Probabilistic Model

Momentum

12 papers in the last four weeks, up 9% on the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 109

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  1. Diagnosing and Improving Probabilistic Reasoning in Large Language Models

    Sep 29, 2026Huaman Sun, Dingcheng Wang, Jason Hartline +1LLM Reasoning StrategiesProbabilistic Model

  2. Inductive Feedback for Mixed-Policy Distillation

    Sep 28, 2026Amir Moeini, Huaijiang Zhu, Daniel Havir +1FeedbackAutoregressive Rollout

  3. Decision Hijacking: Prompt Injection Attacks on Jev's Typed Probabilistic Decisions

    Sep 23, 2026Tiantong Wu, Wei Yang Bryan LimIndirect Prompt InjectionHijacking

  4. Probabilistic Modelling of Operational Design Domains, A New Approach for Testing AI Systems

    Sep 21, 2026Hans-Werner WiesbrockProbabilistic ModelOntology

  5. BayesianGS-SLAM: Uncertainty-Aware Neural Rendering SLAM via Probabilistic Formulation

    Sep 21, 2026Kyeongsu Kang, Seongbo Ha, Sibaek Lee +1Gaussian Splatting Simultaneous Localization And Mapping SystemsOrb-Slam2

  6. Contributions to the hierarchy of probabilistic languages

    Sep 20, 2026Lothar Sebastian Krapp, Remo NitschkeContext-Free GrammarsProbabilistic Model

  7. PAA: The Probabilistic Allen Algebra: A Generative and Complete Probabilistic Extension of Allen's Interval Relations

    Sep 17, 2026Julian EggertProbabilistic ModelProbability

  8. Calibrated Probabilistic Obstruction Reasoning with Vision-Language Models for Grasping in Clutter

    Sep 16, 2026Thanh-Tuan Tran, Ngoc-Chien Chu, Thanh Nguyen Canh +3Robotic GraspingPerception Gap

  9. ThinkFlow: Self-Evolving Probabilistic Latent Memory for Lifelong Conversational Agents

    Sep 15, 2026Cai Ke, Xin Liu, Han Zhang +6Dialogue BenchmarksCognitive Science

  10. Structural priors for data-efficient language learning

    Sep 12, 2026Yana Veitsman, Jonas Mayer Martins, Jonathan Lautenschlager +1Large Language Model PretrainingLoss Function

  11. Induction and Inquiry via Probabilistic Reasoning over Language and Code

    Sep 1, 2026Wasu Top Piriyakulkij, Sam Acquaviva, Cassidy Langenfeld +2InductionLLM Reasoning Strategies

  12. Probabilistic Model Checking of Autoregressive Neural Sequence Models

    Sep 1, 2026Helge Spieker, Dennis Gross, Arnaud GotliebProbabilistic Model CheckingProbabilistic Model

  13. Learning the Geometry of Admissible Hypotheses through Inductive Bias in Training Distributions

    Aug 31, 2026James Crowley, Faez Ahmed, Anton van BeekPartial Differential EquationsHypothesis Class

  14. PAWBench: How Far Are We from Probabilistically Aligned World Modeling?

    Aug 27, 2026Yuandong Pu, Le Zhuo, Sayak Paul +11Generative Video ModelsPhysical Plausibility

  15. Foundations of MT-PDCL: Measure-Theoretic Probabilistic Definite Clause Logic

    Aug 13, 2026Costin Bădică, Amelia BădicăProbabilistic Model

  16. A Compositional Theory of Curvature in Probabilistic Circuits

    Aug 13, 2026Hrithik Suresh, Sahil Sidheekh, Shelar Parth Vijay +3Sharpness-Aware MinimizationProbabilistic Model

