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14 papers in the last four weeks, up 250% on the four weeks before. 0.1% of all new papers.

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  1. Optimization Geometry of QAOA and Variational Quantum Algorithms

    Oct 4, 2026Vojtěch Novák, Ivan Zelinka, Silvie Illésová +2Variational Quantum AlgorithmsVariational

    Department of Computer Science, Faculty of Electrical Engineering and Computer Science, VSB – Technical University of Ostrava, Ostrava, Czech Republic · IT4Innovations National Supercomputing Center, VSB – Technical University of Ostrava, 708 00 Ostrava, Czech Republic · Department of Informatics and Statistics, Marine Research Institute, Klaipeda University, Klaipeda, Lithuania +3

  2. VTV-FM: Flow Matching through Variational Terminal-Velocity Closure

    Sep 30, 2026Haoyang Jiang, Yuheng Li, Di Yang +3Conditional Flow MatchingVariational

    Department of Data Science, William & Mary Williamsburg, VA 23185, USA

  3. Pitch Smoothing Using Relative Interval Networks

    Sep 30, 2026Chin-Yun Yu, Chi-Jen Peng, Li Su +1SmoothingVariational

    Centre for Digital Music, Queen Mary University of London, UK · Department of Information Management, National Taiwan University, Taiwan · Institute of Information Science, Academia Sinica, Taiwan

  4. M2^2Weather: A Benchmark for Joint Multi-Station and Multi-Variable Weather Forecasting

    Sep 30, 2026Rongwen Li, Xiao Wang, Mingyang Wang +4Weather PredictionSpatio-Temporal Forecasting

    Hunan University · China Meteorological Administration

  5. Neurosymbolic Action Model Learning under Partial Observability

    Sep 22, 2026Adem Kikaj, Lennert De Smet, Giuseppe Marra +1Neuro-Symbolic FrameworkPartial Observability

    KU Leuven, Belgium

  6. Variational objectives for amortized Bayesian inference in inverse problems: The role of posterior conditioning

    Sep 21, 2026Abhishek Srivastava, Arijit Hazra, Rajesh DubbakuVariationalBayesian Inference

    Department of Mechanical Engineering, Indian Institute of Technology Palakkad · Department of Mathematics, Indian Institute of Technology Palakkad

  7. Stable by Construction: Variational Latent Markov Operators for Long-Horizon PDE Prediction

    Sep 15, 2026Junyi Liao, Johann Guilleminot, Vahid TarokhLong-Horizon ForecastingNeural Partial Differential Equation Solvers

    †Department of Electrical and Computer Engineering, Duke University · ‡Department of Mechanical Engineering and Materials Science, Duke University

  8. High-Performance Tensor Formulation of the Viterbi Algorithm for Hidden Semi-Markov Models

    Sep 15, 2026Lorenzo Piarulli, Elia Belli, Daniele De SensiHidden Markov ModelsHidden States

    Department of Computer Science Sapienza University of Rome

  9. Receiver-Surface Hit Patterns via Legendre Approximation for Molecular Signal Detection

    Sep 14, 2026Yasin Bastug, Erencem Ozbey, H. Birkan YilmazMoleculenetSurface Form

    NETLAB, Department of Computer Engineering, Bogazici University, Istanbul, 34342, Turkiye

  10. Information-Induced Training Geometry: Exact Reduction, Canonical Completion, and Structured Expressivity

    Sep 14, 2026Zavier LiAffineGeometric Metrics

    Xidian University Xi’an, China

  11. FIRM: Flow-based Imaging via Regularized Minimization

    Sep 11, 2026Shirin Shoushtari, Edward P. Chandler, Xiao Shi +1Conditional Flow MatchingBayesian Inverse Problems

    WashU · UW-Madison

  12. UOT-Gap: A Variational Principle for the Modality Gap in Vision-Language Models via Unbalanced Optimal Transport

    Sep 9, 2026Zonglin Yang, Huilan Ma, Xudan Zheng +1Modality GapResidual Learning

    Guangdong Police College

  13. Dynamical Non-compensatory Multidimensional IRT Model Using Variational Approximation

    Sep 9, 2026Hiroshi Tamano, Daichi MochihashiItem Response TheoryKullback-Leibler Divergence

    the graduate university for advanced studies, sokendai · the institute of statistical mathematics

