Skip to content
AI Atlas
Research

Papers

Publications linked to models, labs and benchmarks. Authors, venues and abstracts come from arXiv and publisher pages.

50 total

Reset
Papers
TitleAuthorsPublishedCategoriesOrganization / venueQuality
Conformal Calibration TransferarXiv:2609.10737Achref Doula11 Sept 2026cs.LG—89
Flow Duality and Source Geometry for Categorical GenerationarXiv:2609.10863Etrit Haxholli11 Sept 2026cs.LG—89
Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and SymmetryarXiv:2609.10879Mo Zhou, Weihang Xu, Simon S. Du +111 Sept 2026cs.LG—89
Relatively Smart II: Tractable or Semi-Supervised Instance-Optimal LearningarXiv:2609.10886Shaddin Dughmi, Alireza F. Pour11 Sept 2026cs.LG—89
AUC Maximization from Biased Positive-unlabeled Data with ConfidencearXiv:2609.10928Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +211 Sept 2026cs.LG—89
Phases in a class of associative memories via hidden neuronsarXiv:2609.10976Toshihiro Ota, Masato Taki11 Sept 2026cs.LG—89
Importance Weighting for Unlabeled-unlabeled Learning under Distribution ShiftarXiv:2609.10994Atsutoshi Kumagai, Tomoharu Iwata, Hiroshi Takahashi +211 Sept 2026cs.LG—89
How Wrong Can a Good Predictor Be? Diverging Updates with Vanishing Predictive KLarXiv:2609.11132Qifu Wen, Shuaijun Liu, Zihan Zhou +211 Sept 2026cs.LG—89
Hierarchical Clustering Can Jointly Satisfy Richness, Consistency, and Scale InvariancearXiv:2609.11173Daichi Kuroda, Maximilien Dreveton, Matthias Grossglauser +111 Sept 2026cs.LG—89
Generalized Score Matching for Parameter Estimation on Convex DomainsarXiv:2609.11521Nishanth Shetty, Saisuchith Mahajan, Chandra Sekhar Seelamantula11 Sept 2026cs.LG—89
RDDMPI: Residual Denoising Diffusion Model for Probabilistic Multivariate Time Series ImputationarXiv:2609.11648Ramiro Valdes Jara, David Chapman, Adam Meyers11 Sept 2026cs.LG—89
General Quantification of Covariate and Concept ShiftsarXiv:2609.11918Hongbo Chen, Li Charlie Xia11 Sept 2026cs.LG—89
Supply Chain Analytics: A Data-Driven ApproacharXiv:2609.10563Elioth Sanabria11 Sept 2026math.OC—89
Black-Box Membership Inference via Word-Level Probability EstimationarXiv:2609.10611Shengjie Niu, Yeheng Ge, Jian Huang11 Sept 2026cs.CR—89
A Quantum-Inspired Dequantization Method for Diagonally Weighted Matrix Functions: Application to Learning with Optimized Random FeaturesarXiv:2609.10729Natsuto Isogai, Mio Murao, Hayata Yamasaki11 Sept 2026quant-ph—89
Weighted Empirical Risk Minimization for Machine Learning under Long-Range Dependence: Exact Pathwise Rates and Learning-Error GeometryarXiv:2609.10767Elina Moldavskaya11 Sept 2026stat.ML—89
A Hilbert-Valued Functional Decomposition Framework for Explaining Time-Dependent OutputsarXiv:2609.11295Sophie Hanna Langbein, Niklas Koenen, Marvin N. Wright +111 Sept 2026stat.ML—89
Your Model Already Knows Don't Teach It, Learn to Ask It: Soft Prompting for Few-Shot Adaptation of Vision-Language ModelsarXiv:2609.11310Gautam Rajendrakumar Gare, Siyi Li, Hewei Wang +211 Sept 2026cs.CV—89
Improving the Sensitivity of Gravitational Wave Detection with Weighted Conformal PredictionarXiv:2609.11401Ann-Kristin Malz, Gregory Ashton, Nicolo Colombo11 Sept 2026gr-qc—89
Risk-Averse Decision Making with Multi-Level Reliability GuaranteesarXiv:2609.11524Amirmohammad Farzaneh, Osvaldo Simeone11 Sept 2026stat.ML—89
