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12:10
|
--- Lunch (self-organized) ---
|
|
13:30
|
Research Subgroup AI Tools and Developments Talks
-
Brian Healy
(until 16:00)
()
|
|
13:30
|
Philip Harris Group (MIT, CMS)
-
William Patrick Mccormack
(Massachusetts Inst. of Technology (US))
()
|
|
13:55
|
Miaoyuan Liu Group (Purdue, CMS)
-
Miaoyuan Liu
(Purdue University (US))
Dmitry Kondratyev
(Purdue University (US))
Jan-Frederik Schulte
(Purdue University (US))
()
|
|
14:20
|
Javier Duarte Group (UCSD, CMS)
-
Javier Mauricio Duarte
(Univ. of California San Diego (US))
Russell Denilson Marroquin Solares
(Univ. of California San Diego (US))
Daniel Diaz
(Univ. of California San Diego (US))
Melissa Quinnan
(Univ. of California San Diego (US))
()
|
|
14:45
|
Shih-Chieh Hsu Group (UW, ATLAS)
-
Elham E Khoda
(University of Washington (US))
()
|
|
15:10
|
Mark Neubauer Group (UIUC, ATLAS)
-
Dewen Zhong
(Univ. Illinois at Urbana Champaign (US))
()
|
|
15:35
|
Kate Scholberg Group (Duke)
-
Janina Hakenmüller
(Duke University)
()
|
|
16:05
|
--- Coffee Break ---
|
|
16:20
|
Research Subgroup AI Tools and Developments Talks
-
Daniel Diaz
(Univ. of California San Diego (US))
(until 18:00)
()
|
|
16:20
|
Scott Hauck Group (UW)
-
Xiaohan Liu
()
|
|
16:45
|
Pan Li Group (Georgia Tech)
-
Shikun Liu
()
|
|
17:10
|
Deming Chen Group (UIUC)
-
Jialiang Zhang
()
|
|
17:35
|
Song Han Group (MIT)
- Dr
Wei-Chen Wang
(MIT)
()
|
|
18:00
|
Working dinner
(until 21:00)
()
|
|
18:00
|
--- Poster Setup/Arrival ---
|
|
19:00
|
A3D3 Equity & Career Activities
-
Janina Hakenmüller
(Duke University)
()
|
|
19:00
|
Accelerating CNNs on FPGAs for Particle Energy Reconstruction
-
Alexander Joseph Schuy
(University of Washington (US))
()
|
|
19:00
|
Accelerating Hadronic Calorimetry with Sparse Point-Voxel Convolutional Neural Networks
-
Alexander Joseph Schuy
(University of Washington (US))
()
|
|
19:00
|
Analog-Domain Implementation of Neural Networks for Energy-Efficient High Energy Physics Applications
-
Dewen Zhong
(Univ. Illinois at Urbana Champaign (US))
()
|
|
19:00
|
Benchmarking HLS4ML vs. SystemVerilog
-
Waiz Khan
()
|
|
19:00
|
Data for Low-Latency Electromagnetic Training
-
Abigail Gray
()
|
|
19:00
|
Decoding Upsampled Limb Trajectories of a Running Mouse from 2-Photon Calcium Imaging Using a Recurrent Neural Network Encoder-Decoder
-
Seungbin Park
()
|
|
19:00
|
Denoising Autoencoder for LArTPC Detectors
-
Van Tha Bik Lian
(Duke University)
()
|
|
19:00
|
Developments in Digital Optical Module Waveform Processing for the IceCube Neutrino Observatory
-
Josh Peterson
()
|
|
19:00
|
Graph Neural Network Triggers for 𝜏 -> 3𝜇 Events at the HL-LHC
-
Benjamin Simon
(Purdue University (US))
()
|
|
19:00
|
Graph Neural Network-based particle tracking as a Service
-
Elham E Khoda
(University of Washington (US))
()
|
|
19:00
|
GWAK: Gravitational-Wave Anomalous Knowledge
-
Eric Anton Moreno
(Massachusetts Institute of Technology (US))
()
|
|
19:00
|
Hyperparameter Tuning for Semi-Supervised Graph Neural Network for Pileup Mitigation
-
Jack Rodgers
()
|
|
19:00
|
Interaction Networks for Anomaly Detection at the CMS Level-1 Trigger
-
Andrew Skivington
