Manuel Blanco Valentin

According to our database, Manuel Blanco Valentin authored at least 7 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware.

Jan-Frederik Schulte, Benjamin Ramhorst, Chang Sun, Jovan Mitrevski, Nicolò Ghielmetti, Enrico Lupi, Dimitrios Danopoulos, Vladimir Loncar, Javier M. Duarte, David Burnette, Lauri Laatu, Stylianos Tzelepis, Konstantinos Axiotis, Quentin Berthet, Haoyan Wang, Paul White, Suleyman Demirsoy, Marco Colombo, Thea Aarrestad, Sioni Summers, Maurizio Pierini, Giuseppe Di Guglielmo, Jennifer Ngadiuba, Javier Campos, Benjamin Hawks, Abhijith Gandrakota, Farah Fahim, Nhan Tran, George A. Constantinides, Zhiqiang Que, Wayne Luk, Alexander D. Tapper, Duc Hoang, Noah Paladino, Philip C. Harris, Bo-Cheng Lai, Manuel Blanco Valentin, Ryan F. Forelli, Seda Ogrenci, Lino Gerlach, Rian Flynn, Mia Liu, Daniel Diaz, Elham E Khoda, Melissa Quinnan, Russell Solares, Santosh Parajuli, Mark S. Neubauer, Christian Herwig, Ho Fung Tsoi, Dylan S. Rankin, Shih-Chieh Hsu, Scott Hauck

CoRR, December, 2025

Toward Reconfigurable In-Pixel Computing: A Fault-Tolerant Design Flow for Machine Learning Accelerators: (Invited Paper).

Houxuan Guo, Manuel Blanco Valentin, Xiuyuan He, Seda Ogrenci

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

2024

Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning.

Jieun Yoo, Jennet Dickinson, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Douglas Berry, Manuel Blanco Valentin, Karri Dipetrillo, Farah Fahim, Lindsey Gray, James Hirschauer, Shruti R. Kulkarni, Ron Lipton, Petar Maksimovic, Corrinne Mills, Mark S. Neubauer, Benjamin Parpillon, Gauri Pradhan, Chinar Syal, Nhan Tran, Dahai Wen, Aaron Young

Mach. Learn. Sci. Technol., 2024

2023

A Cryogenic Readout IC with 100 KSPS in-Pixel ADC for Skipper CCD-in-CMOS Sensors.

Adam Quinn, Manuel Blanco Valentin, Thomas Zimmerman, Davide Braga, Seda Ogrenci Memik, Farah Fahim

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2021

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

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

CoRR, 2021

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

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

CoRR, 2021

2016

Rock Texture Classification Using Spectral Analysis And Genetically Optimized Texture Features.

Manuel Blanco Valentin, Clecio Roque De Bom, Márcio Portes de Albuquerque, Marcelo Portes de Albuquerque, Elisangela Faria, Maury Duarte Correia, Rodrigo Surmas

CoRR, 2016