| 11/2025 | Generative AI for High & Low Energy Physics, Santa Barbara (USA) | Generative and Bridge-based Unfolding |
| 09/2025 | ACAT, Hamburg (Germany) | The FAIR Universe Project
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| 08/2025 | ML4Jets, Pasadena (USA) | Discriminative versus Generative Approaches to Simulation-based Inference |
| 12/2024 | NeurIPS, Vancouver (Canada) | HiggsML Uncertainty Challenge Introduction |
| 11/2024 | ML4Jets, Paris (France) | Bridging the Generative Unfolding Gap |
| 11/2023 | Artificial Intelligence and the Uncertainty challenge in Fundamental Physics, Paris (France) | Metrics for Uncertainty-Aware ML Methods |
| 11/2023 | ML4Jets, Hamburg (Germany) | Refining Fast Calorimeter Simulations with a Schrödinger Bridge |
| 05/2022 | 5th Inter-experiment Machine Learning Workshop, Geneva (Switzerland) | Ephemeral Learning – Augmenting Triggers with Online-Trained Normalizing Flows |
| 04/2022 | Learning To Discover, Paris (France) | Generator Models for 4-momenta Events |
| 12/2021 | Machine Learning and the Physical Sciences, NeurIPS, Online | Generative models for hadron shower simulation (video) |
| 11/2021 | 20th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Daejeon (South Korea) | Fast and Accurate Electromagnetic and Hadronic Showers from Generative Models |
| 07/2021 | ML4Jets, Heidelberg (Germany) | OnlineFlow: Trigger Free Analysis Using Online Learned Generative Models |
| 05/2021 | 25th International Conference on Computing in High-Energy and Nuclear Physics, Online | Fast and Accurate Electromagnetic and Hadronic Showers from Generative Models |
| 05/2021 | Deep Learning for Simulation, ICLR, Online | Amplifying Statistics with Ensembles of Generative Models |
| 12/2020 | Machine Learning and the Physical Sciences, NeurIPS, Online | Amplifying Statistics using Generative Models (video) |
| 10/2020 | 4th Inter-experiment Machine Learning Workshop, Online | GANplifying Event Samples |
| 01/2020 | ML4Jets, New York (USA) | CapsNets Continuing the Convolutional Quest |