  14. AVCG: A Generalized Variational Framework for Counterfactual Generation under Hypothesis Distributions

    Sep 7, 2026Jamie Duell, Alejandro Jimenez Rodriguez, Mahault AlbarracinCounterfactual ExplanationCounterfactual Generation

    School of Computing and Digital Technologies, Sheffield Hallam University · Centre of Excellence in AI and Robotics (CEAIR), Sheffield Hallam University · 3Laboratoire d’analyse cognitive de l’information (LANCI), Université du Québec à Montréal +2

  15. MemoryWalker: Stop Training Agents on Contexts They Never Saw

    Sep 1, 2026Zinco J, Xunjie Zhu, Shen Huang +3Autoregressive RolloutParallel Rollouts

    Token Foundry, Alibaba Group

  16. CARVE: Verified Expansion for Variable-Length Generation in Diffusion Language Models

    Aug 31, 2026Wail Bouhedja, Amr Mohamed, Guokan ShangDiffusion Language ModelsVariational

    1MBZUAI · 2Sorbonne Université · 3Ecole Polytechnique

  17. Reference-free logged energy-oracle recovery for neural approximations of symmetric coercive variational problems: conforming Riesz reconstruction and archive-level selection

    Aug 17, 2026Karim Bounja, Lahcen Laayouni, Boujemaa Achchab +1Reconstruction ErrorNeural Approximations

    Laboratory for Analysis and Modeling of Systems and Decision Support (LAMSAD), Hassan 1st University of Settat, Settat 26000, Morocco. · Department of Computer Science, School of Science and Engineering, Al Akhawayn University in Ifrane, Ifrane 53000, Morocco.

  18. PAC-Bayes Beyond Parameter Space: Behavioral Equivalence, Z-Information, and Exact Complexity Decomposition

    Aug 11, 2026Vasant G. Honavar, Satish Kumar Keshri, Neil Ashtekar +1Pac-Bayesian TheoryKullback-Leibler Divergence

    Artificial Intelligence Research Laboratory Department of Informatics and Intelligent Systems The Pennsylvania State University · Artificial Intelligence Research Laboratory Department of Computer Science and Engineering The Pennsylvania State University

  19. A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise

    Aug 5, 2026Shengkun Yang, Luca Ratti, Zhichang GuoImage RestorationMultiplicative Gamma Noise

    School of Mathematics, Harbin Institute of Technology, Harbin, 150001, Heilongjiang, China. · Department of Mathematics, University of Bologna, Bologna, 40126, Emilia-Romagna, Italy.

  20. Dynamical Lie Algebras Cannot Describe Shallow QAOA: Cragged Terrains, Barren Plateaus, and Empirical Hardness Models

    Aug 4, 2026Harrison Copp, Charlton Li, Anžej Margeta-Cacace +1Quantum Approximate Optimization AlgorithmVariational Quantum Circuits

    Yale University

  21. Variational Boosting for Physics-Informed Neural Networks

    Jul 27, 2026Kaylee Vo, Pavlos ProtopapasParametric Physics-Informed Neural NetworkVariational

    Harvard University

  22. Variational Low-rank Tensor Decomposition for Multisubject Spatiotemporal Data Analysis

    Jul 24, 2026Laura M. Montaldo, Ricardo A. Borsoi, Sebastian Miron +1SpatiotemporalLow-Rank Structure

    CRAN, Université de Lorraine, CNRS, Vandoeuvre-l`es-Nancy, France. · Department of CSEE, University of Maryland Baltimore County, Baltimore, MD 21250, USA.

  23. A Smooth Phase-Separation Model for Weak-Boundary Segmentation of Homogeneous Structures

    Jul 24, 2026Zihan Li, Jiebao Sun, Fanghui Song +1DelineationVariational

    School of Mathematics, Harbin Institute of Technology, Harbin 150001, China

  24. Active Inference as a Convex Markov Decision Process

    Jul 22, 2026Nikola Milosevic, Nicolás Hinrichs, Nico ScherfMarkov Decision ProcessesVariational

    Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany

  25. A Unified Variational Framework for Deep Weakly Supervised Image Segmentation

    Jul 22, 2026Yin King Chu, Lingfeng Li, Sung Ha Kang +2VariationalSpatial Photonic Ising Machines

    Department of Mathematics, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China · Hetao Institute of Mathematics and Interdisciplinary Sciences, Shenzhen, Guangdong, China · School of Mathematics, Georgia Institute of Technology, Atlanta, GA, 30332, USA +2

  26. Variational meta-learning inference for low dimensional neural system identification

    Jul 21, 2026Matteo Rufolo, Dario Piga, Marco ForgioneSystem IdentificationVariational Inference

    SUPSI-DTI-IDSIA, Dalle Molle Institute for Artificial Intelligence, Lugano, Switzerland.

