Health & Science University

  16. Graph neural networks for sampling-invariant embeddings of organized signal sets

    Sep 28, 2026Martin Bauw, Santiago Velasco-Forero, Jesus AnguloGraph Neural NetworksGraph Representation Learning

    CMM · CMA

  17. Adversarial Consistency-Guided Representation Learning for Multi-view Clustering

    Sep 28, 2026Yuchen Lin, Kunpeng Xu, Ying Fang +1Multi-View ConsistencyAdversarial Representation Learning

    School of Computer and Cyber Security, Fujian Normal University, Fuzhou 350000, China · Digital Fujian Internet-of-Things Laboratory of Environmental Monitoring, Fujian Normal University, Fuzhou 350000, China · School of Computer Science, McGill University, Montreal H3A 2A7, Quebec, Canada

  18. DRIFT: Disentangled Responsive-Invariant Flow Transport for Single-Cell Perturbation Prediction

    Sep 28, 2026Mustapha Bounoua, Giulio Franzese, Pietro MichiardiDisentangled Representation LearningConditional Flow Matching

    Department of Data Science EURECOM, France

  19. Stable Neural Decoding Across Sessions via Task-Conditioned Latent Alignment for Brain-Machine Interfaces

    Sep 23, 2026Canyang Zhao, Bolin Peng, J. Patrick Mayo +2Brain-Computer InterfacesNeural Decoding

    Institute of Automation, Chinese Academy of Sciences, Beijing, China · Departments of Ophthalmology and Bioengineering, University of Pittsburgh, Pittsburgh, USA · School of Science and Engineering, Chinese University of Hong Kong, Shenzhen, China

  20. TM-APR: Thermal Temporal-Memory Localization via Analytic Online Adaptation

    Sep 22, 2026Yanshuo Bai, Kanji TanakaClass-Incremental LearningVisual Place Recognition

  21. Type-IV Code Clone Detection via Layer-Wise Non-Contrastive Representation Learning

    Sep 15, 2026Luciano Marchezan, Kevin Delcourt, Eugene Syriani +1Representation LearningStatic Code Analysis

    Universit´e de Montr´eal. Montreal, QC, Canada

  22. Language Orthogonalization for Zero-Shot Cross-Lingual Audio Deepfake Detection

    Sep 15, 2026Minu Kim, Ji Sub Um, Hoirin KimAudio Deepfake DetectionInvariant Representation Learning

    University of Southern California, USA · KAIST, South Korea

  23. DCRA: Diffusion-Conditioned Representation Alignment for Robust Time-Series Learning

    Sep 14, 2026Wenrui Xu, Anas Enanaa, Keshab K. ParhiEEG Seizure DetectionRepresentation Learning

    University of Minnesota, Twin Cities

  24. Learn the Solid, Not the File: Canonical Inputs for Neural Networks on CAD Boundary Representations

    Sep 12, 2026Heinrich Jiang, Hager Yasser Mohamed, Alexander Hitt +3Graph Representation Learning3D Representation Learning

    StoryGold AI

  25. Single-Stream Multi-Feature Fusion with Temporal Robustness for Gait Emotion Recognition

    Sep 11, 2026Shirong Lyu, Silu Quan, Yixuan Ding +1Gait RecognitionInvariant Representation Learning

    College of Computer and Information Science, Southwest University, Chongqing, China · College of Physical Science and Technology, Southwest University, Chongqing, China · Wisesoft Inc., Chengdu, China

  26. Symmetry-aware super-resolution of crystal orientation maps via invariant latent-space learning

    Sep 9, 2026Umang Garg, Warren Zamudio, McLean P. Echlin +3Materials ScienceInvariant Representation Learning

    Electrical and Computer Engineering, University of California Santa Barbara, Santa Barbara, 93106, California, USA. · Mechanical Engineering, University of California Santa Barbara, Santa Barbara, 93106, California, USA. · Materials, University of California Santa Barbara, Santa Barbara, 93106, California, USA.

  27. SAUF-Net: Structure--Appearance Representation Learning with Uncertainty Feedback for Semi-Supervised Medical Image Segmentation

    Sep 2, 2026Qin Lu, Zheyang Jing, Yujie Yang +3Semi-Supervised Medical Image SegmentationConsistency Regularization

    Nanchang Hangkong University, Nanchang, China

  28. Neural Logic, Invariance, and the Retina---McCulloch and Pitts

    Sep 2, 2026Nima DehghaniInvariant Representation LearningNeural Encoding

    McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA · The NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI), Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USAa)

  29. CATeye: Coupled Attribute-Topology Invariance Learning for Voucher Abuse Detection

    Sep 1, 2026Tian Tian, Shuaicheng Niu, Hao Kuang +3Domain GeneralizationFinancial Fraud Detection

    Nanyang Technological University · Singapore · Lazada Inc. +3

  30. PRISM: Predictive Recomposition via Semantic Latent Decomposition for View-invariant Video Representation Learning

    Aug 31, 2026Youngchae Chee, Hosu Lee, Sungjune Park +2Disentangled Representation LearningEgocentric Video Understanding

    KAIST · University of Illinois Urbana-Champaign