Talks
2024
New tools for AI based discovery in particle physics
Invited talk by Gregor Kasieczka at the SAPHIR webinar, 10. May, Chile/virtual Link
Invited talk by Gregor Kasieczka at the SAPHIR webinar, 10. May, Chile/virtual Link
Latest Developments in Machine Learning
Invited talk by Gregor Kasieczka at the PRISMA+ Kolloquium, 8. May, Mainz, Germany Link
Invited talk by Gregor Kasieczka at the PRISMA+ Kolloquium, 8. May, Mainz, Germany Link
Experimental particle physics and AI
Invited talk by Gregor Kasieczka at the EuCAIFCon 2024, 30. April, Amsterdam, Netherlands Link
Invited talk by Gregor Kasieczka at the EuCAIFCon 2024, 30. April, Amsterdam, Netherlands Link
The road to AI-based discovery in particle physics
Invited talk by Gregor Kasieczka at the Physikalisches Kolloquium, 26. April, Heidelberg, Germany Link
Invited talk by Gregor Kasieczka at the Physikalisches Kolloquium, 26. April, Heidelberg, Germany Link
Beyond Language: Foundation Models for Collider Physics Data
Talk by Anna Hallin at the 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2024), 12. March, Charles B. Wang Center, Stony Brook University, US Link
Talk by Anna Hallin at the 22nd International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2024), 12. March, Charles B. Wang Center, Stony Brook University, US Link
Unleashing the power of generative models: Anomalies, Simulations, and other Surrogates
Invited talk by Gregor Kasieczka at the 6th Inter-experiment Machine Learning Workshop, 30. January, CERN, Geneva, Switzerland Link
Invited talk by Gregor Kasieczka at the 6th Inter-experiment Machine Learning Workshop, 30. January, CERN, Geneva, Switzerland Link
The surrogate revolution: Generative models for fast
detector simulation & more
Seminar talk by Gregor Kasieczka at the ICEPP seminar, 12. January, Tokyo, Japan Link
Seminar talk by Gregor Kasieczka at the ICEPP seminar, 12. January, Tokyo, Japan Link
Using AI for unsupervised discovery in particle physics
Invited talk by Gregor Kasieczka at the ML at HEP workshop, 9. January, KEK, Japan Link
Invited talk by Gregor Kasieczka at the ML at HEP workshop, 9. January, KEK, Japan Link
2023
Generative models and uncertainty
Invited talk by Gregor Kasieczka at the Artificial Intelligence and the Uncertainty Challenge in Fundamental Physics, AISSAI / IN2P3 Conference, 1. December, Paris, France Link
Invited talk by Gregor Kasieczka at the Artificial Intelligence and the Uncertainty Challenge in Fundamental Physics, AISSAI / IN2P3 Conference, 1. December, Paris, France Link
Efficient Sampling from Bayesian Network Posteriors for Optimal Uncertainties
Talk by S. Bieringer at the Artificial Intelligence and the Uncertainty Challenge in Fundamental Physics, AISSAI / IN2P3 Conference, 1. December, Paris, France Link
Talk by S. Bieringer at the Artificial Intelligence and the Uncertainty Challenge in Fundamental Physics, AISSAI / IN2P3 Conference, 1. December, Paris, France Link
Model-agnostic search for dijet resonances with anomalous jet substructure with the CMS detector
Talk by L. Moureaux at the ML4Jets2023 Conference, 10. November, DESY Hamburg, Germany Link
Talk by L. Moureaux at the ML4Jets2023 Conference, 10. November, DESY Hamburg, Germany Link
Generalization Properties of Jet Classification
Talk by S. Bieringer at the ML4Jets2023 Conference, 9. November, DESY Hamburg, Germany Link
Talk by S. Bieringer at the ML4Jets2023 Conference, 9. November, DESY Hamburg, Germany Link
Generating Accurate Showers in Highly Granular Calorimeters Using Convolutional Normalizing Flows
