204 AI-related papers from EuCAIF fellows in the last 12 months, automatically collected from INSPIRE HEP.

Oct 2026

Search for dark matter produced in association with a low-multiplicity jet in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Hayrapetyan, Aram et al.

arXiv →
Sep 2026

Measurement of the triple-differential cross section of Z+jet production in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Gevorgyan, Arzunik et al.

arXiv →
Sep 2026

Scaling Collider Event Generation with Residual-Quantized Tokens

Godi, Dan, Kobylianskii, Dmitrii, Gross, Eilam

arXiv →
Sep 2026

Prompting Particle Physics: Tokenized Multi-modal Foundation Models for Combinatorially Many Tasks

Kakati, Nilotpal et al.

arXiv →
Sep 2026

Point-cloud generative models for fast calorimeter simulation across particles and geometries

Buss, Thorsten et al.

arXiv →
Sep 2026

Cross-geometry transfer and model collapse in point cloud calorimeter shower generation

Buss, Thorsten et al.

arXiv →
Sep 2026

Search for a top-philic heavy resonance in association with top quarks in $pp$ collisions at $\sqrt{s} = $ 13 TeV and 13.6 TeV with the ATLAS detector

Aad, Georges et al.

arXiv →
Sep 2026

Jevons' Paradox and Fast Generative Simulation for HEP: Why Realistic Benchmarking is Essential

Buss, Thorsten et al.

arXiv →
Sep 2026

Domain Adaptation against Background Sculpting in Anomaly Detection at the LHC

Benne, Vincent et al.

arXiv →
Sep 2026

Calibration of electromagnetic shower features in the CMS calorimeter with machine-learning techniques

Gevorgyan, Arzunik et al.

arXiv →
Sep 2026

Knowledge Distillation of a Normalising Flow for Real-Time Anomaly Detection at LHC Level-1 Trigger

Abson, Jaiman et al.

arXiv →
Sep 2026

Search for a light pseudoscalar Higgs boson in final states with boosted muon pairs and tau lepton pairs in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Gevorgyan, Arzunik et al.

arXiv →
Sep 2026

The Wavelet Detection Filter: a real time unmodeled pipeline for gravitational wave transients, ranking coincidences with a graph neural network

Cuoco, Elena

arXiv →
Aug 2026

The Analysis, not the Aperture: End-to-End Transformer Reconstruction for Imaging Atmospheric Cherenkov Telescopes

Jobst, Elli et al.

arXiv →
Aug 2026

Anomaly detection for multijet scenarios

Kasieczka, Gregor et al.

arXiv →
Aug 2026

Localizing Global Discrepancies: Marginal Contributions and Contextual Anomaly Detection

dorigo, Tommaso

arXiv →
Aug 2026

Cross-simulator transfer with foundation model summaries: Towards robust SKA-era reionization inference

Pietschke, Yannic et al.

arXiv →
Aug 2026

Differentiable Parametric Simulation and Reconstruction Models in Parnassus

Elabd, Abdelrahman et al.

arXiv →
Aug 2026

Know What You Don't Flow

Butter, Anja et al.

arXiv →
Aug 2026

Learning Topological Features of $\widehat Z$-invariants

Robinson, Brandon et al.

arXiv →
Aug 2026

NAE, Statistically

Das, Ranit et al.

arXiv →
Aug 2026

Search for anomalous couplings in WW and WZ production with single-lepton final states in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Gevorgyan, Arzunik et al.

arXiv →
Aug 2026

Transferable Fast Calorimeter Shower Generation via Multi-Geometry Pre-training

Buss, Thorsten et al.

arXiv →
Aug 2026

VERaiPHY -- Validation & Evaluation for Robust AI in PHYsics

Grosso, Gaia et al.

arXiv →
Aug 2026

Pairton: Iterative Reconstruction of Short-Lived Particles

Hermansen, Andreas, Scheulen, Chris, Golling, Tobias

arXiv →
Aug 2026

Unknown Unknowns: Model Misspecification in Machine Learning for Physics

Cruz-Martinez, Juan et al.

arXiv →
Aug 2026

Unifying Generative Models with Path Integrals

Winterhalder, Ramon

arXiv →
Aug 2026

The Living Guide of Machine Learning for Particle Physics

Krause, Claudius et al.

