Michael Kagan

Orcid: 0000-0002-3386-6869

According to our database1, Michael Kagan authored at least 30 papers between 1997 and 2024.

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Bibliography

2024
Re-Simulation-based Self-Supervised Learning for Pre-Training Foundation Models.
CoRR, 2024

Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models.
CoRR, 2024

2023
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml.
Mach. Learn. Sci. Technol., June, 2023

Differentiable Vertex Fitting for Jet Flavour Tagging.
CoRR, 2023

Branches of a Tree: Taking Derivatives of Programs with Discrete and Branching Randomness in High Energy Physics.
CoRR, 2023

2022
Interpretable Uncertainty Quantification in AI for HEP.
CoRR, 2022

Novel Light Field Imaging Device with Enhanced Light Collection for Cold Atom Clouds.
CoRR, 2022

Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges.
CoRR, 2022

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation.
CoRR, 2022

Differentiable Matrix Elements with MadJax.
CoRR, 2022

2021
End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.
CoRR, 2021

CryoPoseNet: End-to-End Simultaneous Learning of Single-particle Orientation and 3D Map Reconstruction from Cryo-electron Microscopy Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
The high-speed networks of the Summit and Sierra supercomputers.
IBM J. Res. Dev., 2020

Image-Based Jet Analysis.
CoRR, 2020

Differentiating the Black-Box: Optimization with Local Generative Surrogates.
CoRR, 2020

Black-Box Optimization with Local Generative Surrogates.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Continual Learning via Neural Pruning.
CoRR, 2019

2018
Machine learning at the energy and intensity frontiers of particle physics.
Nat., 2018

Machine Learning in High Energy Physics Community White Paper.
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CoRR, 2018

2017
Learning to Pivot with Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2013
The co-design architecture for exascale systems, a novel approach for scalable designs.
Comput. Sci. Res. Dev., 2013

2011
The development of Mellanox/NVIDIA GPUDirect over InfiniBand - a new model for GPU to GPU communications.
Comput. Sci. Res. Dev., 2011

2010
Overlapping computation and communication: Barrier algorithms and ConnectX-2 CORE-Direct capabilities.
Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing, 2010

ConnectX-2 InfiniBand Management Queues: First Investigation of the New Support for Network Offloaded Collective Operations.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009
Optics for Enabling Future HPC Systems.
Proceedings of the 17th IEEE Symposium on High Performance Interconnects, 2009

2006
InfiniBand interconnects - Application acceleration through MPI overlap.
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006

2005
Zero Copy Sockets Direct Protocol over InfiniBand - Preliminary Implementation and Performance Analysis.
Proceedings of the 13th Annual IEEE Symposium on High Performance Interconnects (HOTIC 2005), 2005

Transparently Achieving Superior Socket Performance Using Zero Copy Socket Direct Protocol over 20Gb/s InfiniBand Links.
Proceedings of the 2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26, 2005

1997
The Pentium® processor with MMX™ technology.
Proceedings of the Proceedings IEEE COMPCON 97, 1997


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