Talk by T. Buss at the ML4Jets2023 Conference, 6. November, DESY Hamburg, Germany Link
Talk by T. Buss at the ML4Jets2023 Conference, 6. November, DESY Hamburg, Germany Link
Physics inspired machine learning for the discovery of new physics
Talk by G. Kasieczka at the New High Energy Theory Center (NHETC) Seminar, 8. August, Rutgers University, New Jersey, USA Link
Talk by G. Kasieczka at the New High Energy Theory Center (NHETC) Seminar, 8. August, Rutgers University, New Jersey, USA Link
Painting pretty pictures of particles: Generative AI for detector simulation and new physics discovery
Talk by G. Kasieczka at the LPSC Séminaire, 15. June, LPSC Grenoble, France Link
Talk by G. Kasieczka at the LPSC Séminaire, 15. June, LPSC Grenoble, France Link
Generating Accurate Showers in Highly Granular Calorimeters Using Normalizing Flows
Talk by T. Buss at the CaloChallenge Workshop, 31. May, Villa Mondragone (Rome), Italy Link
Talk by T. Buss at the CaloChallenge Workshop, 31. May, Villa Mondragone (Rome), Italy Link
Better physics informed machine learning for better learning about physics
Talk by G. Kasieczka in the Physical Colloquium, 24. May, FAU Erlangen-Nürnberg, Germany Link
Talk by G. Kasieczka in the Physical Colloquium, 24. May, FAU Erlangen-Nürnberg, Germany Link
Generating Accurate Showers in Highly Granular Calorimeters Using Normalizing Flows
Talk by T. Buss at the 26th international conference on computing in high energy and nuclear physics (CHEP2023), 11. May, Norfolk (Virginia), USA Link
Talk by T. Buss at the 26th international conference on computing in high energy and nuclear physics (CHEP2023), 11. May, Norfolk (Virginia), USA Link
Search for long-lived particles decaying to trackless jets with advanced machine learning techniques at CMS
Talk by L. Benato at the Phenomenology 2023 Symposium, 09. May at the University of Pittsburgh, USA Link
Talk by L. Benato at the Phenomenology 2023 Symposium, 09. May at the University of Pittsburgh, USA Link
Mit AI die Geheimnisse der Natur entschlüsseln: Maschinelles Lernen in der Teilchenphysik
Talk by K. El Morabit at the Hanover Messe 2023, 19. April, Hanover, Germany Link
Talk by K. El Morabit at the Hanover Messe 2023, 19. April, Hanover, Germany Link
Mit KI auf der Suche nach neuer Physik
Talk by G. Kasieczka at the exhibition "Wie alles begann" in the Museum of Work, 27. March, Hamburg, Germany Link
Talk by G. Kasieczka at the exhibition "Wie alles begann" in the Museum of Work, 27. March, Hamburg, Germany Link
Is this even physics? -- Progress on AI in particle physics
Invited talk by G. Kasieczka at the German Physics Society (DPG) Spring Meeting of the Matter and Cosmos Section (SMuK), 23. March at the Technical University of Dresden, Germany Link
Invited talk by G. Kasieczka at the German Physics Society (DPG) Spring Meeting of the Matter and Cosmos Section (SMuK), 23. March at the Technical University of Dresden, Germany Link
Convolutional Neural Networks Lecture
Lecture by S. Diefenbacher at the ErUM-Data-Hub 'Deep Learning School: "Basic Concepts"', 1. March at the Landhaus Nordhelle, Meinerzhagen, Germany Link
Lecture by S. Diefenbacher at the ErUM-Data-Hub 'Deep Learning School: "Basic Concepts"', 1. March at the Landhaus Nordhelle, Meinerzhagen, Germany Link
No classification without representation -- Efficient data representations & other challenges for anomaly detection, generative models, and supervised classification
Talk by G. Kasieczka at the workshop "AI and Quantum Information Applications in Fundamental Physics", 13. February, Gwangju-Si, South Korea Link
