Nhan Tran

Orcid: 0000-0001-6265-231X

According to our database1, Nhan Tran authored at least 68 papers between 2003 and 2024.

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Bibliography

2024
Corrigendum: Applications and techniques for fast machine learning in science.
Frontiers Big Data, 2024

Architectural Implications of Neural Network Inference for High Data-Rate, Low-Latency Scientific Applications.
CoRR, 2024

Robust Anomaly Detection for Particle Physics Using Multi-Background Representation Learning.
CoRR, 2024


2023
Differentiable Earth mover's distance for data compression at the high-luminosity LHC.
Mach. Learn. Sci. Technol., December, 2023

Accelerating Machine Learning Inference with GPUs in ProtoDUNE Data Processing.
Comput. Softw. Big Sci., December, 2023

Best of Both Worlds? Combining Different Forms of Mixed Reality Deictic Gestures.
ACM Trans. Hum. Robot Interact., 2023

Beyond PID Controllers: PPO with Neuralized PID Policy for Proton Beam Intensity Control in Mu2e.
CoRR, 2023

Neural Architecture Codesign for Fast Bragg Peak Analysis.
CoRR, 2023

Low latency optical-based mode tracking with machine learning deployed on FPGAs on a tokamak.
CoRR, 2023

End-to-end codesign of Hessian-aware quantized neural networks for FPGAs and ASICs.
CoRR, 2023

A 3D Implementation of Convolutional Neural Network for Fast Inference.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

On-Sensor Data Filtering using Neuromorphic Computing for High Energy Physics Experiments.
Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

Structural Re-weighting Improves Graph Domain Adaptation.
Proceedings of the International Conference on Machine Learning, 2023

Now Look Here! Đownarrow Mixed Reality Improves Robot Communication Without Cognitive Overload.
Proceedings of the Virtual, Augmented and Mixed Reality, 2023

2022
<i>AIgean</i>: An Open Framework for Deploying Machine Learning on Heterogeneous Clusters.
ACM Trans. Reconfigurable Technol. Syst., 2022

Applications and Techniques for Fast Machine Learning in Science.
Frontiers Big Data, 2022

Neural network accelerator for quantum control.
CoRR, 2022

FastML Science Benchmarks: Accelerating Real-Time Scientific Edge Machine Learning.
CoRR, 2022

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark.
CoRR, 2022

QONNX: Representing Arbitrary-Precision Quantized Neural Networks.
CoRR, 2022

Physics Community Needs, Tools, and Resources for Machine Learning.
CoRR, 2022

2021
Compressing deep neural networks on FPGAs to binary and ternary precision with hls4ml.
Mach. Learn. Sci. Technol., 2021

GPU coprocessors as a service for deep learning inference in high energy physics.
Mach. Learn. Sci. Technol., 2021

Fast convolutional neural networks on FPGAs with hls4ml.
Mach. Learn. Sci. Technol., 2021

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference.
Frontiers Artif. Intell., 2021

Applications and Techniques for Fast Machine Learning in Science.
CoRR, 2021

MLPerf Tiny Benchmark.
CoRR, 2021

A reconfigurable neural network ASIC for detector front-end data compression at the HL-LHC.
CoRR, 2021

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices.
CoRR, 2021

Fast convolutional neural networks on FPGAs with hls4ml.
CoRR, 2021

Robot-Generated Mixed Reality Gestures Improve Human-Robot Interaction.
Proceedings of the Social Robotics - 13th International Conference, 2021


Get This!? Mixed Reality Improves Robot Communication Regardless of Mental Workload.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

What's The Point?: Tradeoffs Between Effectiveness and Social Perception When Using Mixed Reality to Enhance Gesturally Limited Robots.
Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020
GPU-Accelerated Machine Learning Inference as a Service for Computing in Neutrino Experiments.
Frontiers Big Data, 2020

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.
Frontiers Big Data, 2020

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs.
CoRR, 2020

GPU coprocessors as a service for deep learning inference in high energy physics.
CoRR, 2020

