Alexander Shmakov

27 papers A* 4Journal 19Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion. CoRR Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
2024	J	`jnl`	Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. CoRR Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho
2024	J	`jnl`	Reconstruction of boosted and resolved multi-Higgs-boson events with symmetry-preserving attention networks. CoRR Haoyang Li, Marko Stamenkovic, Alexander Shmakov, Michael Fenton, Darius Shih-Chieh Chao, Kaitlyn Maiya White, Caden Mikkelsen, Jovan Mitic, Cristina Mantilla Suarez, Melissa Quinnan, Greg Landsberg, Harvey B. Newman, Pierre Baldi, Daniel Whiteson, Javier M. Duarte
2024	J	`jnl`	The Landscape of Unfolding with Machine Learning. CoRR Nathan Huetsch, Javier Mariño Villadamigo, Alexander Shmakov, Sascha Diefenbacher, Vinicius Mikuni, Theo Heimel, Michael James Fenton, Kevin Greif, Benjamin Nachman, Daniel Whiteson, Anja Butter, Tilman Plehn
2023	A*	`conf`	AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. NeurIPS Mohammadamin Tavakoli, Pierre Baldi, Ann Marie Carlton, Yin Ting T. Chiu, Alexander Shmakov, David Van Vranken
2023	J	`jnl`	AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning. CoRR Mohammadamin Tavakoli, Yin Ting T. Chiu, Alexander Shmakov, Ann Marie Carlton, David Van Vranken, Pierre Baldi
2023	A*	`conf`	End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. NeurIPS Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
2023	J	`jnl`	End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics. CoRR Alexander Shmakov, Kevin Greif, Michael James Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
2023	J	`jnl`	Extended Symmetry Preserving Attention Networks for LHC Analysis. CoRR Michael James Fenton, Alexander Shmakov, Hideki Okawa, Yuji Li, Ko-Yang Hsiao, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi
2023	A*	`conf`	Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves. IJCAI Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Avisek Naug, Alexandre Pichard, Mathieu Cocho
2023	J	`jnl`	Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers. CoRR Alexander Shmakov, Alejandro Yankelevich, Jianming Bian, Pierre Baldi
2023	—	`conf`	RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CASE Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar
2023	J	`jnl`	RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels. CoRR Alexander Shmakov, Avisek Naug, Vineet Gundecha, Sahand Ghorbanpour, Ricardo Luna Gutierrez, Ashwin Ramesh Babu, Antonio Guillen, Soumyendu Sarkar
2023	—	`conf`	Robustness with Black-Box Adversarial Attack using Reinforcement Learning. SafeAI@AAAI Soumyendu Sarkar, Ashwin Ramesh Babu, Sajad Mousavi, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ricardo Luna Gutierrez, Antonio Guillen, Avisek Naug
2022	J	`jnl`	Deep Learning Models of the Discrete Component of the Galactic Interstellar Gamma-Ray Emission. CoRR Alexander Shmakov, Mohammadamin Tavakoli, Pierre Baldi, Christopher M. Karwin, Alex Broughton, Simona Murgia
2022	A*	`conf`	Multi-Agent Reinforcement Learning Controller to Maximize Energy Efficiency for Multi-Generator Industrial Wave Energy Converter. AAAI Soumyendu Sarkar, Vineet Gundecha, Alexander Shmakov, Sahand Ghorbanpour, Ashwin Ramesh Babu, Paolo Faraboschi, Mathieu Cocho, Alexandre Pichard, Jonathan Fievez
2022	J	`jnl`	Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation. CoRR Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi
2022	—	`conf`	Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CASE Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho
2022	J	`jnl`	Skip Training for Multi-Agent Reinforcement Learning Controller for Industrial Wave Energy Converters. CoRR Soumyendu Sarkar, Vineet Gundecha, Sahand Ghorbanpour, Alexander Shmakov, Ashwin Ramesh Babu, Alexandre Pichard, Mathieu Cocho
2021	J	`jnl`	A* Search Without Expansions: Learning Heuristic Functions with Deep Q-Networks. CoRR Forest Agostinelli, Alexander Shmakov, Stephen McAleer, Roy Fox, Pierre Baldi
2021	J	`jnl`	SPANet: Generalized Permutationless Set Assignment for Particle Physics using Symmetry Preserving Attention. CoRR Alexander Shmakov, Michael James Fenton, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi
2020	J	`jnl`	Permutationless Many-Jet Event Reconstruction with Symmetry Preserving Attention Networks. CoRR Michael James Fenton, Alexander Shmakov, Ta-Wei Ho, Shih-Chieh Hsu, Daniel Whiteson, Pierre Baldi
2019	J	`jnl`	ColosseumRL: A Framework for Multiagent Reinforcement Learning in N-Player Games. CoRR Alexander Shmakov, John B. Lanier, Stephen McAleer, Rohan Achar, Cristina V. Lopes, Pierre Baldi
2019	J	`jnl`	Deep Learning for Drug Discovery and Cancer Research: Automated Analysis of Vascularization Images. IEEE ACM Trans. Comput. Biol. Bioinform. Gregor Urban, Kevin Bache, Duc T. T. Phan, Agua Sobrino, Alexander Shmakov, Stephanie J. Hachey, Christopher C. W. Hughes, Pierre Baldi
2019	—	`conf`	Solving the Rubik's Cube with Approximate Policy Iteration. ICLR (Poster) Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi
2019	J	`jnl`	Solving the Rubik's cube with deep reinforcement learning and search. Nat. Mach. Intell. Forest Agostinelli, Stephen McAleer, Alexander Shmakov, Pierre Baldi
2018	J	`jnl`	Solving the Rubik's Cube Without Human Knowledge. CoRR Stephen McAleer, Forest Agostinelli, Alexander Shmakov, Pierre Baldi