Alert button
Picture for Christian Herwig

Christian Herwig

Alert button

Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC

Jun 07, 2023
Rohan Shenoy, Javier Duarte, Christian Herwig, James Hirschauer, Daniel Noonan, Maurizio Pierini, Nhan Tran, Cristina Mantilla Suarez

Figure 1 for Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
Figure 2 for Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
Figure 3 for Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
Figure 4 for Differentiable Earth Mover's Distance for Data Compression at the High-Luminosity LHC
Viaarxiv icon

FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning

Jul 16, 2022
Javier Duarte, Nhan Tran, Ben Hawks, Christian Herwig, Jules Muhizi, Shvetank Prakash, Vijay Janapa Reddi

Figure 1 for FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
Figure 2 for FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
Figure 3 for FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
Figure 4 for FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning
Viaarxiv icon

Physics Community Needs, Tools, and Resources for Machine Learning

Mar 30, 2022
Philip Harris, Erik Katsavounidis, William Patrick McCormack, Dylan Rankin, Yongbin Feng, Abhijith Gandrakota, Christian Herwig, Burt Holzman, Kevin Pedro, Nhan Tran, Tingjun Yang, Jennifer Ngadiuba, Michael Coughlin, Scott Hauck, Shih-Chieh Hsu, Elham E Khoda, Deming Chen, Mark Neubauer, Javier Duarte, Georgia Karagiorgi, Mia Liu

Figure 1 for Physics Community Needs, Tools, and Resources for Machine Learning
Figure 2 for Physics Community Needs, Tools, and Resources for Machine Learning
Figure 3 for Physics Community Needs, Tools, and Resources for Machine Learning
Figure 4 for Physics Community Needs, Tools, and Resources for Machine Learning
Viaarxiv icon

Applications and Techniques for Fast Machine Learning in Science

Oct 25, 2021
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bahr, Jurgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomas E. Muller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Kyle J Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belinavon Krosigk, Thomas K. Warburton, Maria Acosta Flechas, Anthony Aportela, Thomas Calvet, Leonardo Cristella, Daniel Diaz, Caterina Doglioni, Maria Domenica Galati, Elham E Khoda, Farah Fahim, Davide Giri, Benjamin Hawks, Duc Hoang, Burt Holzman, Shih-Chieh Hsu, Sergo Jindariani, Iris Johnson, Raghav Kansal, Ryan Kastner, Erik Katsavounidis, Jeffrey Krupa, Pan Li, Sandeep Madireddy, Ethan Marx, Patrick McCormack, Andres Meza, Jovan Mitrevski, Mohammed Attia Mohammed, Farouk Mokhtar, Eric Moreno, Srishti Nagu, Rohin Narayan, Noah Palladino, Zhiqiang Que, Sang Eon Park, Subramanian Ramamoorthy, Dylan Rankin, Simon Rothman, Ashish Sharma, Sioni Summers, Pietro Vischia, Jean-Roch Vlimant, Olivia Weng

Figure 1 for Applications and Techniques for Fast Machine Learning in Science
Figure 2 for Applications and Techniques for Fast Machine Learning in Science
Figure 3 for Applications and Techniques for Fast Machine Learning in Science
Figure 4 for Applications and Techniques for Fast Machine Learning in Science
Viaarxiv icon

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC

May 04, 2021
Giuseppe Di Guglielmo, Farah Fahim, Christian Herwig, Manuel Blanco Valentin, Javier Duarte, Cristian Gingu, Philip Harris, James Hirschauer, Martin Kwok, Vladimir Loncar, Yingyi Luo, Llovizna Miranda, Jennifer Ngadiuba, Daniel Noonan, Seda Ogrenci-Memik, Maurizio Pierini, Sioni Summers, Nhan Tran

Figure 1 for A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
Figure 2 for A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
Figure 3 for A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
Figure 4 for A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC
Viaarxiv icon

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Mar 23, 2021
Farah Fahim, Benjamin Hawks, Christian Herwig, James Hirschauer, Sergo Jindariani, Nhan Tran, Luca P. Carloni, Giuseppe Di Guglielmo, Philip Harris, Jeffrey Krupa, Dylan Rankin, Manuel Blanco Valentin, Josiah Hester, Yingyi Luo, John Mamish, Seda Orgrenci-Memik, Thea Aarrestad, Hamza Javed, Vladimir Loncar, Maurizio Pierini, Adrian Alan Pol, Sioni Summers, Javier Duarte, Scott Hauck, Shih-Chieh Hsu, Jennifer Ngadiuba, Mia Liu, Duc Hoang, Edward Kreinar, Zhenbin Wu

Figure 1 for hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Figure 2 for hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Figure 3 for hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Figure 4 for hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Viaarxiv icon