Michael Kagan - RankMe

45 papers A* 1A 2B 1C 1Journal 34Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Neural Scaling Laws for Boosted Jet Tagging. CoRR Matthias Vigl, Nicole Michelle Hartman, Michael Kagan, Lukas Heinrich
2026	J	`jnl`	PQuantML: A Tool for End-to-End Hardware-aware Model Compression. CoRR Roope Niemi, Anastasiia Petrovych, Arghya Ranjan Das, Enrico Lupi, Chang Sun, Dimitrios Danopoulos, Marlon Joshua Helbing, Mia Liu, Sebastian Dittmeier, Michael Kagan, Vladimir Loncar, Maurizio Pierini
2026	J	`jnl`	Supercharging Simulation-Based Inference for Bayesian Optimal Experimental Design. CoRR Samuel Klein, Willie Neiswanger, Daniel Ratner, Michael Kagan, Sean Gasiorowski
2025	J	`jnl`	AIE4ML: An End-to-End Framework for Compiling Neural Networks for the Next Generation of AMD AI Engines. CoRR Dimitrios Danopoulos, Enrico Lupi, Chang Sun, Sebastian Dittmeier, Michael Kagan, Vladimir Loncar, Maurizio Pierini
2025	J	`jnl`	Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders. CoRR Farouk Mokhtar, Joosep Pata, Dolores Garcia, Eric Wulff, Mengke Zhang, Michael Kagan, Javier M. Duarte
2025	J	`jnl`	Flow annealed importance sampling bootstrap meets differentiable particle physics. Mach. Learn. Sci. Technol. Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, Lukas Heinrich
2025	J	`jnl`	Is tokenization needed for masked particle modeling? Mach. Learn. Sci. Technol. Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2025	J	`jnl`	Optimization using pathwise algorithmic derivatives of electromagnetic shower simulations. Comput. Phys. Commun. Max Aehle, Mihály Novák, Vassil Vassilev, Nicolas R. Gauger, Lukas Heinrich, Michael Kagan, David J. Lange
2025	J	`jnl`	Simulation-Prior Independent Neural Unfolding Procedure. CoRR Anja Butter, Theo Heimel, Nathan Huetsch, Michael Kagan, Tilman Plehn
2024	J	`jnl`	Flow Annealed Importance Sampling Bootstrap meets Differentiable Particle Physics. CoRR Annalena Kofler, Vincent Stimper, Mikhail Mikhasenko, Michael Kagan, Lukas Heinrich
2024	J	`jnl`	Is Tokenization Needed for Masked Particle Modelling? CoRR Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy
2024	J	`jnl`	Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models. CoRR Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2024	J	`jnl`	Masked particle modeling on sets: towards self-supervised high energy physics foundation models. Mach. Learn. Sci. Technol. Tobias Golling, Lukas Heinrich, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine
2024	J	`jnl`	Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models. CoRR Philip C. Harris, Michael Kagan, Jeffrey D. Krupa, Benedikt Maier, Nathaniel Woodward
2024	J	`jnl`	Umami: A Python toolkit for jet flavour tagging. J. Open Source Softw. Jackson Barr, Joschka Birk, Maxence Draguet, Stefano Franchellucci, Alexander Froch, Philipp Gadow, Daniel Hay Guest, Manuel Guth, Nicole Michelle Hartman, Michael Kagan, Osama Karkout, Dmitrii Kobylianskii, Ivan Oleksiyuk, Nikita Ivvan Pond, Frederic Renner, Sebastien Rettie, Victor Hugo Ruelas Rivera, Tomke Schröer, Martino Tanasini, Samuel Van Stroud, Janik Von Ahnen
2023	J	`jnl`	Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics. CoRR Michael Kagan, Lukas Heinrich
2023	J	`jnl`	Differentiable Vertex Fitting for Jet Flavour Tagging. CoRR Rachel E. C. Smith, Inês Ochoa, Rúben Inácio, Jonathan Shoemaker, Michael Kagan
2023	J	`jnl`	Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. Mach. Learn. Sci. Technol. Elham E Khoda, Dylan S. Rankin, Rafael Teixeira de Lima, Philip C. Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang
2022	J	`jnl`	Differentiable Matrix Elements with MadJax. CoRR Lukas Heinrich, Michael Kagan
2022	J	`jnl`	Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges. CoRR Savannah Thais, Paolo Calafiura, Grigorios Chachamis, Gage DeZoort, Javier M. Duarte, Sanmay Ganguly, Michael Kagan, Daniel Murnane, Mark S. Neubauer, Kazuhiro Terao
2022	J	`jnl`	Interpretable Uncertainty Quantification in AI for HEP. CoRR Thomas Y. Chen, Biprateep Dey, Aishik Ghosh, Michael Kagan, Brian Nord, Nesar Ramachandra
2022	J	`jnl`	New directions for surrogate models and differentiable programming for High Energy Physics detector simulation. CoRR Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner
2022	J	`jnl`	Novel Light Field Imaging Device with Enhanced Light Collection for Cold Atom Clouds. CoRR Sanha Cheong, Josef C. Frisch, Sean Gasiorowski, Jason M. Hogan, Michael Kagan, Murtaza Safdari, Ariel Schwartzman, Maxime Vandegar
2022	J	`jnl`	Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml. CoRR Elham E Khoda, Dylan S. Rankin, Rafael Teixeira de Lima, Philip C. Harris, Scott Hauck, Shih-Chieh Hsu, Michael Kagan, Vladimir Loncar, Chaitanya Paikara, Richa Rao, Sioni Summers, Caterina Vernieri, Aaron Wang
2021	—	`conf`	CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. ICCVW Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chun Hong Yoon, Daniel Ratner
2021	J	`jnl`	End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data. CoRR Youssef S. G. Nashed, Frédéric Poitevin, Harshit Gupta, Geoffrey Woollard, Michael Kagan, Chuck Yoon, Daniel Ratner
2021	A	`conf`	Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. AISTATS Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe
2020	A*	`conf`	Black-Box Optimization with Local Generative Surrogates. NeurIPS Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Gunes Baydin
2020	J	`jnl`	Differentiating the Black-Box: Optimization with Local Generative Surrogates. CoRR Sergey Shirobokov, Vladislav Belavin, Michael Kagan, Andrey Ustyuzhanin, Atilim Günes Baydin
2020	J	`jnl`	Image-Based Jet Analysis. CoRR Michael Kagan
2020	J	`jnl`	Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference. CoRR Maxime Vandegar, Michael Kagan, Antoine Wehenkel, Gilles Louppe
2020	J	`jnl`	The high-speed networks of the Summit and Sierra supercomputers. IBM J. Res. Dev. Craig B. Stunkel, Richard L. Graham, Gilad Shainer, Michael Kagan, S. S. Sharkawi, Bryan S. Rosenburg, George Chochia
2019	J	`jnl`	Continual Learning via Neural Pruning. CoRR Siavash Golkar, Michael Kagan, Kyunghyun Cho
2018	J	`jnl`	Machine learning at the energy and intensity frontiers of particle physics. Nat. Alexander Radovic, Mike Williams, David Rousseau, Michael Kagan, Daniele Bonacorsi, Alexander Himmel, Adam Aurisano, Kazuhiro Terao, Taritree Wongjirad
2017	—	`conf`	Learning to Pivot with Adversarial Networks. NIPS Gilles Louppe, Michael Kagan, Kyle Cranmer
2016	J	`jnl`	Learning to Pivot with Adversarial Networks. CoRR Gilles Louppe, Michael Kagan, Kyle Cranmer
2013	J	`jnl`	The co-design architecture for exascale systems, a novel approach for scalable designs. Comput. Sci. Res. Dev. Gilad Shainer, Todd Wilde, Pak Lui, Tong Liu, Michael Kagan, Mike Dubman, Yiftah Shahar, Richard L. Graham, Pavel Shamis, Steve Poole
2011	J	`jnl`	The development of Mellanox/NVIDIA GPUDirect over InfiniBand - a new model for GPU to GPU communications. Comput. Sci. Res. Dev. Gilad Shainer, Ali Ayoub, Pak Lui, Tong Liu, Michael Kagan, Christian Trott, Greg Scantlen, Paul S. Crozier
2010	B	`conf`	ConnectX-2 InfiniBand Management Queues: First Investigation of the New Support for Network Offloaded Collective Operations. CCGRID Richard L. Graham, Steve Poole, Pavel Shamis, Gil Bloch, Noam Bloch, Hillel Chapman, Michael Kagan, Ariel Shahar, Ishai Rabinovitz, Gilad Shainer
2010	—	`conf`	Overlapping computation and communication: Barrier algorithms and ConnectX-2 CORE-Direct capabilities. IPDPS Workshops Richard L. Graham, Stephen W. Poole, Pavel Shamis, Gil Bloch, Noam Bloch, Hillel Chapman, Michael Kagan, Ariel Shahar, Ishai Rabinovitz, Gilad Shainer
2009	—	`conf`	Optics for Enabling Future HPC Systems. Hot Interconnects Gilad Shainer, Eyal Gutkind, Bill Lee, Michael Kagan, Yevgeny Kliteynik
2006	A	`conf`	InfiniBand interconnects - Application acceleration through MPI overlap. SC Michael Kagan
2005	C	`conf`	Transparently Achieving Superior Socket Performance Using Zero Copy Socket Direct Protocol over 20Gb/s InfiniBand Links. CLUSTER Dror Goldenberg, Michael Kagan, Ran Ravid, Michael S. Tsirkin
2005	—	`conf`	Zero Copy Sockets Direct Protocol over InfiniBand - Preliminary Implementation and Performance Analysis. Hot Interconnects Dror Goldenberg, Michael Kagan, Ran Ravid, Michael S. Tsirkin
1997	—	`conf`	The Pentium® processor with MMX™ technology. COMPCON Mooly Eden, Michael Kagan