  27. Non-Asymptotic Variational Learning for Monotone Nonlinear Multiscale Elliptic Equations: Scale-Robust Primal-Dual Bounds and Strong-Form Statistical Ill-Conditioning

    Jul 17, 2026Ronald KatendeVariationalMultiscale Dynamics

    Department of Mathematics Kabale University Kikungiri Hill, Katuna Road, Kabale, Uganda

  28. PiVoT: A Variational Solution for Real-time Large-scale Multi-object Detection and Tracking under Heavy Clutter

    Jul 15, 2026Runze Gan, Qing Li, Simon J. Godsill +2Multi-Object TrackingDoppler Velocity Log

    Institute for Imaging, Data and Communications (IDCOM), University of Edinburgh, Edinburgh EH9 3FG, U.K. · Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, U.K. · School of Mathematics, University of Edinburgh, Edinburgh EH9 3FD, U.K. +1

  29. The SIGReg Objective as Variational Free Energy: A Theoretical Active-Inference Account of JEPA World Models

    Jul 15, 2026Fabio Arnez, Alexandra Gomez-VillaJoint-Embedding Predictive ArchitecturesVariational

    Université Paris-Saclay, CEA, List F-91120, Palaiseau, France · Computer Vision Center Barcelona, Spain

  30. CDFM: Towards a General-Purpose Causal Discovery Foundation Model

    Jul 13, 2026Jie Qiao, Ruichu Cai, Zijian Li +6Causal Discovery MethodsModel Discovery

    School of Computer Science, Guangdong University of Technology, Guangzhou, China · College of Mathematics and Computer, Shantou University, Shantou, China · Department of Computer Science and Technology, Tsinghua University, Beijing, China

  31. Depth-Efficient Quantum Topological Data Analysis for Regime-Specific Detection of Financial Stress

    Jul 10, 2026Arul Rhik Mazumder, Shreyan Ronit MazumderQuantum Error CorrectionTopology

    Carnegie Mellon University Pittsburgh, PA, USA · Cambridge Rindge and Latin School Cambridge, MA, USA

  32. Recovering Latent Structures after Variational Bayesian Variable Selection: Fit Assessment and Factor-Number Selection in Partially Exploratory Factor Analysis

    Jul 8, 2026Jinsong Chen, Yi JinExploratory Factor AnalysisModel Selection

    Faculty of Education The University of Hong Kong · Department of Curriculum and Instruction The Education University of Hong Kong

  33. Born Discrete, Made Smooth: Variational Formulation of Shallow Neural Networks

    Jul 2, 2026Matej Benko, Pierre Bousquet, Iwona Chlebicka +1VariationalNeural Network

    Institute of Mathematics, Faculty of Mechanical Engineering, Brno University of Technology · Technická 2896/2, 616 69, Brno, Czech Republic · Université de Toulouse, INSA Toulouse, CNRS, IMT, F-31062 Toulouse Cedex 9, France +2

  34. Mechanistic Interpretability and Causal Feature Steering of Neural Quantum States via Sparse Autoencoders

    Jul 1, 2026Zihao Qi, Christopher EarlsQubitMechanistic Interpretability

    Department of Physics, Cornell University, Ithaca, NY 14853, USA. · Center for Applied Mathematics, Cornell University, Ithaca, NY 14853, USA.