arXiv →
Aug 2026

Machine Learning is Good for Physics - and Vice Versa

Krämer, Michael, Plehn, Tilman

arXiv →
Aug 2026

Generative Amplification with Surrogate Monte Carlo

Bahl, Henning, Plehn, Tilman, Revelli, Rebecca

arXiv →
Aug 2026

Search for resonant production of lepton-enriched semivisible jets in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Gevorgyan, Arzunik et al.

arXiv →
Aug 2026

Learned proposals in trans-dimensional inference are optimal at equilibrium, not during assembly

Sasli, Argyro et al.

arXiv →
Aug 2026

Virtues and Vices of Equivariant Transformers

Favaro, Luigi et al.

arXiv →
Jul 2026

Co-design of ground-based gravitational wave detector networks

Lanchares, Daniel et al.

arXiv →
Jul 2026

Symbolic Extraction of Non-Perturbative Transverse-Momentum-Dependent Distributions from Drell-Yan Data

Granger, Cole et al.

arXiv →
Jul 2026

Neural Control Variates at LO and NLO

Heimel, Theo et al.

arXiv →
Jul 2026

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning

Dax, Maximilian, Heimel, Theo, Louppe, Gilles

arXiv →
Jul 2026

Search for new scalars via $X \rightarrow SH \rightarrow b\bar{b}b\bar{b}$ in proton-proton collisions at $\sqrt{s} = 13$ TeV with the ATLAS detector

Aad, Georges et al.

arXiv →
Jul 2026

Search for dark matter in a signature with a four-prong large-radius jet in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Gevorgyan, Arzunik et al.

arXiv →
Jul 2026

Are We Ready for AI-Driven Discovery? AI Verification Before the Next Fundamental Physics Breakthrough

Grosso, Gaia, Mikuni, Vinicius, Heinrich, Lukas

arXiv →
Jul 2026

Report on the Advanced Linear Collider Study Group (ALEGRO) Workshop 2026

Verra, L. et al.

arXiv →
Jul 2026

Diffusion Models for Sampling Near Criticality in Lattice Field Theories

Tan, Yang-yang et al.

arXiv →
Jul 2026

Weight-Space Physics: Interpretable Hypernetworks for Lattice Quantum Field Theories

Göbel, Tobias et al.

arXiv →
Jul 2026

Weakly supervised machine learning for model-agnostic searches of new phenomena in the $γ$-ray sky

Krämer, Michael, Manconi, Silvia, Nippel, Kathrin

arXiv →
Jul 2026

Simultaneous efficiency measurements of $b$- and $c$-jets in $t\bar{t}$ events from $\sqrt{s}=13.6$ TeV $pp$ collision data collected with the ATLAS detector

Aad, Georges et al.

arXiv →
Jul 2026

Measurement of the $b$-jet identification efficiency in dileptonic $t\bar{t}$ events using proton-proton collision data at $\sqrt{s}=13.6$ TeV collected with the ATLAS detector

Aad, Georges et al.

arXiv →
Jul 2026

Machine Learning and the SKA for Cosmic Dawn and the Epoch of Reionization

Acharya, Anshuman et al.

arXiv →
Jul 2026

Local Conformal Predictions for Calibrated Surrogates

Dubey, Suprio et al.

arXiv →
Jun 2026

Rapid Hubble constant inference from GW170817 using GPU-accelerated nested sampling: prior sensitivity and the limits of post-hoc reweighting

Yang, Ming Han et al.

arXiv →
Jun 2026

Detector-aware target definitions for full-event particle reconstruction

Schäuble, Katharina et al.

arXiv →
Jun 2026

Spectral phase transitions and trainability in neural network learning dynamics

Park, Chanju et al.

arXiv →
Jun 2026

Inferring Cosmology and Astrophysics from the High-redshift 21cm Signal with SKA-Low

Acharya, Anshuman et al.

arXiv →
Jun 2026

pop-cosmos: Galaxy size evolution across structural and star-formation classifications in COSMOS-Web

Tudorache, Madalina N. et al.

arXiv →
Jun 2026

Simulation-Based Inference for Cluster Cosmology with Set-Based Neural Network Architectures

Zelmer, S. et al.

arXiv →
Jun 2026

Parnassus: A GPU-enabled, Python-based Package for Fast Particle Detector Simulation and Reconstruction

Elabd, Abdelrahman et al.

