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Alexander Shmakov

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AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning

Nov 02, 2023
Mohammadamin Tavakoli, Yin Ting T. Chiu, Alexander Shmakov, Ann Marie Carlton, David Van Vranken, Pierre Baldi

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RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels

Oct 09, 2023
Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar

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Extended Symmetry Preserving Attention Networks for LHC Analysis

Sep 05, 2023
Michael James Fenton, Alexander Shmakov, Hideki Okawa, Yuji Li, Ko-Yang Hsiao, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi

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End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

May 17, 2023
Alexander Shmakov, Kevin Greif, Michael Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson

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Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers

Mar 10, 2023
Alexander Shmakov, Alejandro Yankelevich, Jianming Bian, Pierre Baldi

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Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters

Sep 13, 2022
Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho

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Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission

Jun 06, 2022
Alexander Shmakov, Mohammadamin Tavakoli, Pierre Baldi, Christopher M. Karwin, Alex Broughton, Simona Murgia

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Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation

Jan 02, 2022
Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi

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SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention

Jun 07, 2021
Alexander Shmakov, Michael James Fenton, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi

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