Name: ML4Jets2025
Start: 2025-08-17T03:00:00-07:00
End: 2025-08-23T05:00:00-07:00
Location: California Institute of Technology

ML4Jets2025

from Sunday, August 17, 2025 (3:00 AM) to Saturday, August 23, 2025 (5:00 AM)

Monday, August 11, 2025
Tuesday, August 12, 2025
Wednesday, August 13, 2025
Thursday, August 14, 2025
Friday, August 15, 2025
Saturday, August 16, 2025
Sunday, August 17, 2025

4:30 PM Welcome reception
Welcome reception
4:30 PM - 7:00 PM

Monday, August 18, 2025

8:45 AM Registration
Registration
8:45 AM - 9:30 AM
Room: CHEN100
9:30 AM Welcome - Maria Spiropulu (California Institute of Technology)
Welcome
- Maria Spiropulu (California Institute of Technology)
9:30 AM - 9:40 AM
Room: CHEN100
9:40 AM Invited Plenaries
9:40 AM - 11:00 AM
Contributions

9:40 AM AI for gravitational waves - Philip Coleman Harris (Massachusetts Inst. of Technology (US))

10:20 AM End-to-end particle reconstruction for current and future colliders - Eilam Gross (Weizmann Institute of Science (IL))
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM
Room: CHEN100
11:30 AM Invited Plenaries
11:30 AM - 12:50 PM
Contributions

11:30 AM Progress on AI-based jet tagging - Javier Mauricio Duarte (Univ. of California San Diego (US))

12:10 PM Uncertainty quantification in machine learning: A selective overview - Prasanth Shyamsundar (Fermi National Accelerator Laboratory)
12:50 PM Lunch break
Lunch break
12:50 PM - 2:00 PM
Room: CHEN100
2:00 PM Event Generation and Detector Simulation
2:00 PM - 3:20 PM
Contributions

2:00 PM DLScanner and LeStrat-Net: Machine learning for improved Monte Carlo exploration - Raymundo Ramos (Korea Institute for Advanced Study)

2:20 PM Stay Positive: Neural Refinement of Simulated Event Weights - Dennis Daniel Nick Noll (Lawrence Berkeley National Lab (US))

2:40 PM EveNet: Towards a Generalist Event Transformer for Unified Understanding and Generation of Collider Data - Yulei Zhang (University of Washington (US))

3:00 PM CMS FlashSim: an end-to-end ML approach speeds up simulation in CMS - Francesco Vaselli (Scuola Normale Superiore & INFN Pisa (IT))
Jet Physics
2:00 PM - 3:20 PM
Contributions

2:00 PM Machine Learning Approaches for Investigating Jet Quenching in Quark-Gluon Plasma via Jet Substructures Analysis - Leonardo Lima Da Silva (Universidade de Sao Paulo (USP) (BR)) Marcelo Gameiro Munhoz (Universidade de Sao Paulo (USP) (BR))

2:20 PM IAFormer: Interaction-Aware Transformer network for collider data analysis - Ahmed Hammad (KEK, Japan)

2:40 PM Representation Learning of Jets with Physics-Informed Self-Distillations - Zichun Hao (California Institute of Technology)

3:00 PM Particle transformers for boosted H→WW identification - Raghav Kansal (Caltech / Fermilab)
3:20 PM Coffee break
Coffee break
3:20 PM - 3:50 PM
Room: CHEN100
3:50 PM Summary of Day; Q&A
3:50 PM - 4:30 PM
Contributions

3:50 PM Monday Summary - Jean-Roch Vlimant (California Institute of Technology (US))
4:30 PM Keynote: Monday Keynote
Monday Keynote
4:30 PM - 5:30 PM
Contributions

4:30 PM Anima Anandkumar (Caltech)
Tuesday, August 19, 2025
9:00 AM Invited Plenaries
9:00 AM - 10:20 AM
Contributions

9:00 AM AI for particle accelerators [Remote] - Auralee Edelen

9:40 AM Foundation models for astrophysics & cosmology [Remote] - Gautham Narayan (University of Illinois at Urbana-Champaign / SkAI Institute)
10:20 AM Coffee break
Coffee break
10:20 AM - 10:50 AM
Room: CHEN100
10:50 AM Anomaly Detection
10:50 AM - 12:50 PM
Contributions

10:50 AM Anomaly detections in 3 lepton channel using AutoEncoders - Alfredo Castaneda (Universidad de Sonora (MX))

11:10 AM Event-level Observables based on Optimal Transport for Resonant Anomaly Detection - Aditya Bhargava