  17. Uncertainty-Aware Probabilistic Constrained Clustering from Entangled Pairwise Supervision

    Aug 12, 2026Shaojie Zhang, Ke ChenClusteringProbabilistic Model

  18. Every pooling rule has its world: matching probability combination rules to situations and stakes

    Aug 11, 2026Tanel Tammet, Priit Järv, Dirk DraheimProbabilityProbabilistic Model

  19. Beyond Direct Identifiers: Probabilistic Privacy Risk Estimation for Privacy-Conscious LLM Query Delegation

    Aug 10, 2026Li Siyan, Zhou Yu, Julia HirschbergPrivacyAnonymization

  20. A Probabilistic Circuit-Induced Pseudo-Metric for Out-of-Distribution Detection

    Aug 10, 2026Bhumika K, Vidhya S, Narayanan C KrishnanOut-Of-Distribution DetectionIn-Distribution

  21. From probability to causality in probabilistic logic programming

    Aug 7, 2026Zora Wurm, Kilian Rückschloß, Felix WeitkämperCausal ReasoningProbabilistic Model

  22. DocMemo: Dynamic Evidence Discovery via Probabilistic Memory-Guided Retrieval for Multi-Modal Document Understanding

    Aug 7, 2026Hanshu Yao, Janfeng Zhong, Niu Lian +1DocumentMulti-Hop Reasoning

  23. A Transferable Autologistic Model for Predicting Rare Failures in Heterogeneous Equipment

    Aug 7, 2026Islam Benamirouche, Djemel Ziou, Feriel FassPredictive MaintenanceProbabilistic Model

  24. PPDL: LLM-Based Flows as Probabilistic Programs

    Aug 5, 2026Louis Mandel, Guillaume Baudart, Mandana Vaziri +1Large Language Model UncertaintyLarge Language Model Workflows

  25. Diverse and Plausible Algorithmic Recourse via Tractable Recourse Distributions

    Aug 5, 2026Anagha Sabu, Hrithik Suresh, Narayanan C. KrishnanAlgorithmic CoresDistributions

  26. Tensor Probabilistic Model Checking of Finite-Horizon Markov Chains (Extended Version)

    Aug 1, 2026Jianlin Li, Nick Guo, Peter Ye +1Probabilistic Model CheckingMarkov

  27. Generating Bearing Vibration Signals at User-Specified Fault Probabilities Using PR-GAN and Counterfactual Methods

    Jul 21, 2026Seyed Mohammadreza Alavi, Ardeshir Shojaeinasab, Reza Jalayer +2VibrationFault Diagnosis

  28. RAMP: Recognition parametrisation by Amortised Message Passing

    Jul 21, 2026Lior Fox, Kai Biegun, James Heald +31B ParametersLatent Variable

  29. Probabilistic Physics-Informed Neural Networks for Estimating Heterogeneous Elastic Properties from Low-Resolution and Noisy Displacement Data

    Jul 16, 2026Tatthapong Srikitrungruang, Jaesung LeeParametric Physics-Informed Neural NetworkBayesian Inverse Problems

  30. PeTeR: Post-Training Robustification of Probabilistic Circuits

    Jul 8, 2026Adrian Ciotinga, Yeming Dai, YooJung ChoiDistributionally-Robust OptimizationProbabilistic Model

  31. Set-Inclusive Uncertainty Modeling for Robust Brain Tumor Segmentation

    Jun 29, 2026Seunghun Baek, Jihwan Park, Jaeyoon Sim +3Brain Tumor SegmentationMagnetic Resonance Imaging

  32. Propagation ofInterval Belief Structures andImprecise Copulas for~Neural Network Verification

    Jun 29, 2026Francesc Pifarre-Esquerda, Eric Goubault, Sylvie PutotNeural Network VerificationGaussian Copula

  33. Data-Driven Energy-Based Learning via Gibbs Measures on Hierarchical Structures

    Jun 29, 2026L. U. Abdullaev, F. Herrera, U. A. Rozikov +1GibbsTransition Learning

  34. Sample-Efficient Learning of Probabilistic Causes for Reachability in Markov Decision Processes with Probabilistic Guarantees

