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1:05 PM
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--- Lunch ---
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2:00 PM
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Contributed talks
(until 3:15 PM)
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2:00 PM
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[Remote] Randomized Point Serialization-Based Efficient Point Transformer in High-Energy Physics Applications
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Siqi Miao
(Georgia Tech)
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2:15 PM
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A Streamlined Neural Model for Real-Time Analysis at the First Level of the LHCb Trigger
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Jiahui Zhuo
(Univ. of Valencia and CSIC (ES))
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2:30 PM
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ML4GW: An all-encompassing software framework for real-time deep learning applications to search for gravitational waves
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Will Benoit
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2:45 PM
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SONIC: A Portable framework for as-a-service ML serving
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Dmitry Kondratyev
(Purdue University (US))
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3:00 PM
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Deep(er)RICH: Reconstruction of Imaging CherenkovDetectors with Swin Transformers and Normalizing Flow Models
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James Giroux
(W&M)
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3:15 PM
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Lighting talks
(until 4:25 PM)
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3:15 PM
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Robust and interpretable deep learning by leveraging domain knowledge
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Mirco Hünnefeld
(University of Wisconsin-Madison)
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3:20 PM
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Intelligent experiments through real-time AI: GNN-based trigger pipeline for sPHENIX
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Jovan Mitrevski
(Fermi National Accelerator Lab. (US))
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3:25 PM
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Interpreting and Accelerating Transformers for Jet Tagging
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Aaron Wang
(University of Illinois at Chicago (US))
Vivekanand Gyanchand Sahu
(University of California San Diego)
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3:30 PM
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S-QUARK: A Scalable Quantization-Aware Training Framework for FPGA Deployment based on Keras-v3
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Chang Sun
(California Institute of Technology (US))
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3:35 PM
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Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment
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Jared Burleson
(University of Illinois at Urbana-Champaign)
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3:40 PM
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IceSONIC - Network AI Inference on Coprocessors for IceCube Offline Processing
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Benedikt Riedel
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3:45 PM
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Towards Online Machine Learning in DUNE Data Acquisition
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Andrew Mogan
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3:50 PM
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Fast Simulation of Particle Physics Calorimeters
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Oz Amram
(Fermi National Accelerator Lab. (US))
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3:55 PM
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Real-Time AI-Based Data Selection in LArTPC Experiments Using Accelerated FPGA Platforms
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Akshay Malige
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4:00 PM
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Benchmarking and Interpreting Real-Time Quench Detection Algorithms
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Maira Khan
(Fermi National Accelerator Laboratory)
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4:05 PM
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Real-time Reinforcement Learning on AI Engines with Online Training for Autonomous Accelerators
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Luca Scomparin
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4:10 PM
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AI Red Teaming for Science
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Anita Nikolich
(UIUC)
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4:15 PM
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An Efficient Multiply Accumulate Tree for Real-time Quantized Neural Networks
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Chang Sun
(California Institute of Technology (US))
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4:20 PM
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A gradient-based hardware-aware neural architecture search framework for hls4ml
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ChiJui Chen
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4:25 PM
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Coffee/Posters
(until 5:00 PM)
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5:00 PM
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Contributed talks
(until 6:25 PM)
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5:00 PM
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[Remote] Visualizing Loss Landscapes for Scientific Edge Machine Learning
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Caleb Geniesse
(Lawrence Berkeley National Laboratory)
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5:15 PM
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GWAK: Low-Latency Machine Learning for Real-Time Detection of Unmodeled Gravitational Wave Transients
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Eric Anton Moreno
(Massachusetts Institute of Technology (US))
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5:30 PM
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Realtime Anomaly Detection in the CMS Experiment
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Noah Alexander Zipper
(University of Colorado Boulder (US))
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5:45 PM
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Active Machine Learning for Projection Multi-photon 3D Printing
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Jason Edward Johnson
(Purdue University)
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6:00 PM
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[Remote] Rapid, High-Resolution Coherent Diffractive Imaging with Physics-Informed Machine Learning
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Oliver Hoidn
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6:30 PM
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--- Reception ---
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