  35. Multimodal Continuous Reasoning via Asymmetric Mutual Variational Learning

    Jul 1, 2026Shijie Li, Yilin Gao, Siyuan Yang +7Multimodal Large Language ModelsEfficient Latent Reasoning

    Shanghai Jiao Tong University · Ant Group

  36. Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective

    Jun 30, 2026Ole Winther, Paul Jeha, Sander Dieleman +3Stochastic Differential EquationsVariational

    Department of Biology, University of Copenhagen, 2200, Copenhagen, Denmark · Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kgs. Lyngby, Denmark · Google DeepMind, London, UK +2

  37. An Analysis of Posterior Collapse, Parameterization and Initialization in Variational Deep Gaussian Processes

    Jun 24, 2026Francisco Javier Sáez-Maldonado, Juan Maroñas, Daniel Hernández-LobatoVariational InferenceVariational

    Department of Computer Science and Artificial Intelligence Universidad de Granada Granada, Spain · Department of Quantitative Methods CUNEF Universidad Madrid, Spain · Machine Learning Group at Universidad Autónoma de Madrid +1

  38. The Geometry Behind Diffusion and Flow Matching: Gradient Flows and Geodesics in Wasserstein Space

    Jun 23, 2026Yian Yao, Weiwei ZhangRiemannian Flow MatchingWasserstein Gradient Flows

    from the mortal world · from heaven

  39. Words as Difference Makers: How Large Language Models Determine Causal Structure in Text

    Jun 21, 2026Wolfgang PietschLocal Causal StructuresCausal

    tum

  40. Entropy Estimation in Multi-Qutrit Systems via Variational and Classical Neural Networks

    Jun 18, 2026Sai Sakunthala Guddanti, Anil Prabhakar, Ria Rushin JosephVariational Quantum AlgorithmsQubit

    Centre for Q. Info, Comm. and Computing, IIT Madras, Chennai 600036, India · Department of Electrical Engineering, IIT Madras, Chennai 600036, India · School of Information Technology, Deakin University, Burwood, Victoria 3125, Australia

  41. Doeblin Curves

    Jun 18, 2026Dongmin Lee, William Lu, Anuran Makur +1CurvesCoefficients

    Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA · Department of Computer Science and the Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA · Elmore Family School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907, USA

  42. A Variational Framework for LLM Generator-Regulator Games

    Jun 16, 2026Quanyan ZhuKullback-Leibler RegularizationLarge Language Model Generation

    Department of Electrical and Computer Engineering, Tandon School of Engineering, New York University, Brooklyn, NY, USA.

  43. INI-VPINN: A Variational Physics-Informed Neural Network with Implicit Neumann and Interface Handling for Multi-Material Domains with Geometric Singularities

    Jun 16, 2026Shayan Dodge, Alessandro Formisano, Sami BarmadaParametric Physics-Informed Neural NetworkVariational Formulation

    DESTeC, University of Pisa, Pisa, Italy · DESTeC University of Pisa Pisa, Italy · Department of Engineering, University of Campania Luigi Vanvitelli, Aversa, Italy +1

  44. Another Look at Log-PCA for Probability Measures: A Dynamical Formulation and Statistical Convergence

    Jun 15, 2026Peng Xu, Changbo Zhu, Young-Heon Kim +1Wasserstein DistanceProbability Measures

    Department of Statistics University of Illinois Urbana-Champaign · Department of ACMS University of Notre Dame · Department of Mathematics University of British Columbia +1

  45. Petrov-Galerkin Variational Physics-Informed Neural Network Framework for Two-Dimensional Singularly Perturbed Problems

    Jun 15, 2026Vijay Kumar, Gautam SinghVariational FormulationParametric Physics-Informed Neural Network

    Department of Mathematics, National Institute of Technology Tiruchirappalli, Tiruchirappalli, 620015, Tamil Nadu, India.

  46. Learning a Sampling-Free Variational DNN Plugin from Tiny Training Sets to Refine OOD Segmentation With Uncertainty Estimation

    Jun 14, 2026Jimut B. Pal, Suyash P. AwateSemi-Supervised Medical Image SegmentationOut-Of-Distribution

    Centre for Machine Intelligence and Data Science (C-MInDS), Indian Institute of Technology (IIT) Bombay, Mumbai · Computer Science and Engineering (CSE) Department, Indian Institute of Technology (IIT) Bombay, Mumbai

  47. Variational Network with Wavelet-based UNET in Accelerated MRI Reconstruction from Under Sampled K-space Data

    Jun 13, 2026Yasir Arafat Prodhan, Shaikh Anowarul FattahMagnetic Resonance Imaging ReconstructionMagnetic Resonance Imaging

    Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh · This paper was produced by the IEEE Publication Technology Group. They are in Piscataway, NJ.