arXiv →
Jun 2026

Interpreting "Interpretability" and Explaining "Explainability" in Machine Learning in Physics

Gambhir, Rikab, Lucie-Smith, Luisa, Thaler, Jesse

arXiv →
Jun 2026

Reweighting underlying event and colour reconnection parameter variations in Sherpa

Pabst, Moritz et al.

arXiv →
Jun 2026

One Generator, Any Process: LLM-Conditioning for the LHC

Bahl, Henning et al.

arXiv →
Jun 2026

Measurement of isolated photon plus two-jet correlations in Pb+Pb and $pp$ collisions at 5.02 TeV with ATLAS

Aad, Georges et al.

arXiv →
Jun 2026

Impact of non-Gaussian likelihood on cosmological constraints from the thermal Sunyaev-Zel’dovich power spectrum: A simulation-based inference analysis

Xu, Licong et al.

arXiv →
Jun 2026

Machine-learned particle flow as a foundation model for collider physics

Mokhtar, Farouk et al.

arXiv →
Jun 2026

Pre-Training for Simulation-Based Science: A Study on Jet Foundation Model Training Objectives

Elsharkawy, Ibrahim et al.

arXiv →
Jun 2026

JetParticle-JEPA: An Efficient Self-Supervised Representation Learning method for Jet Tagging in High-Energy Physics

Letellier, Guillaume, Vacheret, Antonin, Jurie, Frédéric

arXiv →
Jun 2026

Stochastic Path Sampler For Lattice Field Theory

Chen, Shiyang et al.

arXiv →
Jun 2026

SPADE: Split-and-Delay Embeddings for Autoregressive High-Granularity Calorimeter Simulation

Birk, Joschka et al.

arXiv →
Jun 2026

Interpretable Neural Marked Statistics for Cosmological Inference

Semenzato, Federico et al.

arXiv →
Jun 2026

Dark Energy Survey Year 3 results: optimized $w$CDM simulation-based inference with weak lensing map-level hybrid statistics

Williamson, J. et al.

arXiv →
Jun 2026

Towards the implementation of a quantum classifier

Confalonieri, Lorenzo, Salinas, Adrián Pérez, Carrazza, Stefano

arXiv →
Jun 2026

An investigation of fast simulation techniques for pion showers using kernel density estimators with the CALICE AHCAL Technological Prototype

Wilhahn, A. et al.

arXiv →
May 2026

21cmEMUv3: a hybrid diffusion-LSTM emulator of 21cmFAST summary observables

Breitman, Daniela et al.

arXiv →
May 2026

Generative Models and Statistical Validation

Diefenbacher, Sascha, Palacios Schweitzer, Sofia, Kasieczka, Gregor

arXiv →
May 2026

Search for pair-produced vector-like $T$-quarks decaying into $Ht$ final states in the lepton-plus-jets channel in $pp$ collisions at $\sqrt{s}$=13 TeV with the ATLAS detector

Aad, Georges et al.

arXiv →
May 2026

Neural Scaling Laws for Jet Generation

Amram, Oz et al.

arXiv →
May 2026

Field-level multi-tracers simulation-based inference of cosmological parameters from 3D maps

Scelfo, Giulio et al.

arXiv →
May 2026

Detecting Gravitational-Wave Anisotropies with Simulation-Based Inference

Lemke, Anna-Malin et al.

arXiv →
May 2026

Inferring Neutron-Star Properties from Post-merger Gravitational-wave Spectra with Neural Networks

Pesios, Dimitrios, Stergioulas, Nikolaos

arXiv →
May 2026

Quantum enhanced identification of boosted jets with quantum graph neural networks

Kangaziankangazi, Parichehr et al.

arXiv →
May 2026

The Monte Carlo Ecosystem in High-Energy Physics: A Primer

van Beekveld, Melissa et al.

arXiv →
May 2026

Search for pair production of additional neutral scalars within the Inert Doublet Model in a final state with two electrons or two muons in proton-proton collisions at $\sqrt{s}$ = 13 TeV and 13.6 TeV

Gevorgyan, Arzunik et al.

arXiv →
May 2026

Rapid and robust simulation-based inference for kilonovae

Brown, Stephanie M. et al.

arXiv →
May 2026

End-to-End Population Inference from Gravitational-Wave Strain using Transformers

Leyde, Konstantin et al.