Fast inference of Boosted Decision Trees in FPGAs for particle physics.
CoRR, 2020

FPGAs-as-a-Service Toolkit (FaaST).
Proceedings of the 2020 IEEE/ACM International Workshop on Heterogeneous High-performance Reconfigurable Computing, 2020

Adapting Mixed Reality Robot Communication to Mental Workload.
Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction, 2020

Using Augmented Reality to Better Study Human-Robot Interaction.
Proceedings of the Virtual, Augmented and Mixed Reality. Design and Interaction, 2020

AIgean: An Open Framework for Machine Learning on Heterogeneous Clusters.
Proceedings of the 28th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2020

2019
FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing.
Comput. Softw. Big Sci., December, 2019

Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan".
CoRR, 2019

Algorithms and Statistical Models for Scientific Discovery in the Petabyte Era.
CoRR, 2019

Improving Long Handwritten Text Line Recognition with Convolutional Multi-way Associative Memory.
CoRR, 2019

Mixed Reality Deictic Gesture for Multi-Modal Robot Communication.
Proceedings of the 14th ACM/IEEE International Conference on Human-Robot Interaction, 2019

Investigating the Potential Effectiveness of Allocentric Mixed Reality Deictic Gesture.
Proceedings of the Virtual, Augmented and Mixed Reality. Applications and Case Studies, 2019

Fast Inference of Deep Neural Networks for Real-time Particle Physics Applications.
Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

2018
Fast inference of deep neural networks in FPGAs for particle physics.
CoRR, 2018

Augmented, Mixed, and Virtual Reality Enabling of Robot Deixis.
Proceedings of the Virtual, Augmented and Mixed Reality: Interaction, Navigation, Visualization, Embodiment, and Simulation, 2018

2017
Applications of potential theoretic mother bodies in Electrostatics.
CoRR, 2017

Big Data in HEP: A comprehensive use case study.
CoRR, 2017

Computational Public Safety: The Evolution to Public Safety Research.
Proceedings of the Advances in Network-Based Information Systems, 2017

A content addressable memory with multi-Vdd scheme for low power tunable operation.
Proceedings of the IEEE 60th International Midwest Symposium on Circuits and Systems, 2017

2015
A methodology for power characterization of associative memories.
Proceedings of the 33rd IEEE International Conference on Computer Design, 2015

2014
A Complete 256-Electrode Retinal Prosthesis Chip.
IEEE J. Solid State Circuits, 2014

2013
A flexible biphasic pulse generating and accurate charge balancing stimulator with a 1μW neural recording amplifier.
Proceedings of the 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013

A charge-balanced 4-wire interface for the interconnections of biomedical implants.
Proceedings of the 2013 IEEE Biomedical Circuits and Systems Conference (BioCAS), Rotterdam, The Netherlands, October 31, 2013

2012
Crosstalk current measurements using multi-electrode arrays in saline.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

A precise charge balancing and compliance voltage monitoring stimulator front-end for 1024-electrodes retinal prosthesis.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2011
A prototype 64-electrode stimulator in 65 nm CMOS process towards a high density epi-retinal prosthesis.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2008
Modeling privacy compromise: visibility of individuals via DRM and RFID in ubiquitous computing.
Proceedings of the 2008 Spring Simulation Multiconference, 2008

2007
WiFi repeater deployment for improved communication in confined-space urban disaster search.
Proceedings of the 2nd IEEE International Conference on System of Systems Engineering, 2007

2004
A knowledge based approach for representing and reasoning about signaling networks.
Proceedings of the Proceedings Twelfth International Conference on Intelligent Systems for Molecular Biology/Third European Conference on Computational Biology 2004, 2004

2003
Representing and reasoning about signal networks: an illustration using NF\kappaB dependent signaling pathways.
Proceedings of the 2nd IEEE Computer Society Bioinformatics Conference, 2003


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