  48. Variational Deep Unfolding with Mamba-Based Nonlocal Modeling for Underwater Image Enhancement

    Jun 10, 2026Daniel Torres, Julia Navarro, Catalina Sbert +1Underwater Image Enhancement MethodsDeep Unfolding Networks

    Institute of Applied Computing and Community Code (IAC3) · Dept. of Mathematics and Computer Science, Universitat de les Illes Balears, Cra. de Valldemossa km. 7.5, E-07122 Palma, Spain

  49. Large-scale empirical tuning and comparison of default optimizers for variational inference

    Jun 5, 2026Trevor Campbell, Jonathan H. Huggins, Kyurae Kim +1Variational InferenceVariational

    Department of Statistics, UBC · Department of Mathematics & Statistics, Boston University · Faculty of Computing & Statistics, Boston University +1

  50. Function-Space Priors for Bayesian Neural ODEs with Application to Vessel Trajectory Prediction

    Jun 4, 2026Jaeyeong Lee, Wonmo Koo, Heeyoung KimNeural Ordinary Differential EquationsBayesian Neural Networks

    aDepartment of Industrial and Systems Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.

  51. MeshFlow: Efficient Artistic Mesh Generation via MeshVAE and Flow-based Diffusion Transformer

    Jun 3, 2026Weiyu Li, Antoine Toisoul, Tom Monnier +4Mesh GenerationDiffusion Transformers

    Meta AI · Hong Kong University of Science and Technology

  52. L-TGVN: Leveraging Longitudinal Priors for Personalized Rapid MRI

    Jun 3, 2026Arda Atalık, Sumit Chopra, Daniel K. SodicksonMagnetic Resonance Imaging ReconstructionCone-Beam Computed Tomography

    NYU Center for Data Science, NY, USA · Center for Advanced Imaging Innovation and Research (CAI²R), Department of Radiology, NYU Grossman School of Medicine, NY, USA · Courant Institute of Mathematical Sciences, NY, USA +1

  53. VEDAL: Variational Error-Driven Asynchronous Learning for 3D Gaussian Splatting Pruning

    Jun 1, 2026Aoduo Li, Jiancheng Li, Huan Ye +5Novel View SynthesisUnstructured Pruning

    Guangdong University of Technology · Huizhou Boluo Power Supply Bureau, Guangdong Power Grid Co., Ltd. · Shenzhen Polytechnic University +1

  54. Variational Learning for Insertion-based Generation

    Jun 1, 2026Yangtian Zhang, Zhe Wang, Arthur Gretton +4Generative ModelsSequence Modeling

    1Yale University · 2Google DeepMind · University College London +1

  55. Adversarially Robust Control of Conditional Value-at-Risk via Rockafellar-Uryasev Conformal Inference

    May 29, 2026Catherine Chen, Jingyan Shen, Zhun Deng +1Conditional-Value-At-RiskConformal Risk Control

    Institute for Computational and Mathematical Engineering, Stanford University · Department of Computer Science, New York University · Department of Computer Science, University of North Carolina at Chapel Hill +1

  56. Active Continual Learning with Metaplastic Binary Bayesian Neural Networks

    May 28, 2026Kellian Cottart, Théo Ballet, Djohan Bonnet +1Bayesian Neural NetworksReplay-Based Continual Learning

    Université Paris-Saclay, CNRS, Centre de Nanosciences et de Nanotechnologies, Palaiseau, France · Forschungszentrum Jülich, Germany

  57. Hierarchical Variational Policies for Reward-Guided Diffusion

    May 20, 2026Kushagra Pandey, Farrin Marouf Sofian, Jan Niklas Groeneveld +2Diffusion SamplingDiffusion Models

    Department of Computer Science University of California Irvine

  58. Unified generalization analysis for physics informed neural networks

    May 13, 2026Yuka Hashimoto, Tomoharu IwataParametric Physics-Informed Neural NetworkNonlinear Operators

    1. NTT, Inc. · 2. RIKEN AIP

  59. BCJR-QAT: A Differentiable Relaxation of Trellis-Coded Weight Quantization

    May 11, 2026Venugopalan IyengarQuantization-Aware TrainingBackward Passes

  60. A Stability Benchmark of Generative Regularizers for Inverse Problems

    May 11, 2026Alexander Denker, Johannes Hertrich, Sebastian NeumayerBayesian Inverse ProblemsInverse Problem

    Helmholtz Imaging, Deutsches Elektronen-Synchrotron DESY, Germany · ENS Paris & Inria, France · Chemnitz University of Technology, Germany