001 Meteosat Third Generation imagery improves CNN-based SSI retrieval arXiv Paper Gordei Pribõtkin et al. 2 days ago 002 DoTime: A Synthetic Benchmark Generator for Interventional and Counterfactual Time Series arXiv Paper Dennis Thumm, Billy Tim Anthony et al. 3 days ago 003 Origins and mitigation of double descent in reduced order modeling arXiv Paper A. Klishin, J. Kutz et al. 3 days ago 004 Computer Vision Based Neurology Brain Activity Rejection Architecture and Implementation arXiv Paper Zag ElSayed, Makoto Miyakoshi et al. Jul 22 005 Hypothesis-and-Refinement Learning of Organic Structures from Multimodal Spectroscopic Data arXiv Paper Chengchun Liu, Zhiyuan Yan et al. Jul 22 006 Deep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts arXiv Paper A. Maghami, M. Stender et al. Jul 21 007 Tensor Network Machine Learning for Wildfire Susceptibility Mapping: from Grokking Dynamics to Quantum Mixedness of Class Representations arXiv Paper Domenico Pomarico, A. Costantino et al. Jul 21 008 Uncertainty quantification in mechanics: A unified Bayesian perspective arXiv Paper Sascha Ranftl, M. Rolf et al. Jul 21 009 Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough arXiv Paper Gaia Grosso, Vinicius Mikuni et al. Jul 10 010 Higher-Order Geometric Updates for Levenberg-Marquardt Method via Riemann Normal Coordinates arXiv Paper Jianing Liu, Dong H. Zhang Jul 8 011 Stable Sentiment and Persistent Dynamics in U.S. Economic News over 45 Years arXiv Paper L. E. Rocha Jul 7 012 Factorizable Normalizing Flows for parameter-dependent density morphing arXiv Paper D. Valsecchi, M. Donega et al. Jun 29 013 Scalar Representations of Neural Network Training Dynamics arXiv Paper Pedro Jim'enez-Gonz'alez, Miguel C. Soriano et al. Jun 29 014 Anti-Collapse Dynamics and the Emergence of Multi-Time-Scale Learning in Recurrent Neural Networks arXiv Paper L. Livi Jun 28 015 Kolmogorov Arnold networks (KAN) for aerodynamic prediction: a comparison with MLPs and GNNs arXiv Paper Miguel Jaraiz, F. Gutiérrez et al. Jun 25 016 Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics arXiv Paper Rikab Gambhir, L. Lucie-Smith et al. Jun 24 017 \chisao{}: A GPU-Native Parallel Optimizer for Multimodal Black-Box Functions via Convergence-Anticonvergence Oscillation arXiv Paper Ira Wolfson Jun 24 018 The Degeneracy Distillery arXiv Paper T. Makinen, D. Bartlett et al. Jun 22 019 Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy arXiv Paper Yifan Wang Jun 22 020 What Do Lorentz-Equivariant Jet Taggers Learn? arXiv Paper J. Agarwal, Siddhartha Khare et al. Jun 19 021 Statistical Properties of Training & Generalization arXiv Paper Itay Lavie, N. Levi et al. Jun 18 022 Latent space mapping of interpretable structural coordinates from stochastic single-molecule signals arXiv Paper M. Cartiglia, Sandro Kuppel et al. Jun 15 023 GPT-Based Fast Simulation of CLAS12 Detector Hits via Conditional Autoregressive Generation arXiv Paper Cole Granger, J. Giroux et al. Jun 14 024 The limits of interpretability in multiple linear regression arXiv Paper Anand Sharma, Chen Liu et al. Jun 14 025 Harnessing cortical geometry, wiring, and function as inductive biases for recurrent neural networks arXiv Paper M. Shakiba, Rana Rokni et al. Jun 12 026 Machine-learned particle flow as a foundation model for collider physics arXiv Paper Farouk Mokhtar, J. Pata et al. Jun 12 027 Peak-Based Nuclide Identification in HPGe $γ$-Spectrometry with Machine Learning and SHAP arXiv Paper Samuel Emmons, K. Truax et al. Jun 12 028 Symmetry-electronic fingerprints reveal competing magnetic phases in two-dimensional materials arXiv Paper Addis Fuhr et al. Jun 11 029 Spatially Masked Regression Reveals Local and Distributed Predictability in Electrophysiological Recordings arXiv Paper Maryam Ostadsharif Memar, Nima Dehghani Jun 9 030 Effective Training Principles of Physical