| 11/20 |
Tools 2020
online |
Generative networks for LHC events
|
| 10/20 |
4th Inter-experiment Machine Learning Workshop
online |
Invertible Networks or Partons to Detector and Back Again
|
| 09/20 |
TOP 2020
online |
Machine learning models to generate top events
|
| 09/20 |
QCD@LHC-X
online |
Machine Learning techniques for Monte Carlo generation
|
| 08/20 |
Snowmass Computational Frontier workshop
online |
Interface between Simulation and ML
|
| 05/20 |
LHCP
online/Paris, France |
Generative models in Event Simulation
|
| 04/20 |
CRC ML mini-workshop
online/Aachen/Heidelberg, Germany |
Generative Adversarial Networks
|
| 02/20 |
Machine Learning at the LHC
KMI, Japan |
Neural networks for event generation
|
| 01/20 |
ML4Jets
NYU, US |
GAN based event subtraction for Monte Carlo methods
|
| 10/19 |
IRN Terascale
ULB Brussels, Belgium |
How to GAN LHC events
|
| 11/17 |
Forschergruppen meeting
BCTP Bonn, Germany |
Deep-learned Top Tagging using Lorentz Invariance and Nothing Else
|
| 08/17 |
Multi-Boson Interactions 2017
KIT Karlsruhe, Germany |
The Gauge-Higgs Legacy of the LHC Run I
|
| 07/17 |
IRN Terascale
Montpellier University, France |
Saving the MSSM from the Galactic Center Excess
|
| 05/17 |
Phenomenology 2017
University of Pittsburgh, US |
Saving the MSSM from the Galactic Center Excess
|
| 11/16 |
NMSSM workshop
LAL Orsay, France |
Invisible Higgs decays and the GCE in the NMSSM
|
| 07/16 |
Understanding the First Results of the LHC Run II
MITP, Germany |
The Gauge-Higgs Legacy of the LHC Run I
|
| 05/16 |
Phenomenology 2016
University of Pittsburgh, US |
The Gauge-Higgs Legacy of the LHC, parallel talk.
|
| 11/15 |
GdR Terascale
LPSC Grenoble, France |
Invisible Higgs Decays to Hooperons in the NMSSM
|
| 08/15 |
SUSY 2015
Lake Tahoe, US |
Invisible Higgs decays and the GCE in the NMSSM
|
| 06/15 |
Heidelberg ATLAS retreat
Trifels, Germany |
Invisible Higgs decays and the GCE in the NMSSM
|
| 04/15 |
Mini Higgs Workshop
ITP Heidelberg, Germany |
Higgs Fits
|
| 06/14 |
GdR Terascale
LLR, France |
SFitter and the NMSSM
|
| 02/21 |
heidelberg.ai, Germany (online)
|
Boosting high energy physics with generative networks
|
| 02/21 |
Cambridge, UK (online)
|
Simulating and unfolding LHC events with generative networks
|
| 02/21 |
SLAC, Stanford, US (online)
|
Simulating and unfolding LHC events with generative networks
|
| 01/21 |
ATLAS Statistics Form & Machine Learning meeting (online)
|
Simulating and unfolding LHC events with generative networks
|
| 01/21 |
DESY-HU, Zeuthen/Berlin, Germany (online)
|
Simulating LHC events with generative networks
|
| 11/20 |
LPTHE, Paris, France (online)
|
Simulating LHC events with generative networks
|
| 10/20 |
LPSC, Grenoble, France (online)
|
Machine Learning in Particle Physics
|
| 02/20 |
IJCLab, Orsay, France
|
Generative Neural Networks for LHC applications
|
| 01/20 |
UC Irvine, US
|
Generative Neural Networks for LHC applications
|
| 12/19 |
UCL Louvain-la-Neuve, Belgium
|
How to GAN LHC events
|
| 03/19 |
CPPM, France
|
Deep-learned Top Tagging
|
ITP