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arXiv paper: General Quantification of Covariate and Concept Shifts
A new arXiv AI paper by Hongbo Chen and Li Charlie Xia studies General Quantification of Covariate and Concept Shifts.
arXiv AI/ML / 5:56 PM
arXiv paper: From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good
A new arXiv AI paper by Nitesh V. Chawla and Paulo Benanti studies From Protocols to Evidence: Bounded Claims for AI in Service of the Common Good.
arXiv AI/ML / 5:55 PM
arXiv paper: TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription
A new arXiv AI paper by Akshaj Gupta, Hwi Joo Park, and Andrea Guzman, and 5 more studies TART: A Modular Tool for Technique-Aware Audio-to-Tablature Guitar Transcription.
arXiv AI/ML / 5:53 PM
arXiv paper: CausalArena: Benchmarking Causal Discovery in the Foundation Model Era
A new arXiv AI paper by Zi-Rong Li, Si-Yang Liu, and Tian-Zuo Wang, and 1 more studies CausalArena: Benchmarking Causal Discovery in the Foundation Model Era.
arXiv AI/ML / 5:52 PM
arXiv paper: 3D Point Splatting for mmWave Radar Novel View Synthesis
A new arXiv AI paper by Adnan Armouti, Yixuan Gao, and Rajalakshmi Nandakumar studies 3D Point Splatting for mmWave Radar Novel View Synthesis.
arXiv AI/ML / 5:49 PM
arXiv paper: CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search
A new arXiv AI paper by Yifan Yang, Zhaoyan Wang, and Zheng Gao, and 2 more studies CoRA-NAS: Coarse Ranking and Anchor-Residual Refinement for Neural Architecture Search.
arXiv AI/ML / 5:45 PM
arXiv paper: Domain-Specific Hallucination Detection in Large Language Models
A new arXiv AI paper by Varun Teja Chundru and Debasmita Biswas studies Domain-Specific Hallucination Detection in Large Language Models.
arXiv AI/ML / 5:44 PM
arXiv paper: The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement
A new arXiv AI paper by Yi Duan, Ying Liu, and Zirui Tang, and 30 more studies The Last AI Built by Humans: Toward Genuine Recursive Self-Improvement.
arXiv AI/ML / 5:43 PM
arXiv paper: Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting
A new arXiv AI paper by Bowen Zhang, Hsiu-Wen Cheng, and Hongyu Yang, and 9 more studies Evaluating Time-Series Foundation Models and Multimodal Dietary Context for CGM Forecasting.
arXiv AI/ML / 5:42 PM
arXiv paper: AdamX: Cosine similarity meets gradient descent
A new arXiv AI paper by Francisco Caldas, Ruben Belo, and Cláudia Soares studies AdamX: Cosine similarity meets gradient descent.
arXiv AI/ML / 5:58 PM
arXiv paper: Likelihood-free inference with nuisance parameters through normalizing flows
A new arXiv AI paper by Phil Assheton studies Likelihood-free inference with nuisance parameters through normalizing flows.
arXiv AI/ML / 5:57 PM
arXiv paper: A positive resolution of the gap-entropy conjecture
A new arXiv AI paper by P. M. Aronow, Nathan Kallus, and Patrick Lopatto studies A positive resolution of the gap-entropy conjecture.
arXiv AI/ML / 5:54 PM
arXiv paper: Characterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width Hierarch
A new arXiv AI paper by Xiaoyu Li, Andi Han, and Jiaojiao Jiang, and 1 more studies Characterizing Language Generation in the Limit: Finite Witnesses and a Separation-Width Hierarch.
arXiv AI/ML / 5:48 PM
arXiv paper: Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements
A new arXiv AI paper by Ashwin Nayak and Xingyu Zhou studies Optimal Low-Rank Quantum State Tomography with Bounded-Sample Joint Measurements.
arXiv AI/ML / 5:41 PM
arXiv paper: Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers
A new arXiv AI paper by Menachem Finkelstein, Diana Legziel Levy, and Zohar Yakhini, and 1 more studies Quantum Feature Engineering for Credit Default Prediction: When and Why IQP Circuits Help Linear Classifiers.
arXiv AI/ML / 5:32 PM
arXiv paper: Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation
A new arXiv AI paper by Siddharth Gupta and Jitin Singla studies Cross-Model Agreement as a Deployment-Time Reliability Signal for Automatic Polyp Segmentation.
arXiv AI/ML / 5:31 PM
arXiv paper: IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier
A new arXiv AI paper by Blake Stenstrom, Charangan Vasantharajan, and Brian Sathianathan studies IBIB: A Protocol for Measuring Enterprise AI Systems by Serving Route, Not Model Identifier.
arXiv AI/ML / 5:28 PM
arXiv paper: Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs
A new arXiv AI paper by Saurabh Sihag, Andrea Cavallo, and Elvin Isufi, and 2 more studies Learning with Covariance Matrices: Principal Component Analysis Meets Learning with Graphs.
arXiv AI/ML / 5:26 PM
arXiv paper: Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification
A new arXiv AI paper by Weifeng Yang studies Nonmaximal sums of maximally monotone operators under Rockafellar's constraint qualification.
arXiv AI/ML / 5:19 PM
arXiv paper: Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems
A new arXiv AI paper by Ian C. Guzmán, Radu Babiceanu, and Berker Peköz studies Deep Learning-Based Detection of Electrical Faults and Power Quality Disturbances in Aerospace Power Systems.
arXiv AI/ML / 5:08 PM
arXiv paper: Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization
A new arXiv AI paper by Andy Zeyi Liu, Haoran Sun, and Lucas Baker, and 2 more studies Semigroup-JEPA: Latent Dynamics Consistency for Zero-Shot Physics Generalization.
arXiv AI/ML / 5:59 PM
arXiv paper: Learning Length-Extrapolatable Recurrent Models
A new arXiv AI paper by Hanwen Jiang studies Learning Length-Extrapolatable Recurrent Models.
arXiv AI/ML / 5:59 PM
arXiv paper: Silver Rate Is (Almost) Optimal for Gradient Descent Acceleration
A new arXiv AI paper by Yuhan Ye and Kaizhao Liu studies Silver Rate Is (Almost) Optimal for Gradient Descent Acceleration.
arXiv AI/ML / 5:56 PM
arXiv paper: NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting
A new arXiv AI paper by Tobias Susetzky, Raphael Rehms, and Dmitrii Seletkov, and 5 more studies NOAH: Learning the Full Patient Journey. A Longitudinal Multimodal Time-Aware Model for Representation and Forecasting.
arXiv AI/ML / 5:54 PM
arXiv paper: Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation
A new arXiv AI paper by Jiacheng Xu, Feng Chen, and Xiuneng Xu, and 1 more studies Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation.
arXiv AI/ML / 5:53 PM
arXiv paper: Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks
A new arXiv AI paper by Xiaoyu Li, Zhizhou Sha, and Jiaojiao Jiang, and 2 more studies Nearly Tight Rademacher Bounds for Sparsely Activated Neural Networks.
arXiv AI/ML / 5:51 PM
arXiv paper: A Generalization of Amari's Bayesian Duality
A new arXiv AI paper by Mohammad Emtiyaz Khan and Thomas Möllenhoff studies A Generalization of Amari's Bayesian Duality.
arXiv AI/ML / 5:46 PM
arXiv paper: When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay
A new arXiv AI paper by Hasan Amin, Wei-Kai Chang, and Rajiv Khanna studies When Does Scale-Invariant Optimization Become Unstable? An Exact Schedule Law with Weight Decay.
Latest story in this edition: 5:57 PM
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