Name: ML4Jets2020
Start: 2020-01-15T08:30:00-05:00
End: 2020-01-17T19:00:00-05:00
Location: Kimmel Center for University Life

ML4Jets2020

from Wednesday, January 15, 2020 (8:30 AM) to Friday, January 17, 2020 (7:00 PM)

Monday, January 13, 2020
Tuesday, January 14, 2020
Wednesday, January 15, 2020

8:30 AM

8:30 AM - 9:00 AM
Room: KC 802
9:00 AM
9:00 AM - 10:40 AM
Room: KC 802
Contributions

9:00 AM Welcome and Logistics - Kyle Stuart Cranmer (New York University (US)) Sebastian Macaluso (New York University)

9:10 AM Theory Introduction (20'+10') - Maxim Perelstein

9:40 AM Experiment Introduction (20'+10') - Alison Lister (University of British Columbia (CA))

10:10 AM ML Introduction (20'+10') - Gilles Louppe (New York University (US))
10:40 AM Coffee break
Coffee break
10:40 AM - 11:10 AM
Room: KC 802
11:10 AM
11:10 AM - 12:50 PM
Room: KC 802
Contributions

11:10 AM CapsNets Continuing the Convolutional Quest - Sascha Daniel Diefenbacher (Hamburg University (DE))

11:30 AM Quark-gluon discrimination with point clouds - Vinicius Massami Mikuni (Universitaet Zuerich (CH))

11:50 AM Modeling a top jet classifier with two-point energy correlation and geometry of soft emission - Sung Hak Lim (KEK)

12:10 PM Deep Learning Jet Substructure from Two-Particle Correlation - Yang-Ting Chien (Stony Brook University)

12:30 PM CLARIANT: Covariant Lorentz Group Architecture for Artificial Neural Networks - Alexander Bogatskiy
12:50 PM Lunch
Lunch
12:50 PM - 2:10 PM
2:10 PM
2:10 PM - 5:45 PM
Room: KC 802
Contributions

2:10 PM Introduction - Jana Schaarschmidt (University of Washington (US)) Martin Erdmann (Rheinisch Westfaelische Tech. Hoch. (DE))

2:15 PM DijetGAN: A Generative-Adversarial Network approach for the simulation of QCD Dijet events at the LHC - Serena Palazzo (The University of Edinburgh (GB))

2:35 PM A generator cell for LHC event GANs - Niclas Eich (RWTH Aachen University (DE))

2:55 PM How to GAN LHC Events - Ramon Winterhalder (Universität Heidelberg)

3:15 PM GAN based event subtraction for Monte Carlo methods - Anja Butter

3:35 PM Teaching a Computer to Integrate - Claudius Krause (Fermilab) Christina Gao

4:25 PM Lund jet images from generative and cycle-consistent adversarial networks - Frederic Alexandre Dreyer (Oxford) Stefano Carrazza (CERN)

4:45 PM Fast Calorimeter Simulation in ATLAS: FastCaloSimV2 - Sean Joseph Gasiorowski (University of Washington (US))

5:05 PM Fast Calorimeter Simulation in ATLAS with DNNs - Dalila Salamani (Universite de Geneve (CH))

5:25 PM Generative Models in CALICE - Engin Eren
7:00 PM

7:00 PM - 9:00 PM
Room: Bier Haus
Thursday, January 16, 2020
9:00 AM
9:00 AM - 11:00 AM
Room: KC 802
Contributions

9:00 AM Data ex Machina: Machine Learning with Jets in CMS Open Data - Eric Metodiev (Massachusetts Institute of Technology)

9:20 AM Representation Learning for Collider Events - Jack Collins (SLAC)

9:40 AM Tagger-mass decorrelation: experience within CMS - Huilin Qu (Univ. of California Santa Barbara (US))

10:00 AM Disco Fever - Gregor Kasieczka (Hamburg University (DE))

10:20 AM A Normalizing Flow Model for Boosted Jets - Matthew Drnevich (NYU)

10:39 AM Metrics and Machine Learning Algorithms for Collider Space - Tianji Cai (University of California, Santa Barbara)
11:00 AM Coffee break
Coffee break
11:00 AM - 11:30 AM
Room: KC 802
11:30 AM
11:30 AM - 1:00 PM
Room: KC 802
Contributions

11:30 AM Optimal Transport - Jonathan Niles-Weed (NYU)

12:00 PM Beyond monotonic, autoregressive sequence modeling - Kyunghyun Cho

12:30 PM Guided discussion
1:00 PM Lunch
Lunch
1:00 PM - 2:20 PM
2:20 PM
2:20 PM - 6:10 PM
Room: KC 802
Contributions