arXiv →
May 2026

Uncertainty in Physics and AI: Taxonomy, Quantification, and Validation

Haußmann, Manuel, Winterhalder, Ramon, Ubiali, Maria

arXiv →
May 2026

It Just Takes Two: Scaling Amortized Inference to Large Sets

Wehenkel, Antoine et al.

arXiv →
May 2026

BRICKS: Compositional Neural Markov Kernels for Zero-Shot Radiation-Matter Simulation

Hildebrandt, Richard et al.

arXiv →
May 2026

Exploring the Boundaries of Differentiable Radiation Transport and Detector Simulation

Krupa, Jeffrey et al.

arXiv →
May 2026

Physics inspired quantum algorithm for QCD splitting functions

Rouxinol, Gabriel et al.

arXiv →
May 2026

First next-to-next-to-leading-order extraction of fragmentation functions for Lambda hyperons

Bertone, Valerio et al.

arXiv →
May 2026

Differential measurements of $γγ\toττ$ and constraints on $τ$-lepton electromagnetic moments in Pb+Pb collisions at $\sqrt{s_{_\text{NN}}} = 5.02$ TeV with ATLAS

Aad, Georges et al.

arXiv →
May 2026

Reconstructing conformal field theoretical composition with transformers

Cao, Haotian et al.

arXiv →
Apr 2026

Normalizing flows for density estimation in multidetector gravitational-wave searches

Insley, Sam et al.

arXiv →
Apr 2026

Search for Electroweakinos in Compressed-Spectrum Scenarios with Low-Momentum Isolated Tracks in Proton-Proton Collisions at <math display="inline"><mrow><msqrt><mrow><mi>s</mi></mrow></msqrt><mo>=</mo><mn>13</mn><mtext> </mtext><mtext> </mtext><mi>TeV</mi></mrow></math>

Hayrapetyan, Aram et al.

arXiv →
Apr 2026

Lattice field theories with a sign problem

Aarts, Gert, Sexty, Dénes

arXiv →
Apr 2026

Machine Learning for Multi-Messenger Probes of New Physics and Cosmology: Review and Perspective

Addazi, Andrea et al.

arXiv →
Apr 2026

Passage of particles through matter and the effective straggling-function: High-fidelity accelerated simulation via Physics-Informed Machine Learning

Borysov, Oleksandr et al.

arXiv →
Apr 2026

Masked-Token Prediction for Anomaly Detection at the Large Hadron Collider

Visive, Ambre et al.

arXiv →
Apr 2026

Kitchen Sink Anomaly Detection

Das, Ranit et al.

arXiv →
Apr 2026

FAIR Universe Weak Lensing ML Uncertainty Challenge: Handling Uncertainties and Distribution Shifts for Precision Cosmology

Dai, Biwei et al.

arXiv →
Apr 2026

An AI-based Detector Simulation and Reconstruction Model for the ALEPH Experiment at LEP

Lo, Ya-Feng et al.

arXiv →
Apr 2026

Particle transformers for identifying Lorentz-boosted Higgs bosons decaying to a pair of W bosons

Hayrapetyan, Aram et al.

arXiv →
Mar 2026

Eccentricity Constraints Disfavor Single-Single Capture in Nuclear Star Clusters as the Origin of all LIGO-Virgo-KAGRA Binary Black Holes

Gupte, Nihar et al.

arXiv →
Mar 2026

PQuantML: a tool for end-to-end hardware-aware model compression

Niemi, Roope et al.

arXiv →
Mar 2026

Search for Higgs boson production at high transverse momentum in the WW decay channel in proton-proton collisions at $ \sqrt{s}=13 $ TeV

Hayrapetyan, Aram et al.

arXiv →
Mar 2026

Measurement and interpretation of inclusive $Wγ$ production in proton-proton collisions at $\sqrt{s}=13$ TeV using the ATLAS detector

Aad, Georges et al.

arXiv →
Mar 2026

Neutrino Oscillation Parameter Estimation Using Structured Hierarchical Transformers

Morales, Giorgio et al.

arXiv →
Mar 2026

Accurate and efficient simulation-based inference for massive black-hole binaries with LISA

Spadaro, Alice et al.

arXiv →
Mar 2026

Evidence of Higgs Boson Inclusive Production at High Transverse Momentum Decaying to a Pair of <math display="inline"><mi>b</mi></math>-Quarks with the ATLAS Detector