Talk by G. Kasieczka at the workshop "AI and Quantum Information Applications in Fundamental Physics", 13. February, Gwangju-Si, South Korea Link
2022
With great power comes great responsibility: Uncertainty, robustness and feature selection for Deep Learning in Particle Physics
Talk by G. Kasieczka at the IPA Colloquium, 13. December, ETH Zurich, Zurich, Switzerland Link
Talk by G. Kasieczka at the IPA Colloquium, 13. December, ETH Zurich, Zurich, Switzerland Link
Anomaly detection in the search for new physics
Talk by G. Kasieczka at the virtual Physics ∩ ML seminar, 16. November, virtual Link
Talk by G. Kasieczka at the virtual Physics ∩ ML seminar, 16. November, virtual Link
Resonant anomaly detection without background sculpting
Talk by M. Sommerhalder at the ML4Jets2022 Workshop, 3. November, Rutgers University, New Jersey, USA Link
Talk by M. Sommerhalder at the ML4Jets2022 Workshop, 3. November, Rutgers University, New Jersey, USA Link
Estimating Uncertainties for Trained Neural Networks
Talk by S. Bieringer at the ML4Jets2022 Workshop, 3. November, Rutgers University, New Jersey, USA Link
Talk by S. Bieringer at the ML4Jets2022 Workshop, 3. November, Rutgers University, New Jersey, USA Link
Generative Models for Fast Simulation of Electromagnetic and Hadronic Showers in Highly Granular Calorimeters
Talk by S. Diefenbacher at the ML4Jets2022 Workshop, 2. November, Rutgers University, New Jersey, USA Link
Talk by S. Diefenbacher at the ML4Jets2022 Workshop, 2. November, Rutgers University, New Jersey, USA Link
Equivariant Point Cloud Generation for Particle Jets
Talk by E. Buhmann at the ML4Jets2022 Workshop, 1. November, Rutgers University, New Jersey, USA Link
Talk by E. Buhmann at the ML4Jets2022 Workshop, 1. November, Rutgers University, New Jersey, USA Link
New result from CMS: Trackless and delayed jets
Virtual talk by L. Benato at Searching for long-lived particles at the LHC and beyond: Twelfth workshop of the LLP Community, 31. October Link
Virtual talk by L. Benato at Searching for long-lived particles at the LHC and beyond: Twelfth workshop of the LLP Community, 31. October Link
Machine Learning in the Search for New Fundamental Physics
Talk by G. Kasieczka at the 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2022), 25. October, Villa Romanazzi Carducci, Bari, Italy Link
Talk by G. Kasieczka at the 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2022), 25. October, Villa Romanazzi Carducci, Bari, Italy Link
Generative Models for
Fast (Calorimeter) Simulation
Talk by S. Diefenbacher at the 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2022), 24. October, Villa Romanazzi Carducci, Bari, Italy Link
Talk by S. Diefenbacher at the 21st International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2022), 24. October, Villa Romanazzi Carducci, Bari, Italy Link
The Ultimate Hammer: Unsupervised Learning for Generating Data and Finding Anomalies
Talk by G. Kasieczka at the Hammers and Nails 2022 workshop, 3. August, Weizmann Institute, Rehovot, Israel Link
Talk by G. Kasieczka at the Hammers and Nails 2022 workshop, 3. August, Weizmann Institute, Rehovot, Israel Link
The New New-Physics Hunters Toolbox
Talk by G. Kasieczka at the Beyond Models workshop, 15. June at Wuppertal University, Germany Link
Talk by G. Kasieczka at the Beyond Models workshop, 15. June at Wuppertal University, Germany Link
LHC Olympics 2020
Talk by G. Kasieczka at the PHYSTAT Anomalies workshop, 25. May, virtual Link