A distribution-free certification framework for trustworthy crash-severity predictionarXiv:2609.11592Amir Rafe, Subasish Das11 Sept 2026stat.ML—89
Identifiability of Nonnegative Tensor Decompositions via Positive ScatteringarXiv:2609.11606Haoming Wang, Ming Yuan11 Sept 2026stat.ML—89
Generalization Analysis of Distributed Kernel-based Robust Gradient Descent AlgorithmsarXiv:2609.11712Jun-Yi Meng, Zheng-Chu Guo, Yuan Mao11 Sept 2026stat.ML—89
Sparsity Regularized and Robust Mean Variance Portfolio Selection Under Ellipsoidal UncertaintyarXiv:2609.11749Deniz Akkaya, Emre Can Yayla, Buse \c{S}en +111 Sept 2026math.OC—89
Near-Optimal Reinforcement Learning with Multi-Step Transition LookaheadarXiv:2609.11807Corentin Pla, Hugo Richard, Marc Abeille +111 Sept 2026stat.ML—89
Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM ForecastingarXiv:2609.11872Bowen Zhang, Hsiu-Wen Cheng, Hongyu Yang +211 Sept 2026stat.ML—89
Generative Marketing Mix Modeling: A Causal Inference Framework Linking GEO and GEM to Business ImpactarXiv:2609.11915Masahiro Kato, Daiki Honma, Taka Kato11 Sept 2026stat.ML—89
Label Differential Privacy via AggregationarXiv:2310.10092Anand Brahmbhatt, Rishi Saket, Shreyas Havaldar +211 Sept 2026cs.LG—89
Autonomous-Flow-Based GenerationarXiv:2511.09902Hossein Rouhvarzi, Anastasis Kratsios11 Sept 2026cs.LG—89
Generalization Guarantees on Data-Driven Tuning of Gradient Descent with Langevin UpdatesarXiv:2604.13130Saumya Goyal, Rohith Rongali, Ritabrata Ray +111 Sept 2026cs.LG—89
Revenge of Monosemanticity: Neuron Specialization as a New Form of Feature Learning in MLPsarXiv:2608.24007Amirhesam Abedsoltan, Enric Boix-Adsera, Fivos Kalogiannis +111 Sept 2026cs.LG—89
Fisher-Rao Gradient Flows of Linear Programs and State-Action Natural Policy GradientsarXiv:2403.19448Johannes M\"uller, Semih \c{C}ayc{\i}, Guido Mont\'ufar11 Sept 2026math.OC—89
Sublinear Variational Optimization of Gaussian Mixture Models with Millions to Billions of ParametersarXiv:2501.12299Sebastian Salwig, Till Kahlke, Florian Hirschberger +211 Sept 2026stat.ML—89
The observational partial order of causal structures with latent variablesarXiv:2502.07891Marina Maciel Ansanelli, Elie Wolfe, Robert W. Spekkens11 Sept 2026stat.ML—89
Near-optimal estimates for the $\ell^p$-Lipschitz constants of deep random ReLU neural networksarXiv:2506.19695Sjoerd Dirksen, Patrick Finke, Paul Geuchen +211 Sept 2026stat.ML—89
Test time training enhances in-context learning of nonlinear functionsarXiv:2509.25741Kento Kuwataka, Taiji Suzuki11 Sept 2026stat.ML—89
Statistical analysis of Inverse Entropy-regularized Reinforcement LearningarXiv:2512.06956Denis Belomestny, Alexey Naumov, Artemy Rubtsov +111 Sept 2026stat.ML—89
Bilateral Trade Under Heavy-Tailed Valuations: Minimax Regret without a Variance BoundarXiv:2603.06851Hangyi Zhao11 Sept 2026stat.ML—89
Continuous Diffusion Scales Competitively with Discrete Diffusion for LanguagearXiv:2605.18530Zhihan Yang, Wei Guo, Shuibai Zhang +211 Sept 2026cs.CL—89
Goal-Oriented Lower-Tail Calibration of Gaussian Processes for Bayesian OptimizationarXiv:2605.20145Aur\'elien Pion, Emmanuel Vazquez11 Sept 2026stat.ML—89

Author lists and categories are copied from the paper's own metadata (arXiv, publisher). Each paper page shows the abstract, related models and every source snapshot.