Aad, Georges et al.

arXiv →
Mar 2026

QiboAgent: a practitioner's guideline to open source assistants for Quantum Computing code development

Esposito, Lorenzo, Papaluca, Andrea, Carrazza, Stefano

arXiv →
Mar 2026

Search for Z' bosons decaying into charginos in final states with two oppositely charged leptons and missing transverse momentum in pp collisions at $\sqrt{s}$ = 13 TeV

Hayrapetyan, Aram et al.

arXiv →
Mar 2026

Search for long-lived charginos and τ-sleptons using final states with a disappearing track in pp collisions at $ \sqrt{s}=13 $ TeV with the ATLAS detector

Aad, Georges et al.

arXiv →
Mar 2026

Encoding physics at the precision frontier

Breso-Pla, Victor et al.

arXiv →
Mar 2026

Learning the Standard Model Manifold: Bayesian Latent Diffusion for Collider Anomaly Detection

Patel, Jigar, Dorigo, Tommaso

arXiv →
Mar 2026

Parameter compression in the flux landscape

Chauhan, Aman et al.

arXiv →
Mar 2026

The Latent Information Geometry of Jet Classification

Kuntz, Rebecca Maria et al.

arXiv →
Feb 2026

Unfolding without Iterations, Adversaries, or Surrogates

Ore, Ayodele, Plehn, Tilman

arXiv →
Feb 2026

Machine Learning on Heterogeneous, Edge, and Quantum Hardware for Particle Physics (ML-HEQUPP)

Gonski, Julia et al.

arXiv →
Feb 2026

Cosmology with galaxy clusters using machine learning. Application to eROSITA Data

Zhong, Fucheng et al.

arXiv →
Feb 2026

Neural Bayesian updates to populations with growing gravitational-wave catalogs

Wolfe, Noah E. et al.

arXiv →
Feb 2026

Building an AI-native Research Ecosystem for Experimental Particle Physics: A Community Vision

Aarrestad, Thea Klaeboe et al.

arXiv →
Feb 2026

Enabling low-latency machine learning on radiation-hard FPGAs with hls4ml

Govorkova, Katya et al.

arXiv →
Feb 2026

Neural Scaling Laws for Boosted Jet Tagging

Vigl, Matthias et al.

arXiv →
Feb 2026

GW-FALCON: A Novel Feature-Driven Deep Learning Approach for Early Warning Alerts of BNS and NSBH Inspirals in Next-Generation GW Observatories

Papigkiotis, Grigorios, Vardakas, Georgios, Stergioulas, Nikolaos

arXiv →
Feb 2026

MadSpace -- Event Generation for the Era of GPUs and ML

Heimel, Theo, Mattelaer, Olivier, Winterhalder, Ramon

arXiv →
Feb 2026

pop-cosmos: Redshifts and physical properties of KiDS-1000 galaxies

Halder, Anik et al.

arXiv →
Feb 2026

pop-cosmos: Forward modeling KiDS-1000 redshift distributions using realistic galaxy populations

Leistedt, Boris et al.

arXiv →
Feb 2026

Artificial intelligence and symmetries: Learning, encoding, and discovering structure in physical data

Sanz, Veronica

arXiv →
Jan 2026

Search for heavy scalar resonances decaying to Lorentz-boosted Higgs and Higgs-like bosons in the $ \mathrm{b}\overline{\mathrm{b}}4\mathrm{q} $ final state at $ \sqrt{s}=13 $ TeV

Hayrapetyan, Aram et al.

arXiv →
Jan 2026

Generalizable Equivariant Diffusion Models for Non-Abelian Lattice Gauge Theory

Aarts, Gert et al.

arXiv →
Jan 2026

Constraining reionization morphology and source properties with 21 cm galaxy cross-correlation surveys

Pietschke, Yannic, Hutter, Anne, Heneka, Caroline

arXiv →
Jan 2026

Search for the pair production of long-lived supersymmetric partners of the tau lepton in proton-proton collisions at $ \sqrt{s}=13 $ TeV

Hayrapetyan, Aram et al.

arXiv →
Jan 2026

Machine learning techniques for jet reconstruction at LHCb and application to the search for $ H\to b\overline{b} $ and $ H\to c\overline{c} $ in $ \sqrt{s}=13 $ TeV pp collisions