Talk by G. Kasieczka at the PHYSTAT Anomalies workshop, 25. May, virtual Link
Single boson production
Talk by L. Moureaux at 10th Edition of the Large Hadron Collider Physics Conference, 16. May, Taipei, Taiwan Link
Talk by L. Moureaux at 10th Edition of the Large Hadron Collider Physics Conference, 16. May, Taipei, Taiwan Link
Calomplification: The Power of Generative Calorimeter Models
Talk by S. Bieringer at 5th Inter-experiment Machine Learning Workshop, 12. May, CERN, Geneva, Switzerland Link
Talk by S. Bieringer at 5th Inter-experiment Machine Learning Workshop, 12. May, CERN, Geneva, Switzerland Link
Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows
Talk by S. Diefenbacher at 5th Inter-experiment Machine Learning Workshop, 12. May, CERN, Geneva, Switzerland Link
Talk by S. Diefenbacher at 5th Inter-experiment Machine Learning Workshop, 12. May, CERN, Geneva, Switzerland Link
Statistics of generative calorimeter models
Talk by S. Bieringer at CDCS Opening Symposium 2022, 27. April, Hamburg, Germany Link
Talk by S. Bieringer at CDCS Opening Symposium 2022, 27. April, Hamburg, Germany Link
Generator Models for 4-momenta Events
Talk by S. Diefenbacher at Learning To Discover Workshop, 25. April, Institut Pascal, Paris, France Link
Talk by S. Diefenbacher at Learning To Discover Workshop, 25. April, Institut Pascal, Paris, France Link
Highlights from searches at CMS
Talk by L. Benato at 56th Renconctres des Moriond, QCD and High Energy Interactions, 23. March, La Thuile, Italy Link
Talk by L. Benato at 56th Renconctres des Moriond, QCD and High Energy Interactions, 23. March, La Thuile, Italy Link
Anomaly Detection using Machine Learning Techniques
virtual talk by G. Kasieczka at GRK2044 Seminar Series, 09. February, Albert-Ludwigs-University Freiburg, Germany Link
virtual talk by G. Kasieczka at GRK2044 Seminar Series, 09. February, Albert-Ludwigs-University Freiburg, Germany Link
2021
Classifying Anomalies THrough Outer Density Estimation (CATHODE)
Poster by A. Hallin, J. Isaacson, G. Kasieczka, C. Krause, B. Nachman, T. Quadfasel, M. Schlaffer, D. Shih, M. Sommerhalder, presented by M. Sommerhalder at the Machine Learning and the Physical Sciences (ML4PS) workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) 2021 (virtual), 13. December Link
Poster by A. Hallin, J. Isaacson, G. Kasieczka, C. Krause, B. Nachman, T. Quadfasel, M. Schlaffer, D. Shih, M. Sommerhalder, presented by M. Sommerhalder at the Machine Learning and the Physical Sciences (ML4PS) workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) 2021 (virtual), 13. December Link
Generative Models for Hadron Shower Simulation
Poster by E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, W. Korcari, K. Krüger, P. McKeown, L. Rustige, presented by S. Diefenbacher at the Machine Learning and the Physical Sciences (ML4PS) workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) 2021 (virtual), 13. December Link
Poster by E. Buhmann, S. Diefenbacher, E. Eren, F. Gaede, D. Hundhausen, G. Kasieczka, W. Korcari, K. Krüger, P. McKeown, L. Rustige, presented by S. Diefenbacher at the Machine Learning and the Physical Sciences (ML4PS) workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) 2021 (virtual), 13. December Link
Symmetries and Self-Supervision in Particle Physics
Poster by B. Dillon, G. Kasieczka, H. Olischläger, T. Plehn, P. Sorrenson, L. Vogel, presented by B. Dillon at the Machine Learning and the Physical Sciences (ML4PS) workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) 2021 (virtual), 13. December Link