11:30 AM Anomaly Detection Results from CMS - Oz Amram (Fermi National Accelerator Lab. (US))

11:50 AM Weakly supervised anomaly detection with event-level variables - Liam Brennan (Univ. of California Santa Barbara (US))

12:10 PM Improving the model agnostic sensitivity of weakly supervised anomaly detection - Marie Hein (RWTH Aachen University)

12:30 PM Testing the Robustness of Via Machinae Stellar Stream Detections Using Resonant Anomaly Detection - Rafael Porto
Fast ML
10:50 AM - 12:50 PM
Contributions

10:50 AM Convolutional Neural Networks for pile-up suppression in the ATLAS Global Trigger - Noah Clarke Hall (University College London)

11:10 AM Towards a Self-Driving Trigger: Adaptive Response to Anomalies in Real Time - Abhijith Gandrakota (Fermi National Accelerator Lab. (US))

11:30 AM DECADE: Selecting the unexpected with decorrelated anomaly triggers - Noah Clarke Hall (University College London)

11:50 AM It's not a FAD: how to use Flows for Anomaly Detection on FPGAs - Francesco Vaselli (Scuola Normale Superiore & INFN Pisa (IT))

12:10 PM Comparative Analysis of FPGA and GPU Performance for Machine Learning-Based Track Reconstruction at LHCb - Fotis Giasemis (Centre National de la Recherche Scientifique (FR))

12:30 PM Jet calibration with in-situ pileup suppression for the L1 trigger - Ben Carlson (Westmont College)
12:50 PM Lunch break
Lunch break
12:50 PM - 2:00 PM
Room: CHEN100
2:00 PM Jet Physics
2:00 PM - 3:20 PM
Contributions

2:00 PM Get Your Jets in Shape: Conditioning Heads and Backbones - Ian Pang

2:20 PM A comparison of self-supervised pre-training methods for foundation models in jet physics - Joschka Birk (Hamburg University (DE))

2:40 PM Heavy-Flavour Frontier: Tagging at ATLAS with GN3 - Diptaparna Biswas (Universitaet Siegen (DE))

3:00 PM Blooming LHC analyses with all-inclusive pretrained boosted-jet models - Congqiao Li (Peking University (CN)) Dawei Fu (Peking University (CN))
Uncertainties & Interpretability
2:00 PM - 3:20 PM
Contributions

2:00 PM Physics-guided Machine Learning in Cosmology [remote] - Leonora KARDUM

2:20 PM Fair Universe HiggsML Uncertainty Challenge: Benchmark for Uncertainty-Aware Machine Learning in High Energy Physics - Po-Wen Chang

2:40 PM Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties - Claudius Krause (HEPHY Vienna (ÖAW))

3:00 PM Tackling interpretability with physical baselines for Integrated Gradients [remote] - Jai Bardhan
3:20 PM Coffee break
Coffee break
3:20 PM - 3:50 PM
Room: CHEN100
3:50 PM Summary of Day; Q&A
3:50 PM - 4:30 PM
Contributions

3:50 PM Tuesday Summary - Benedikt Maier (Imperial College (GB))
4:30 PM Keynote: Tuesday Keynote
Tuesday Keynote
4:30 PM - 5:30 PM
Contributions

4:30 PM Stefano Soatto (AWS AI)
Wednesday, August 20, 2025
9:00 AM Invited Plenaries
9:00 AM - 10:20 AM
Contributions

9:00 AM Likelihood free inference - Aishik Ghosh (University of California Irvine (US))

9:40 AM AI-driven detector design - Shah Rukh Qasim (University of Zurich (CH))
10:20 AM Coffee break
Coffee break
10:20 AM - 10:50 AM
Room: CHEN100
10:50 AM Anomaly Detection
10:50 AM - 12:50 PM
Contributions

10:50 AM Isolating Unisolated Upsilons with Anomaly Detection in CMS Open Data - Radha Mastandrea (LBNL)

11:30 AM Incorporating Physical Priors into Weakly-Supervised Anomaly Detection - Gurpreet Singh (University of California, Berkeley)

11:50 AM Anomaly Detection applied to the Quality Control of new detector components - Louis Vaslin (KEK High Energy Accelerator Research Organization (JP))

12:10 PM Debiasing Ultrafast Anomaly Detection with Posterior Agreement - Denis-Patrick Odagiu Denis-Patrick Odagiu (ETH Zurich (CH))

12:30 PM Anomaly Detection in High-Energy Particle Collisions at the LHC - Runze Li (Yale University (US))
Reconstruction and Analysis
10:50 AM - 12:50 PM
Contributions