Aaij, Roel et al.

arXiv →
Jan 2026

Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration

Aubourg, Eric et al.

arXiv →
Jan 2026

Cosmo-FOLD: Fast generation and upscaling of field-level cosmological maps with overlap latent diffusion

Mishra, Satvik, Trotta, Roberto, Viel, Matteo

arXiv →
Jan 2026

Scaling laws for amplitude surrogates

Bahl, Henning et al.

arXiv →
Jan 2026

AllShowers: One model for all calorimeter showers

Buss, Thorsten et al.

arXiv →
Jan 2026

Analytic Bijections for Smooth and Interpretable Normalizing Flows

Gerdes, Mathis, Cheng, Miranda C.N.

arXiv →
Jan 2026

Towards tensor network models for low-latency jet tagging on FPGAs

Coppi, Alberto et al.

arXiv →
Jan 2026

Quantum Computing -- Strategic Recommendations for the Industry

Erdmann, Marvin et al.

arXiv →
Jan 2026

An Optimal Observable Machine for reinterpretable measurements in high-energy physics

Mohr, Torben et al.

arXiv →
Jan 2026

Large language models for physics instrument design

Zoccheddu, Sara et al.

arXiv →
Jan 2026

SMARTHEP: training PhD students in real-time analysis at the LHC and in industry

Albrecht, Johannes et al.

arXiv →
Jan 2026

Differentiable surrogate for detector simulation and design with diffusion models

Nguyen, Xuan Tung et al.

arXiv →
Jan 2026

Search for a boosted Higgs boson decaying to bottom quark pairs in association with a W or Z boson in proton-proton collisions at <math altimg="si15.svg"><mrow><msqrt><mi>s</mi></msqrt><mo linebreak="goodbreak">=</mo><mn>13</mn><mspace width="0.16em"/><mtext>TeV</mtext></mrow></math>

Hayrapetyan, Aram et al.

arXiv →
Dec 2025

Machine-learning techniques for model-independent searches in dijet final states

Hayrapetyan, Aram et al.

arXiv →
Dec 2025

Economical Jet Taggers -- Equivariant, Slim, and Quantized

Petitjean, Antoine et al.

arXiv →
Dec 2025

ColliderML: The First Release of an OpenDataDetector High-Luminosity Physics Benchmark Dataset

Elitez, Doğa et al.

arXiv →
Dec 2025

Global fits and the search for new physics: past, present and future

Athron, Peter et al.

arXiv →
Dec 2025

Amplitude Surrogates for Multi-Jet Processes

Beccatini, Luca et al.

arXiv →
Dec 2025

PolySwyft: sequential simulation-based nested sampling

Scheutwinkel, Kilian H. et al.

arXiv →
Dec 2025

aim-resolve: Automatic identification and modeling for Bayesian radio interferometric imaging

Fuchs, Richard et al.

arXiv →
Dec 2025

Performance and efficiency of a transformer-based quark/gluon jet tagger in the ATLAS experiment

Aad, Georges et al.

arXiv →
Dec 2025

Enhancing next token prediction based pre-training for jet foundation models

Birk, Joschka et al.

arXiv →
Dec 2025

Flexible Gravitational-Wave Parameter Estimation with Transformers

Kofler, Annalena et al.

arXiv →
Dec 2025

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

Schulte, Jan-Frederik et al.

arXiv →
Dec 2025

Learning reduced representations for quantum classifiers

Odagiu, Patrick et al.

arXiv →
Nov 2025

Cross-geometry transfer learning in fast electromagnetic shower simulation

Gaede, Frank, Kasieczka, Gregor, Valente, Lorenzo

arXiv →
Nov 2025

Search for higgsinos in compressed mass spectra using low-momentum tracks in pp collisions at $ \sqrt{s}=13 $ TeV with the ATLAS detector

Aad, Georges et al.

arXiv →
Nov 2025

A First Full Physics Benchmark for Highly Granular Calorimeter Surrogates

Buss, Thorsten et al.

arXiv →
Nov 2025

Deep learning framework for enhanced neutrino reconstruction of single-line events in the ANTARES telescope

Albert, A. et al.

arXiv →
Nov 2025

SURFing to the Fundamental Limit of Jet Tagging

Pang, Ian et al.

arXiv →
Nov 2025

Search for heavy H$γ$ and Z$γ$ resonances with a bottom quark-antiquark pair in the final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Hayrapetyan, Aram et al.

arXiv →
Nov 2025

How to pick the best anomaly detector?