    Jun 29, 2026Ryohei Oura, Georgios Fainekos, Hideki Okamoto +1Markov Decision ProcessesReachability

  35. A Theoretical Interpretation of In-Context Learning via Probabilistic Modeling

    Jun 27, 2026Zhenyu Liu, Huaze Tang, Shao-Lun HuangIn-Context LearningProbabilistic Model

  36. Reduction of Probabilistic Chemical Reaction Networks

    Jun 26, 2026Mauricio Montes, Gregoire Sergeant-PerthuisProbabilistic ModelReaction

  37. A probabilistic framework for online test-time adaptation

    Jun 24, 2026Daniel Corrales, David Ríos InsuaTest-Time AdaptationDistribution Shifts

  38. Confidence Sequences for Online Statistical Model Checking of Markov Decision Processes

    Jun 24, 2026Konstantin Kueffner, Tobias Meggendorfer, Maximilian Weininger +1Markov Decision ProcessesProbabilistic Model Checking

  39. Prob-BBDM: a Probabilistic Brownian Bridge Diffusion Model for MRI sequence image-to-image translation

    Jun 23, 2026Martin Valls, Pascal Bourdon, Christine Fernandez-Maloigne +2Unpaired Image-To-Image TranslationMedical Image Generation

  40. The Measurable Majority

    Jun 22, 2026Lawrence S. Moss, Arthur Paul PedersenMajority VotingElections

  41. Neural Operator Processes for Probabilistic Operator Learning under Partial Observations

    Jun 22, 2026Jose Miguel Lara-Rangel, Serge GuillasProbabilistic Operator LearningNeural Operators

  42. A Tool for the Synthesis of Adaptive Probabilistic Processors Based on the Ising Model

    Jun 17, 2026Jonathan Juracy Carneiro da Silva, Leonardo R. Gobatto, Jose Rodrigo AzambujaGibbsQuantum Annealing

  43. Random coloured digraphs defined by a Markov logic network

    Jun 16, 2026Yasmin Tousinejad, Vera KoponenProbabilistic ModelMarkov

  44. Uncertainty Estimation and Generalization Bounds for Modern Deep Learning

    Jun 11, 2026Luis A. OrtegaBayesian Neural NetworksUncertainty-Aware Classification

  45. A practical probabilistic framework for deformable image registration uncertainty in radiotherapy dose propagation

    Jun 8, 2026Stefan Heldmann, Sven Kuckertz, Nasim Givehchi +4RadiotherapyImage Registration

  46. How reliable are LLMs when it comes to playing dice?

    Jun 5, 2026Luca Avena, Gianmarco Bet, Bernardo BusoniLLM Reasoning StrategiesProbabilistic Model

  47. FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance

    Jun 2, 2026Jiaze Sun, Kelvin J. L. Koa, Ruiyang Ni +3Time Series ForecastingFinance Benchmarks

  48. French parsing enhanced with a word clustering method based on a syntactic lexicon

    May 30, 2026Anthony Sigogne, Matthieu Constant, Eric LaporteContext-Free GrammarsLuxembourgish

  49. Composing Non-Conjugate Factor Graphs with Closed-Form Variational Inference

    May 28, 2026Mykola Lukashchuk, Kyrylo Yemets, Wouter M. Kouw +4Variational InferenceFactor Graphs

  50. Probabilistic bias adjustment of seasonal forecasts using generative machine learning: A case study of Arctic sea ice predictions

    May 27, 2026Parsa Gooya, Reinel Sospedra-AlfonsoSea-Surface Temperature DataConditional Variational Autoencoder

  51. Probabilistic Data-Driven Modelling of Astrophysical Transients: The Neural Process Family for Ultrafast and Class-Agnostic Light Curve Reconstruction with NightLANP

    May 26, 2026Siddharth Chaini, Federica B. Bianco, Ashish MahabalCosmic-Ray Syntactic PoolGaussian Process