10:50 AM Neural autoregressive flows for data-driven background estimation in a search for four-top quark production in the all-hadronic final state with CMS at 13 TeV - Melissa Quinnan (Univ. of California San Diego (US))

11:10 AM Fast and Precise Track Fitting with Machine Learning - Daniel Whiteson (University of California Irvine (US))

11:30 AM MaskFormers for Reconstruction Tasks in High Energy Physics - Max Hart (University College London (GB))

11:50 AM A Graph Neural Network Approach for General Reconstruction of Non-Helical Tracks [remote] - Levi Condren (University of California Irvine (US))

12:10 PM Machine Learning for Dark Matter searches at the LHC - Rafal Maselek

12:30 PM $\texttt{DeepSub}$: Deep Learning for Thermal Background Subtraction in Heavy-Ion Collisions [remote] - Umar Sohail Qureshi (Vanderbilt University)
12:50 PM Lunch break
Lunch break
12:50 PM - 2:00 PM
Room: CHEN100
2:00 PM Jet Physics
2:00 PM - 3:20 PM
Contributions

2:00 PM Transformer-based tagger for boosted Higgs - Edoardo Critelli (UCL (GB))

2:20 PM Fragmentation tagging - Yevgeny Kats (Ben-Gurion University)

2:40 PM The Pareto Frontier of Resilient Jet Tagging - Rikab Gambhir (MIT)

3:00 PM Fast Jet Tagging with MLP-Mixers on FPGAs - Chang Sun (California Institute of Technology (US))
Unfolding & Inference
2:00 PM - 3:20 PM
Contributions

2:00 PM Data-Driven High Dimensional Statistical Inference with Generative Models - Oz Amram (Fermi National Accelerator Lab. (US))

2:20 PM A High-Dimensional, Unbinned Standard Model Measurement with the ATLAS Experiment - Mariel Pettee (Lawrence Berkeley National Lab. (US))

2:40 PM Higgs Signal Strength Estimation with a Dual-Branch GNN under Systematic Uncertainties [remote] - Daohan Wang (HEPHY ÖAW)

3:00 PM wifi Ensembles for Simulation-Based Inference with Systematic Uncertainties - Sean Benevedes (Massachusetts Institute of Technology)
3:20 PM Coffee break
Coffee break
3:20 PM - 3:50 PM
Room: CHEN100
3:50 PM Keynote: Wednesday Keynote
Wednesday Keynote
3:50 PM - 4:50 PM
Contributions

3:50 PM Katie Bouman (Caltech)
4:50 PM Group photo
Group photo
4:50 PM - 5:00 PM
Room: CHEN100

6:00 PM ML4JETS BANQUET
ML4JETS BANQUET
6:00 PM - 10:00 PM
Room: West Patio
Thursday, August 21, 2025
9:30 AM Invited Plenaries
9:30 AM - 10:50 AM
Contributions

9:30 AM AI-based end-to-end simulation - Andrea Rizzi (Universita & INFN Pisa (IT))

10:10 AM AI at the extreme edge - Jannicke Pearkes (University of Colorado Boulder (US))
10:50 AM Coffee break
Coffee break
10:50 AM - 11:20 AM
Room: CHEN100
11:20 AM Jet Physics
11:20 AM - 1:00 PM
Contributions

11:20 AM Deep Learning Methods for Jet Tagging and Process Classification Using Image Processing - Jhoao Gabriel Martins Campos Almeida Arneiro (Universidade de Sao Paulo (USP) (BR))

11:40 AM HEP-JEPA: Towards a found model for high energy physics using joint embedding predictive architecture [Remote] - Jai Bardhan

12:00 PM Jet tagging with the Lund Jet Plane - Ethan Lewis Simpson (The University of Manchester (GB))

12:20 PM [Remote] Integrating Energy Flow Networks with Jet Substructure Observables for Enhanced Jet Quenching Studies - João A. Gonçalves (LIP - IST)

12:40 PM Comparing Continuous and Tokenized Jet Generation Approaches for Precision Modeling - Ian Pang
Theory
11:20 AM - 12:40 PM
Contributions

11:20 AM Autonomous Model Building with Reinforcement Learning: An Application with Lepton Flavor Symmetries - Jake Rudolph (UC Irvine)

11:40 AM Observable Optimization for Precision Theory: Machine Learning Energy Correlators - Katherine Fraser (Harvard University)

12:00 PM Giving machine learning a boost towards respecting (approximate) symmetries - Inbar Savoray (UC Berkeley)