Reservoirs arXiv Paper Sobhi Saeed, Mehmet Muftuoglu et al. Jun 8 031 Integrating Out, Twice:The Open-System Case That Neural-Network Ensemble Theory Is Missing arXiv Paper Jin Lei Jun 8 032 Quantitative Promise Theory: Intentionality and Inference in Autonomous Agents arXiv Paper M. Burgess Jun 7 033 Vector Space of Cycles arXiv Paper Moo K. Chung, Anass B. El-Yaagoubi et al. Jun 6 034 Unified Geometry-Guided ML-FTLE for Tracking Transient Chaos from Scalar Time Series arXiv Paper S.V. Manivelan, Andrei Velichko et al. Jun 5 035 Predicting the Neutrino Mass Ordering Using Neural Networks arXiv Paper T. Bezerra, L. Asquith et al. Jun 2 036 Forecasting threshold exceedance of atmospheric variables at a specific location arXiv Paper Roberta Baggio et al. May 29 037 Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice arXiv Paper O. Amram, Marco Letizia et al. May 29 038 Generative Models and Statistical Validation arXiv Paper S. Diefenbacher, Sofia Palacios Schweitzer et al. May 28 039 The Score Hamiltonian: Mapping Diffusion Models to Adiabatic Transport arXiv Paper P. Halmos, Boris Hanin May 28 040 The Topological Stability Index: A Variance-Based Measure for Persistence Barcodes arXiv Paper Joris Kirchner et al. May 28 041 Diagnosing the conditional-mean barrier in scientific machine-learning surrogates arXiv Paper Junfeng Chen May 27 042 Neural Scaling Laws for Jet Generation arXiv Paper O. Amram, D. Faroughy et al. May 27 043 A Systematic Study of Behavioral Cloning for Scientific Data Annotation arXiv Paper I. Chandok, Core Francisco Park May 26 044 Towards Continuous-time Causal Foundation Models arXiv Paper Dennis Thumm, Ruben Wiedemann et al. May 26 045 Agreement Metrics for LLM-as-Judge Evaluation: What to Report and Why arXiv Paper D. Rao, Christopher Callison-Burch May 25 046 A Unified Framework for Structured Flow Modeling: From Representation to Verification and Model Discovery arXiv Paper D. Casadei May 18 047 Activation Functions, Statistics and Learning of Higher-Order Interactions in Restricted Boltzmann Machines arXiv Paper Giovanni di Sarra, Yasser Roudi May 18 048 Integrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation arXiv Paper Hayato Okubo et al. May 17 049 Conditional Entropy of Heat Diffusion on Temporal Networks arXiv Paper Samuel Koovely, Alexandre Bovet May 15 050 CVEvolve: Autonomous Algorithm Discovery for Unstructured Scientific Data Processing arXiv Paper Ming Du, Xiangyu Yin et al. May 12 051 Partial Effective Information Decomposition for Synergistic Causality arXiv Paper Ming Yang, Shuo Wang et al. May 5 052 KANs need curvature: penalties for compositional smoothness arXiv Paper J. Bagrow May 4 053 Testing General Relativity Through Gravitational Wave Classification: A Convolutional Neural Network Framework arXiv Paper L. Heisenberg, Shayan Hemmatyar et al. May 4 054 When Attention Collapses: Residual Evidence Modeling for Compositional Inference arXiv Paper Niklas Houba May 4 055 Toward a Scientific Discovery Engine for Weather and Climate Data: A Visual Analytics Workbench for Embedding-Based Exploration arXiv Paper N. Cherukuru, Matt Rehme et al. May 1 056 Physically-Informed Fuzzy Clustering of Vertical Sounding Ionograms arXiv Paper Oleg I. Berngardt et al. Apr 30 057 Advancing multi-site emission control: A physics-informed transfer learning framework with mixture of experts for carbon-pollutant synergy arXiv Paper Yuxuan Ying, Hanqing Yang et al. Apr 29 058 Anomaly Detection in Soil Heavy Metal Contamination Using Unsupervised Learning for Environmental Risk Assessment arXiv Paper I. Adjokatse, S. Koranteng et al. Apr 29 059 Smart Ensemble Learning Framework for Predicting Groundwater Heavy Metal Pollution arXiv Paper T. Ansah-Narh, G. Y. Afrifa et al. Apr 29 060 Emergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics arXiv Paper Arnau Vivet, Alex Arenas Apr 28