Selected Talks & Presentations

Talk titled “ML for Physics, Simulating Particle Colisions with ML” at the Mathematics and Computer Science Seminar at IST Austria, Vienna, Austria.

Poster presentation titled “Hacking Generative Models with Differentiable Network bending” at the Eastern European Summer School, Novi Sad, Serbia.

Talk titled “Towards a data-driven model of hadronization using normalizing flows” at the DPF-Pheno conference in Pittburgh, USA.

Poster presentation titled “Hacking Generative Models with Differentiable Network bending”, with an associated paper, at the Machine Learning for Creativity and Design Workshop at the 37th conference on Neural Information Processing Systems New Orleans, Louisiana, United States.

Poster presentation titled “Towards data-driven models of hadronization”, with an associated paper and video, at the Machine Learning and the Physical Science Workshop at the 37th conference on Neural Information Processing Systems New Orleans, Louisiana, United States.

Talk titled “A Machine Learning Perspective on Hadronization Modeling with MLHAD” at PIKIMO 15 hosted by the Physics Department at Indiana University in Bloomington, Indiana, United States.

Talk titled “Earth Mover’s Distance as a meassure for CP-violation” at the 12 international Conference on the CKM Unitarity Triangle, Santiago de Compostela, Spain.

Poster presentation titled “ML for Physics; Simulating particle collisions” at the Mediterranean Machine Learning Summer …

Talk titled “Earth movers distance as a measure of CP violation” at the Teilchenkolloquium hosted by the Particle Physics Group at the TU Dortmund in Dortmund, Germany.

Talk titled “MLHAD; A Machine Learning based Simulation for Hadronization” at the IJS-FMF HEP Seminar hosted by the Jozef Stefan Institute, in Ljubljana, Slovenia.

Talk titled “MLHAD; A Machine Learning based Simulation for Hadronization” at the Particle Phenomenology Seminar hosted by the Theoretical Physics Group at Heidelberg University in Heidelberg, Germany.

Talk titled “MLHAD; A Machine Learning based Simulation for Hadronization” at the Physics and AI seminar hosted by the Deutsches Elektronen Synchrotron (DESY) in Hamburg, Germany.

Poster presentation titled “ML for Physics; Simulating particle collisions” at the Machine Learning Summer School on applications in Science at Jagiellonian University in Krakow, Poland.

Talk titled “Normalizing flows and uncertainty quantification in hadronization simulations” at the 2023 Phenomenology Symposium hosted by the University of Pittsburgh in Pittsburgh, Pennsylvania, United States.

Online talk titled “FASST, Few-Shot Abstractive Summarization for Text Style Transfer” at the 5th international Conference in Natural Language Processing, Guangzhou, China.

Poster presentation titled “Normalizing Flows for Fragmentation and Hadronization” at the Machine Learning and the Physical Science Workshop at the 36th conference on Neural Information Processing Systems New Orleans, Louisiana, United States.

Talk titled “Modeling Hadronization using Machine Learning” at the 2022 Phenomenology Symposium hosted by the University of Pittsburgh in Pittsburgh, Pennsylvania, United States.