(University of California-San Diego, Duarte Lab)
()
|
|
19:00
|
Jet Tagging Algorithm for Long-Lived Particles at the CMS Level-1 Trigger
-
Anthony Vizcaino Aportela
(Univ. of California San Diego (US))
()
|
|
19:00
|
Lyapunov-Guided Embedding for Hyperparameter Selection in Recurrent Neural Networks
-
YANG ZHENG
()
|
|
19:00
|
Machine learning evaluation in the Global Event Processor FPGA for the ATLAS Phase 2 Level 0 trigger upgrade
-
Zhixing "Ethan" Jiang
(University of Washington (US))
Elham E Khoda
(University of Washington (US))
()
|
|
19:00
|
Machine learning for HEP simulations
-
Raghav Kansal
(Univ. of California San Diego (US))
()
|
|
19:00
|
MCUNetV1 & V2: On-Device Inference of Tiny Deep Learning on IoT Devices
- Dr
Wei-Chen Wang
(MIT)
()
|
|
19:00
|
MCUNetV3: On-Device Training Under 256KB Memory
- Dr
Wei-Chen Wang
(MIT)
()
|
|
19:00
|
Multi-block RNN Autoencoders Enable Broadband ECoG Signal Reconstruction
-
JINGYUAN LI
()
|
|
19:00
|
Multi-objective Bayesian Optimization for High-resolution Electron Ptychography
-
Desheng Ma
()
|
|
19:00
|
Parameter Estimation of Unmodeled Burst Gravitational Waves Using Likelihood-free Inference
-
Deep Chatterjee
()
|
|
19:00
|
Pointing to a supernova with the DUNE experiment
-
Janina Hakenmüller
(Duke University)
()
|
|
19:00
|
Predicting Pulsed-Laser Deposition SrTiO3 Homoepitaxy Growth Dynamics using High-Speed Reflection High-Energy Electron Diffraction
-
Yichen Guo
()
|
|
19:00
|
Progress towards an improved particle-flow algorithm at CMS with machine learning
-
Javier Mauricio Duarte
(Univ. of California San Diego (US))
Michael Zhang
()
|
|
19:00
|
PyLog-HLS4ML Integration: Introducing higher level of automatic design in HLS4ML
-
Jialiang Zhang
()
|
|
19:00
|
Real-Time AI for the Particle Flow and PUPPI Algorithm in the CMS Level-1 Trigger Upgrade
-
Noah Paladino
(Massachusetts Inst. of Technology (US))
()
|
|
19:00
|
Real-time Fitting and Materials Characterization in Band-Excitation Piezoresponse Force Microscopy
-
Yael Passy
Veronica Obute
(Drexel University)
()
|
|
19:00
|
Searching Better, Faster: Detecting Binary Black Hole Mergers with Deep Learning Networks
-
Ethan Marx
(MIT)
()
|
|
19:00
|
Self-Supervised Learning for Jet Tagging
-
Zihan Zhao
(Univ. of California San Diego (US))
()
|
|
19:00
|
Sleep Spindle (LFADs) Project Abstract
-
Xiaohan Liu
()
|
|
19:00
|
SpectroGW: A computer vision model for Binary Black Hole merger classification
-
Arif Chu
(University of Washington Seattle)
()
|
|
19:00
|
STNDT: Modeling Neural Population Activity with Spatiotemporal Transformers
-
Trung Le
()
|
|
19:00
|
Structural Re-weighting Improves Graph Domain Adaptation
-
Shikun Liu
()
|
|
19:00
|
Symmetry Informed Autoencoder for Domain Classification of BaTiO3 Brightfield Images
-
Xinqiao Zhang
()
|
|
19:00
|
Testing the Supernova Pointing Resolution of DUNE with ICEBERG
-
Joshua Queen
()
|
|
19:00
|
UNRAVELING GRAVITATIONAL RIPPLES: NEURAL NETWORK CLASSIFICATION
- Mr
Cole Welch
(University of Washington) Mr
Daniel G Fredin
(University of Washington)
()
|
|
19:00
|
Using convex feature selection to improve offline feature decoding
-
Lauren Peterson
(University of Washington)
()
|
