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Javier Duarte
Associate Professor, Physics Department, University of California, San Diego
Joined
June 2020
Names
Javier Duarte
(Preferred)
,
Javier Mauricio Duarte
,
Javier M Duarte
,
Javier M. Duarte
Emails
****@ucsd.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@fnal.gov
(Confirmed)
,
****@mit.edu
(Confirmed)
,
****@physics.ucsd.edu
(Confirmed)
,
****@cern.ch
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
Associate Professor
Physics Department,
University of California, San Diego
(ucsd.edu)
2023
–
Present
Assistant Professor
Physics Department,
University of California, San Diego
(ucsd.edu)
2019
–
2023
Postdoc
Particle Physics Division,
Fermi National Accelerator Laboratory
(fnal.gov)
2016
–
2019
PhD student
Physics Department,
California Institute of Technology
(caltech.edu)
2011
–
2016
Undergrad student
Physics Department,
Massachusetts Institute of Technology
(mit.edu)
2006
–
2010
Advisors, Relations & Conflicts
PhD Advisee
Zihan Zhao
2022
–
Present
PhD Advisee
Haoyang Li
2022
–
Present
PhD Advisee
Farouk Mokhtar
2020
–
Present
Coauthor
Philip Harris
2017
–
Present
PhD Advisee
Raghav Kansal
2019
–
2024
Postdoc Advisor
Nhan Tran
2018
–
2019
Postdoc Advisor
Sergo Jindariani
2016
–
2018
PhD Advisor
Maria Spiropulu
2011
–
2016
Expertise
particle physics
Present
graph neural networks
Present
FPGAs
Present
real-time AI
Present
physics
Present
scientific datasets
Present
scientific benchmarks
Present
transformers
Present
efficient ML
Present
foundation models
Present
Publications
SymbolFit: Automatic Parametric Modeling with Symbolic Regression
Ho Fung Tsoi
,
Dylan S. Rankin
,
Cecile Caillol
,
Miles D. Cranmer
,
Sridhara Dasu
,
Javier M. Duarte
,
Philip C. Harris
,
Elliot Lipeles
,
Vladimir Loncar
Comput. Softw. Big Sci. 2025
Readers:
Everyone
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
et al. (33 additional authors not shown)
CoRR 2025
Readers:
Everyone
wa-hls4ml: A Benchmark and Surrogate Models for hls4ml Resource and Latency Estimation
Benjamin Hawks
,
Jason Weitz
,
Dmitri Demler
,
Karla Tame-Narvaez
,
Dennis Plotnikov
,
Mohammad Mehdi Rahimifar
,
Hamza Ezzaoui Rahali
,
Audrey C. Therrien
,
Donovan Sproule
,
Elham E Khoda
,
Keegan A. Smith
,
Russell Marroquin
,
Giuseppe Di Guglielmo
,
Nhan Tran
,
Javier M. Duarte
,
Vladimir Loncar
CoRR 2025
Readers:
Everyone
Locality-Sensitive Hashing-Based Efficient Point Transformer for Charged Particle Reconstruction
Shitij Govil
,
Jack P. Rodgers
,
Yuan-Tang Chou
,
Siqi Miao
,
Amit Saha
,
Advaith Anand
,
Kilian Lieret
,
Gage DeZoort
,
Mia Liu
,
Javier M. Duarte
,
Pan Li
,
Shih-Chieh Hsu
CoRR 2025
Readers:
Everyone
Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging
Aaron Wang
,
Zihan Zhao
,
Subash Katel
,
Vivekanand Sahu
,
Elham E Khoda
,
Abhijith Gandrakota
,
Jennifer Ngadiuba
,
Richard Cavanaugh
,
Javier M. Duarte
CoRR 2025
Readers:
Everyone
Spatially Aware Linear Transformer (SAL-T) for Efficient Particle Jet Identification
Aaron Wang
,
Zihan Zhao
,
Abhijith Gandrakota
,
Ngadiuba Jennifer
,
Subash Katel
,
Vivekanand Gyanchand Sahu
,
Daniel Primosch
,
Elham E Khoda
,
Richard Cavanaugh
,
Javier Duarte
Submitted to ICLR 2026
Readers:
Everyone
RINO: Renormalization Group Invariance with No Labels
Zichun Hao
,
Raghav Kansal
,
Abhijith Gandrakota
,
Chang Sun
,
Jennifer Ngadiuba
,
Javier M. Duarte
,
Maria Spiropulu
CoRR 2025
Readers:
Everyone
SuperSONIC: Cloud-Native Infrastructure for ML Inferencing
Dmitry Kondratyev
,
Benedikt Riedel
,
Yuan-Tang Chou
,
Miles Cochran-Branson
,
Noah Paladino
,
David Schultz
,
Mia Liu
,
Javier M. Duarte
,
Philip Harris
,
Shih-Chieh Hsu
CoRR 2025
Readers:
Everyone
Building Machine Learning Challenges for Anomaly Detection in Science
Elizabeth G. Campolongo
,
Yuan-Tang Chou
,
Ekaterina Govorkova
,
Wahid Bhimji
,
Wei-Lun Chao
,
Chris Harris
,
Shih-Chieh Hsu
,
Hilmar Lapp
,
Mark S. Neubauer
,
Josephine M. Namayanja
,
Aneesh Subramanian
,
Philip C. Harris
,
Advaith Anand
,
David Edward Carlyn
,
Subhankar Ghosh
,
Christopher G. Lawrence
,
Eric A. Moreno
,
Ryan Raikman
,
Jiaman Wu
,
Ziheng Zhang
et al. (80 additional authors not shown)
CoRR 2025
Readers:
Everyone
Fine-tuning machine-learned particle-flow reconstruction for new detector geometries in future colliders
Farouk Mokhtar
,
Joosep Pata
,
Dolores Garcia
,
Eric Wulff
,
Mengke Zhang
,
Michael Kagan
,
Javier M. Duarte
CoRR 2025
Readers:
Everyone
View all 108 publications
Co-Authors
Aaron Sauers
Aaron Wang
Aashrita Mangu
Abdelrahman Elabd
Abhijay Gupta
Abhijith Gandrakota
Abhishek Anand
Abhishikth Mallampalli Chen-Yu Mao
Abolfazl Hashemi
Adam Aurisano
Aditya Kumar
Adji Bousso Dieng
Adrian Alan Pol
Adrian Bevan
Advaith Anand
Aidan Yokuda
Alessandra Forti
Alessandro Pappalardo
Alexander D. Tapper
Alexander Kurepin
Alexander Michels
Alexander Migala
Alexander Radovic
Alexander Redding
Alexander Shmakov
View all 604 co-authors