2:30 PM LHCO Introduction and overview - David Shih (Rutgers University) Gregor Kasieczka (Hamburg University (DE))

2:50 PM Unsupervised new physics searches with data-driven inference - Dillon Barry (Jozef Stefan Institute)

3:10 PM Tag N’ Train : Combining Autoencoders and CWoLa for Better Unsupervised Searches - Oz Amram (Johns Hopkins University (US))

3:30 PM Variational Autoencoders for Anomalous Jet Tagging - Taoli Cheng (University of Montreal)

4:20 PM Comparing weak and unsupervised anomaly detection - Pablo Martín

4:40 PM LHC Olympics 2020: Columbia University - Alan Mathew Kahn (Columbia University (US))

5:00 PM LHC Olympics 2020: MIT - Nilai Sarda (MIT)

5:20 PM LHC Olympics 2020: Berkeley Cosmology - George Stein

5:40 PM LHCO2020: Outcome of the Challenge - Ben Nachman (Lawrence Berkeley National Lab. (US)) Gregor Kasieczka (Hamburg University (DE)) David Shih (Rutgers University)
Friday, January 17, 2020
9:00 AM
9:00 AM - 11:50 AM
Room: KC 914
Contributions

9:00 AM Deep-Learning Jets with Uncertainties and More - Michel Luchmann (Universität Heidelberg)

9:20 AM Bounding high-dimensional uncertainties with adversarial approaches - Chase Owen Shimmin (Yale University (US))

9:40 AM OmniFold: Simultaneously Unfolding All Observables - Patrick Komiske (Massachusetts Institute of Technology)

10:00 AM GANning away detector effects - Marco Bellagente (Universität Heidelberg)

10:50 AM Looking into Jets with Machine Learning - Sebastian Macaluso (New York University)

11:10 AM Realigning the goals of machine learning with the goals of physics - Prasanth Shyamsundar (University of Florida)

11:30 AM ROB: Reproducible Open Benchmarks for Data Analysis Platform - Sebastian Macaluso (New York University) Heiko Mueller
11:50 AM Lunch
Lunch
11:50 AM - 1:00 PM
1:00 PM
1:00 PM - 2:50 PM
Room: KC 914
Contributions

1:00 PM Deep Learning based Energy Reconstruction and Event Generation for the CALICE AHCAL - Erik Buhmann (Hamburg University (DE))

1:20 PM Convolutional neural networks with event images for pileup mitigation [cancelled due to illness] - Bernard Brickwedde (Johannes Gutenberg Universitaet Mainz (DE))

1:30 PM Secondary Vertex finding in Jets with Graph Neural Networks - Eilam Gross (Weizmann Institute of Science (IL))

1:50 PM Mixture Density Networks for tracking in dense environments on ATLAS - Elham E Khoda (University of British Columbia (CA))

2:10 PM Deep learning methods to improve Particle Flow reconstruction - Sanmay Ganguly (Weizmann Institute of Science (IL))

2:30 PM Machine Learning Based Jet $p_{T}$ Reconstruction in ALICE - Hannah Bossi (Yale University (US))
2:50 PM Coffee break
Coffee break
2:50 PM - 3:20 PM
Room: KC 914
3:20 PM
3:20 PM - 5:40 PM
Room: KC 914
Contributions

3:20 PM Jet substructure tagging and pileup mitigation - Alejandro Gomez Espinosa (ETH Zurich (CH))

3:40 PM Machine learning approaches to the identification of jets originating from heavy-flavor quarks. - Philipp Windischhofer (University of Oxford (GB))

4:00 PM Searching for long lived particles with a neural-network-based displaced jet tagger - Robert John Bainbridge (Imperial College (GB))

4:20 PM Jet or Event? - Physics at Future $e^-e^+$ Colliders - Sijun Xu (Department of Physics, The Hong Kong University of Science and Technology)

4:40 PM The Di-Higgs Photography with Deep Neural Networks - Jeong Han Kim (University of Notre Dame)

5:00 PM Cornering charming Higgs decays - Joseph Walker (University of Durham )

5:20 PM Using machine learning to constrain the Higgs total width - Dylan Sheldon Rankin (Massachusetts Inst. of Technology (US)) Cristina Ana Mantilla Suarez (Johns Hopkins University (US))
5:40 PM Closeout - Tilman Plehn
Closeout
- Tilman Plehn
5:40 PM - 5:50 PM
Room: KC 802

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