Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics
Rikab Gambhir, Luisa Lucie-Smith, Jesse Thaler
Data Analysis papers — page 3
physics.data-anBrowse archive
Where Is My Physics Wrong? Localized and Identifiable Discovery of Model Discrepancy
Yifan WangOptimal and Adaptive Bayesian Sampling for Non-Linear Parameter Estimation under White Noise
Lennart H. Bosch, Martin B. PlenioA Numerical Rosenblatt Method for Forced Variable Independence
Radek Vavřička, Tomáš SýkoraPeak-Based Nuclide Identification in HPGe γ-Spectrometry with Machine Learning and SHAP
Samuel Emmons, Kelly Truax, Maurice Lonsway et al.A Unified Framework for Structured Flow Modeling: From Representation to Verification and Model Discovery
Diego CasadeiInterpretable model-free inference of parametric variation across time-series data through large-scale feature extraction
Ben D. Fulcher, Carl H. Lubba, Giorgio F. Gilestro et al.Information bottleneck for learning the phase space of dynamics from high-dimensional experimental data
K. Michael Martini, Eslam Abdelaleem, Paarth Gulati et al.Accurate Estimation of Mutual Information in High Dimensional Data
Eslam Abdelaleem, K. Michael Martini, Ilya NemenmanConfidence, Statistical Evidence and Relative Belief with Applications to a Problem in Particle Physics
Michael Evans, Siqi ZhengDesign Principles for AI-Ready QCD Data with a Barrel Imaging Calorimeter Application
Zhiwan Xu, Sylvester Joosten, Minho Kim et al.The BRUIT-FM "open data" noise reduction challenge
Wayne C Crawford, Stephan Ker, Simon Rebeyrol et al.A practical methodology for Λ global polarization extraction in fixed-target experiments
Tan Lu, Chengdong Han, Chenlu Hu et al.The High W Challenge: Robust Neutrino Energy Estimators for LArTPCs
Christopher Thorpe, Elena GramelliniHigher-order spacings in the superposed spectra of random matrices with comparison to spacing ratios and application to complex systems
Sashmita Rout, Udaysinh T. BhosaleProton High-Order Cumulants in Au+Au Collisions at High Baryon Density from JAM with a Centrality-Independent Framework
Yongcong Xu, Zhaohui Wang, Yu Zhang et al.Model-Agnostic Signal Discovery with Machine Learning: Bridging the Gap Between Theory and Practice
Oz Amram, Marco Letizia, Mikael KuuselaFitED: A User-Centric, Extensible Software Environment for Robust Peak-Profile and General Functional Data Fitting
Mustafa Mahmoud AboulsaadOn the Statistical Interpretation of Discoveries in LHC Data
S. V. Chekanov, E. J. WeikIntegrating Bayesian Spectral Deconvolution and Expert Scientific Reasoning for Robust Peak Estimation
Hayato Okubo, Yoshifumi Amamoto, Toshimitsu Aritake et al.Double Metric Learning for Building Directed Graphs with Chain Connections for the ATLAS ITk Detector
Jay ChanEmergent Self-Attention from Astrocyte-Gated Associative Memory Dynamics
Arnau Vivet, Alex ArenasBayesian approach for uncertainty quantification of hybrid spectral unmixing in γ-ray spectrometry
Dinh Triem Phan, Jérôme Bobin, Cheick Thiam et al.Application of a Mixture of Experts-based Foundation Model to the GlueX DIRC Detector
Cristiano Fanelli, James Giroux, Cole Granger et al.Development of an LLM-Based System for Automatic Code Generation from HEP Publications
Masahiko Saito, Tomoe Kishimoto, Junichi Tanaka