Poster by B. Dillon, G. Kasieczka, H. Olischläger, T. Plehn, P. Sorrenson, L. Vogel, presented by B. Dillon at the Machine Learning and the Physical Sciences (ML4PS) workshop at the 35th Conference on Neural Information Processing Systems (NeurIPS) 2021 (virtual), 13. December Link
Machine learning for LLP searches at the LHC and beyond: Overview and future
Talk by G. Kasieczka at the LHC and beyond: Tenth workshop of the LLP Community, 11. November, CERN (virtual) Link
Talk by G. Kasieczka at the LHC and beyond: Tenth workshop of the LLP Community, 11. November, CERN (virtual) Link
Shared Data and Algorithms for Deep Learning in Fundamental Physics
Talk by W. Korcari at the Artificial Intelligence for Science, Industry and Society (AISIS) 2021 symposium, 13. October, Universidad Nacional Autónoma de México (UNAM), Mexico City (virtual) Link
Talk by W. Korcari at the Artificial Intelligence for Science, Industry and Society (AISIS) 2021 symposium, 13. October, Universidad Nacional Autónoma de México (UNAM), Mexico City (virtual) Link
Introduction to machine learning in high energy physics
Talk by G. Kasieczka at the Machine learning in high energy physics: a conversation over ice cream seminar, 5. October, CERN (virtual) Link
Talk by G. Kasieczka at the Machine learning in high energy physics: a conversation over ice cream seminar, 5. October, CERN (virtual) Link
Unsupervised anomaly detection as a new strategy for discovery
Talk by G. Kasieczka at AI & Physics - Applied Machine Learning Days, 30. September, EPFL Lausanne (virtual) Link
Talk by G. Kasieczka at AI & Physics - Applied Machine Learning Days, 30. September, EPFL Lausanne (virtual) Link
Unsupervised anomaly detection
Talk by G. Kasieczka at the OTTO Group Developer Conference, 8. September, Hamburg, Germany
Talk by G. Kasieczka at the OTTO Group Developer Conference, 8. September, Hamburg, Germany
Methods and Datasets for Group Anomaly Detection From Fundamental Physics
Talk by G. Kasieczka at the ANDEA Workshop at KDD Conference, Google site
Talk by G. Kasieczka at the ANDEA Workshop at KDD Conference, Google site
Amplifying Statistics with Ensembles of Generative Models
Talk by S. Bieringer at the ML4Jets2021 Conference, 8. July, Heidelberg, Germany Link
Talk by S. Bieringer at the ML4Jets2021 Conference, 8. July, Heidelberg, Germany Link
Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network
Talk by E. Buhmann at the ML4Jets2021 Conference, 8. July, Heidelberg, Germany Link
Talk by E. Buhmann at the ML4Jets2021 Conference, 8. July, Heidelberg, Germany Link
The Blessing of Dimensionality: Dimensionality Estimation for Event Clustering
Talk by M. Jacobsen at the ML4Jets2021 Conference, 8. July, Heidelberg, Germany Link
Talk by M. Jacobsen at the ML4Jets2021 Conference, 8. July, Heidelberg, Germany Link
Shared Data and Algorithms for Deep Learning in Fundamental Physics
Talk by W. Korcari at the ML4Jets2021 Conference, 7. July, Heidelberg, Germany Link
Talk by W. Korcari at the ML4Jets2021 Conference, 7. July, Heidelberg, Germany Link
OnlineFlow: Trigger Free Analysis Using Online Learned Generative Models
Talk by S. Diefenbacher at the ML4Jets2021 Conference, 7. July, Heidelberg, Germany Link
Talk by S. Diefenbacher at the ML4Jets2021 Conference, 7. July, Heidelberg, Germany Link
CATHODE part 2: robustness and comparison to other methods
Talk by M. Sommerhalder at the ML4Jets2021 Conference, 6. July, Heidelberg, Germany Link
Talk by M. Sommerhalder at the ML4Jets2021 Conference, 6. July, Heidelberg, Germany Link
Machine Learning Landscape of Top Tagging