12:20 PM An Energy Correlation Function tagger for gluon-gluon resonances - Connor Moore (University of Notre Dame (US))
1:00 PM Lunch break
Lunch break
1:00 PM - 2:10 PM
Room: CHEN100
2:10 PM Fast ML
2:10 PM - 3:30 PM
Contributions

2:10 PM Spatially Aware Linear Transformer (SAL-T) for Efficient Particle Jet Identification - Aaron Wang (University of Illinois Chicago (US))

2:30 PM Real-Time event reconstruction for Nuclear Physics Experiments using Artificial Intelligence - Gagik Gavalian (Jefferson National Lab)

2:50 PM GELATO: A Generic Event-Level Anomalous Trigger Option for ATLAS - Sagar Addepalli (SLAC National Accelerator Laboratory (US))

3:10 PM Real-Time Compression of CMS Detector Data Using Conditional Autoencoders - Zachary Baldwin (Carnegie Mellon University)
Unfolding & Inference
2:10 PM - 3:30 PM
Contributions

2:10 PM Forward folding versus unfolding in the age of ML - Kevin Thomas Greif (University of California Irvine (US))

2:30 PM Discriminative versus Generative Approaches to Simulation-based Inference - Sascha Diefenbacher (Lawrence Berkeley National Lab. (US))

2:50 PM On focusing statistical power for searches and measurements in particle physics - James Carzon (Carnegie Mellon University)

3:10 PM Generator Based Inference (GBI) - Alkaid Cheng (University of Wisconsin Madison (US))
3:30 PM Coffee break
Coffee break
3:30 PM - 4:00 PM
Room: CHEN100
4:00 PM Keynote: Thursday Keynote
Thursday Keynote
4:00 PM - 5:00 PM
Contributions

4:00 PM Jeff Nessen (Google AI)
5:00 PM Summary of Day; Q&A
5:00 PM - 5:30 PM
Contributions

5:00 PM Thursday Summary - David Shih
Friday, August 22, 2025
9:00 AM Reconstruction and Analysis
9:00 AM - 10:40 AM
Contributions

9:20 AM Boosting HH(4b) beyond boosted HH(4b): a calibratable full-particle search framework - Tianyi Yang (Peking University (CN))

9:40 AM Going HyPER: Enhancing collider measurements with hypergraph learning - Ethan Lewis Simpson (The University of Manchester (GB))

10:00 AM Machine Learning-Assisted Measurement of Lepton-Jet Azimuthal Angular Asymmetries and of the complete final state in Deep-Inelastic Scattering at HERA - Vinicius Massami Mikuni (Lawrence Berkeley National Lab. (US))

10:20 AM Optimal Transport for $e/\pi^0$ Particle Classification in LArTPC Neutrino Experiments - Jessica N. Howard (Kavli Institute for Theoretical Physics)
Theory
9:00 AM - 10:20 AM
Contributions

9:00 AM Explicit versus implicit physics priors for separating nearly identical classes - Tanvi Wamorkar (Lawrence Berkeley National Lab. (US))

9:20 AM Machine Learning Neutrino-Nucleus Cross Sections [remote] - Karla Tame-Narvaez (Fermilab National Accelerator Laboratory)

9:40 AM A novel loss function to optimise signal significance in particle physics [remote] - Jai Bardhan

10:00 AM Machine Learning Symmetries in Physics from First Principles - Konstantin Matchev (University of Alabama (US))
10:20 AM Quantum
10:20 AM - 11:00 AM
Contributions

10:20 AM 1 Particle - 1 Qubit: Particle Physics Data Encoding for Quantum Machine Learning - Benedikt Maier (Imperial College (GB))

10:40 AM Quantum-Enhanced Inference for Four-Top-Quark Signal Classification at the LHC Using Graph Neural Networks [remote] - Syed Haider Ali (Department of Physics & Applied Mathematics, Pakistan Institute of Engineering and Applied Sciences (PIEAS), P. O. Nilore 45650, Islamabad)
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM
Room: CHEN100
11:30 AM Invited Plenaries
11:30 AM - 12:10 PM
Contributions

11:30 AM AI for Mathematics - Ali Shehper
12:10 PM Summary & Highlights - Andrea Rizzi (Universita & INFN Pisa (IT))
Summary & Highlights
- Andrea Rizzi (Universita & INFN Pisa (IT))
12:10 PM - 12:30 PM
Room: CHEN100
12:30 PM Closing remarks - Jennifer Ngadiuba (FNAL)
Closing remarks
- Jennifer Ngadiuba (FNAL)
12:30 PM - 12:45 PM
Saturday, August 23, 2025