Hein, Marie et al.

arXiv →
Nov 2025

Knowledge is Overrated: A zero-knowledge machine learning and cryptographic hashing-based framework for verifiable, low latency inference at the LHC

Jawahar, Pratik, Doglioni, Caterina, Pierini, Maurizio

arXiv →
Nov 2025

Accelerated inference of microlensed gravitational waves with machine learning

Caldarola, Marienza et al.

arXiv →
Nov 2025

Galactification: painting galaxies onto dark matter only simulations using a transformer-based model

Pandey, Shivam et al.

arXiv →
Nov 2025

Identification of tau leptons using a convolutional neural network with domain adaptation

Hayrapetyan, Aram et al.

arXiv →
Nov 2025

Quantum Boltzmann Machines for Sample-Efficient Reinforcement Learning

Gerlach, Thore, Schenk, Michael, Kain, Verena

arXiv →
Nov 2025

Accelerated Sequential Posterior Inference via Reuse for Gravitational-Wave Analyses

Williams, Michael J.

arXiv →
Nov 2025

CaloClouds3: Ultra-fast geometry-independent highly-granular calorimeter simulation

Buss, Thorsten et al.

arXiv →
Oct 2025

Extraction of the Collins-Soper Kernel from a Joint Analysis of Experimental and Lattice Data

Avkhadiev, Artur et al.

arXiv →
Oct 2025

Generative Unfolding of Jets and Their Substructure

Petitjean, Antoine et al.

arXiv →
Oct 2025

Dark Matter profiles of in silico galaxies: deep learning inference

de los Rios, Martín et al.

arXiv →
Oct 2025

Dynamic SBI: round-free sequential simulation-based inference with adaptive datasets

Lyu, Huifang et al.

arXiv →
Oct 2025

Hierarchical summaries for primordial non-Gaussianities

Cagliari, M.S., Bairagi, A., Wandelt, B.

arXiv →
Oct 2025

Qiboml: towards the orchestration of quantum-classical machine learning

Robbiati, Matteo et al.

arXiv →
Oct 2025

Performance of heavy-flavour jet identification in Lorentz-boosted topologies in proton-proton collisions at √(s) = 13 TeV

Hayrapetyan, Aram et al.

arXiv →
Oct 2025

Topology-agnostic, hierarchical graph network for event reconstruction

Soybelman, Nathalie et al.

arXiv →

Roadmap on fast machine learning for science

Summers, Sioni et al.

Sampling from a complex distribution using an energy-based diffusion model

Habibi, Diaa Eddin et al.

Uncertainty Quantification for a Cramér Generative Adversarial Network-Based Simulation of the Ring-Imaging Cherenkov Particle Detector Using Feature Densities

Villalobos-Gómez, Esteban et al.

Timing resolution of thin LGAD sensors in high radiation environments

White, Robert Stephen et al.

Efficient Transformers for Charged Particle Tracking at the HL-LHC

Wolffs, Zef, Pshenov, Viacheslav, Caron, Sascha

Tokenization Strategies for Masked-Token Prediction for Anomaly Detection at the Large Hadron Collider

Visive, Ambre et al.

Bijx: Bijections and normalizing flows with JAX/NNX

Gerdes, Mathis, Cheng, Miranda C. n.

Characterizing gamma-ray maps of the Galactic Center with neural density estimation

Mishra-Sharma, Siddharth, Cranmer, Kyle S.

Graph transformer and mixture of experts for rare signal detection in calorimeter data

Genovese, Donatella et al.

A method for inferring signal strength modifiers by conditional invertible neural networks

Farkas, Maté Zoltán et al.

Binning high-dimensional classifier output for HEP analyses through a clustering algorithm

Diekmann, Svenja, Eich, Niclas, Erdmann, Martin

Designing physics experiments with artificial intelligence

Klimesch, Jonathan et al.

Data-driven hysteresis compensation in the CERN SPS main magnets

Lu, Anton et al.

Trajectory steering for DC beams at the CERN SPS using reinforcement learning based on intensity measurements

Menor De Onate, Adrian et al.

Operational results of data-driven automated intensity optimization at CERN’s LEIR

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