Talk by G. Kasieczka at the CERN workshop "Jets and their substructure from LHC data" (virtual), 1. June Link
Talk by G. Kasieczka at the CERN workshop "Jets and their substructure from LHC data" (virtual), 1. June Link
Fast and Accurate Electromagnetic and Hadronic Showers from Generative Models
Plenary talk (virtual) held by S. Diefenbacher at the 25th International Conference on Computing in High-Energy and Nuclear Physics (vCHEP 2021), 20. May Link
Plenary talk (virtual) held by S. Diefenbacher at the 25th International Conference on Computing in High-Energy and Nuclear Physics (vCHEP 2021), 20. May Link
Decoding Photons: Physics in the Latent Space of a BIB-AE Generative Network
Parallel talk (virtual) held by E. Buhmann at the 25th International Conference on Computing in High-Energy and Nuclear Physics (vCHEP 2021), 20. May Link
Parallel talk (virtual) held by E. Buhmann at the 25th International Conference on Computing in High-Energy and Nuclear Physics (vCHEP 2021), 20. May Link
Generative Models for Particle Shower Simulation in Fundamental Physics
Poster by E. Buhman, S. Diefenbacher, E. Eren et al., presented by E. Eren at the Deep Learning for Simulation (simDL) session at the ICLR 2021 workshop (virtual), 7. May Link
Poster by E. Buhman, S. Diefenbacher, E. Eren et al., presented by E. Eren at the Deep Learning for Simulation (simDL) session at the ICLR 2021 workshop (virtual), 7. May Link
Amplifying Statistics with Ensembles of Generative Models
Poster by A. Butter, S. Diefenbacher, G. Kasieczka et al., presented by S. Diefenbacher at the Deep Learning for Simulation (simDL) session at the ICLR 2021 workshop (virtual), 7. May Link
Poster by A. Butter, S. Diefenbacher, G. Kasieczka et al., presented by S. Diefenbacher at the Deep Learning for Simulation (simDL) session at the ICLR 2021 workshop (virtual), 7. May Link
Unsupervised Learning for Fun and Precision
Talk by G. Kasieczka at the Kavli Institute for Theoretical Physics (KITP) Program: New Physics from Precision at High Energies (virtual), 18. March, Santa Barbara, USA, Link
Talk by G. Kasieczka at the Kavli Institute for Theoretical Physics (KITP) Program: New Physics from Precision at High Energies (virtual), 18. March, Santa Barbara, USA, Link
Deep Learning the hidden life of elementary particles
Talk by G. Kasieczka at the Hamburg University Department of Informatics (INF) seminar (virtual), 11. January, Hamburg, Germany, Link
Talk by G. Kasieczka at the Hamburg University Department of Informatics (INF) seminar (virtual), 11. January, Hamburg, Germany, Link
2020
Long-lived Particles at CMS
Talk by L. Benato at FSP Workshop: Long-lived particles at Belle II (virtual), 11. December 2020, Hamburg, Germany, Link
Talk by L. Benato at FSP Workshop: Long-lived particles at Belle II (virtual), 11. December 2020, Hamburg, Germany, Link
Amplifying Statistics using Generative Models
Talk by S. Diefenbacher at the Machine Learning and the Physical Sciences Workshop at NeurIPS2020 conference, 11. December 2020, Link
GANplifying Event Samples
Talk by S. Diefenbacher at the 4th Inter-experiment Machine Learning Workshop (virtual), 21. October 2020, Link
Faster, deeper, stronger: Machines learn particle physics
Talk by G. Kasieczka at Upssala University accelerator/nuclear/high energy physics seminar (virtual), 14. May 2020, Link
Talk by G. Kasieczka at Upssala University accelerator/nuclear/high energy physics seminar (virtual), 14. May 2020, Link
Faster, deeper, stronger: Machines learn particle physics
