User profiles for author:"Kobylianskii Dmitrii" OR author:" Dmitrii Kobylianskii"
 | Dmitrii KobylianskiiPh.D. student, Weizmann Institute of Science Verified email at weizmann.ac.il Cited by 1025 |
Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry
D Kobylianskii, N Soybelman, E Dreyer, E Gross - Physical Review D, 2024 - APS
Denoising diffusion models have gained prominence in various generative tasks, prompting
their exploration for the generation of calorimeter responses. Given the computational …
their exploration for the generation of calorimeter responses. Given the computational …
CaloGraph: Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry
D Kobylianskii, N Soybelman, E Dreyer… - arXiv preprint arXiv …, 2024 - arxiv.org
Denoising diffusion models have gained prominence in various generative tasks, prompting
their exploration for the generation of calorimeter responses. Given the computational …
their exploration for the generation of calorimeter responses. Given the computational …
Advancing Set-Conditional Set Generation: Graph Diffusion for Fast Simulation of Reconstructed Particles
D Kobylianskii, N Soybelman, N Kakati… - arXiv preprint arXiv …, 2024 - arxiv.org
The computational intensity of detailed detector simulations poses a significant bottleneck in
generating simulated data for collider experiments. This challenge inspires the continued …
generating simulated data for collider experiments. This challenge inspires the continued …
Advancing set-conditional set generation: Diffusion models for fast simulation of reconstructed particles
D Kobylianskii, N Soybelman, N Kakati, E Dreyer… - Physical Review D, 2024 - APS
The computational intensity of detector simulation and event reconstruction poses a
significant difficulty for data analysis in collider experiments. This challenge inspires the …
significant difficulty for data analysis in collider experiments. This challenge inspires the …
Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
Detector simulation and reconstruction are a significant computational bottleneck in particle
physics. We develop particle-flow neural-assisted simulations (parnassus) to address this …
physics. We develop particle-flow neural-assisted simulations (parnassus) to address this …
Calochallenge 2022: A community challenge for fast calorimeter simulation
C Krause, MF Giannelli, G Kasieczka… - arXiv preprint arXiv …, 2024 - arxiv.org
We present the results of the" Fast Calorimeter Simulation Challenge 2022"-the
CaloChallenge. We study state-of-the-art generative models on four calorimeter shower …
CaloChallenge. We study state-of-the-art generative models on four calorimeter shower …
PASCL: supervised contrastive learning with perturbative augmentation for particle decay reconstruction
In high-energy physics, particles produced in collision events decay in a format of a
hierarchical tree structure, where only the final decay products can be observed using …
hierarchical tree structure, where only the final decay products can be observed using …
Umami: A Python toolkit for jet flavour tagging
J Barr, J Birk, M Draguet, S Franchellucci… - Journal of Open …, 2024 - joss.theoj.org
Flavour-tagging, the identification of collimated sprays of particles (“jets”) originating from
bottom and charm quarks, is a critically important technique in the data analysis of the …
bottom and charm quarks, is a critically important technique in the data analysis of the …
Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
Detector simulation and reconstruction are a significant computational bottleneck in particle
physics. We develop Particle-flow Neural Assisted Simulations (Parnassus) to address this …
physics. We develop Particle-flow Neural Assisted Simulations (Parnassus) to address this …
arXiv: CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
O Amram, S Diefenbacher, R Zhang, E Dreyer… - 2024 - cds.cern.ch
We present the results of the" Fast Calorimeter Simulation Challenge 2022"-the
CaloChallenge. We study state-of-the-art generative models on four calorimeter shower …
CaloChallenge. We study state-of-the-art generative models on four calorimeter shower …