Talk by G. Kasieczka at the Physics Division Research Progress Meeting at LBNL, Berkeley, USA, 22. January 2020, Link
Deep Learning based Energy Reconstruction and Event Generation for the CALICE AHCAL
Talk by E. Buhmann at the Machine Learning for Jet Physics Workshop, NYU, USA, 17. January 2020, Link
Disco Fever
Talk by G. Kasieczka at the Machine Learning for Jet Physics Workshop, NYU, USA, 16. January 2020, Link
CapsNets Continuing the Convolutional Quest
Talk by S. Diefenbacher at the Machine Learning for Jet Physics Workshop, NYU, USA, 15. January 2020, Link
2019
Uncertainties, Bayesian Networks, Decorrelation and Anomalies
Seminar Talk by G. Kasieczka at the CUI (Computer Science Center), University of Geneva, Switzerland
Attention-based reconstruction for ttH(bb) in CMS
Talk by T. Lösche at the 13th Annual Meeting of the Helmholtz Alliance "Physics at the Terascale", Hamburg, Germany, 26. November 2019, Link
Faster, deeper, stronger: Machines learn particle physics
Talk by G. Kasieczka at the Physics Colloquium, TU Dresden, Germany, 22. October 2019, Link
Applications of Deep Learning in high energy physics
Invited talk by G. Kasieczka at the GIS-Symposion, Frankfurt Institute for Advanced Studies (FIAS), Germany
Uncertainties of Network Predictions
Invited talk by G. Kasieczka at the Hammers and Nails workshop 2019, Weizmann Institute, Israel, 6. August 2019, Link
Boost Camp: Machine Learning Methods
Introductory talk by G. Kasieczka at the BOOST 2019 Conference, MIT, USA, 21. July 2019, Link
Seeing the unimagined: Unsupervised discovery of new physics at the LHC
Talk by G. Kasieczka at the Nuclear and Particle Physics Colloquium, MIT, USA
Deep Learning at the LHC: Tagging Resonances & Discovering New Physics
Talk by G. Kasieczka at the DESY Colloquium, DESY Hamburg and Zeuthen, Germany, 10. April 2019, Link
Deep Learning at the LHC: Tagging Resonances & Discovering New Physics
Talk by G. Kasieczka at the DESY Colloquium, DESY Hamburg and Zeuthen, Germany, 10. April 2019, Link
2018
QCD or What: Deep autoencoder based searches for new physics
Talk by G. Kasieczka at the Machine Learning for Jet Physics Workshop, Fermilab, USA, 16. November 2018, Link
Machine learning for Dark Showers
Invited talk by G. Kasieczka at "Searching for long-lived particles at the LHC: Fourth workshop of the LHC LLP Community", Amsterdam, Netherlands, 25. October 2018, Link
Deep Neural Networks for Physics at the LHC
Invited seminar by G. Kasieczka at the Particle and Astroparticle Physics Colloquium at RWTH Aachen, Germany, 26. June 2018, Link
Jet Substructure
Invited talk by G. Kasieczka at "Higgs Toppings Workshop - Probing Top-Higgs Interactions at the LHC", Benasque, Spain, 30. May 2018, Link
Basics of Deep Learning & Applications in Particle Physics
Semi-invited talk by G. Kasieczka at the annual conference of the German Physical Society, Würzburg, Germany, 22. March 2018, Link
Deep & Heavy: Using machine learning for boosted resonance tagging and beyond
Invited seminar talk by G. Kasieczka at the Cavendish HEP Seminars, Cambridge, UK, 20. February 2018, Link
2017
Deep Learning for Particle Identification
Invited seminar talk by G. Kasieczka at Particle Physics Colloquium, University of Heidelberg, Germany
Deep & Heavy: Using machine learning for boosted resonance tagging
Invited seminar talk by G. Kasieczka at High Energy Experimental Seminars, Rutgers University, USA, 8. December 2017, Link
Overview of boosted top tagging methods
Invited talk by G. Kasieczka at the Top 2017 conference, Braga, Portugal, 22. September 2017, Link