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12:30
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--- Lunch & Exhibition ---
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13:50
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Invited Talks
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Ryan Kastner
(until 15:40)
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13:50
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Introduction to Fast ML for Science
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Javier Mauricio Duarte
(Univ. of California San Diego (US))
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14:05
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Welcome to UCSD
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Rajesh Gupta
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14:10
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From Fast Inference to Intelligent Instruments: AI across the life-cycle of scientific instrumentation
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David Miller
(University of Chicago (US))
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14:40
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Quantum Computing: An Outlook for Platforms and Applications
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Fred Chong
(University of Chicago)
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15:10
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Silicon and Memristive Integrated Neuromorphic Systems for Distributed Parallel AI at Extreme Scale and Efficiency
- Prof.
Gert Cauwenberghs
(UC San Diego)
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15:40
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--- Coffee ---
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16:00
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Contributed Talks
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Giuseppe Di Guglielmo
(Fermilab)
(until 17:30)
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16:00
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Sparse Streaming Neural Decoders for Real-Time Quantum Error Correction
- Mr
Eric Jin
(University of California, Berkeley)
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16:15
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Real-Time Plasma State Estimation via FPGA-Accelerated Quantized Recurrent Probabilistic Neural Networks
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Jose Daniel Gaytan Villarreal
(Carnegie-Mellon University (US))
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16:30
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Fast Accelerator Control from Learned Surrogates
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Andrew Whitbeck
(Fermilab)
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16:45
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Surrogate Models for Real-Time Thermal Runaway Prediction in HTS Magnets
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Maira Khan
(Fermi National Accelerator Laboratory)
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17:00
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Real-Time Axion Dark Matter Signal Detection with a WaveNet Architecture Deployed on FPGA
- Ms
Akbota Assan
(University of California, San Diego)
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17:15
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An Asteroseismic Inversion Framework Using Physics-Informed Neural Networks to Estimate Mixing Length Parameters in Evolved Stellar Grids
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Pritam Singh
(Wichita State University)
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17:30
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Reception & Poster Session
(until 19:00)
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17:30
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A Binary-Weight Transformer for Real-Time Particle Jet Tagging at the LHC
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Kai Yamaguchi
Russell Denilson Marroquin Solares
(Univ. of California San Diego (US))
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17:30
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A Controlled Benchmark for Memory Mechanisms in Efficient-Attention Transformers
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Robert Sneiderman
(Independent)
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17:30
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A Controlled Comparison of FINN and Vitis AI for Small Neural Networks
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Ruthwik Reddy Sunketa
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17:30
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Accelerating Lattice Gauge Simulations with Gauge-Equivariant Graph Neural Networks
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Gia-Wei Chern
(University of Virginia)
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17:30
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An extreme edge ML-based electron/photon trigger for the ATLAS Global Trigger
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Vila Andela Petrovic
(UCL)
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17:30
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Applications of machine learning to classification of cosmic X-ray sources: results and challenges.
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Yichao Lin
(The George Washington University)
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17:30
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Benchmarking BitNet-Style Low-Precision Networks for Fast Jet Classification Toward FPGA Deployment
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Dorian Sloot
(Austrian Academy of Sciences (AT))
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17:30
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Bridging the Gap Between Enterprise Memory-Intensive Workloads and Real-Time Distributed ML Systems: A Scheduling Reality Check
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Atul Garg
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17:30
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CNN-based event classification for first level triggers at HL-LHC
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Jim Brooke
(University of Bristol (GB))
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17:30
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Deploying a Diffusion model on Voyager for cosmological applications
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Javier Hernandez-Nicolau
(San Diego Supercomputer Center)
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17:30
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Design and Implementation of Tiny Real-Time ML for FPGAs with Agentic Workflows
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Qibin Liu
(SLAC National Accelerator Laboratory (US))
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17:30
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Direct Parameter Estimation of Binary Neutron Star Mergers with State Space Models
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Kyungseop Yoon
(Massachusetts Institute of Technology)
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17:30
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End-to-end benchmarking of on-detector data-reduction strategies: from realistic MAPS data to PPA
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Marc DAVID Nichitiu
(Massachusetts Inst. of Technology (US))
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17:30
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Fast machine learning trigger system for real-time event identification for Ba-tagging in a Liquid Xenon TPC
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Melissa Medina Peregrina
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17:30
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Fast turbulent velocity field reconstruction from 2D fusion plasma imaging with convolutional neural networks
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Filipp Khabanov
(University of Wisconsin-Madison)
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17:30
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FlowFI: Dataflow and Quantization Aware Fault Injection for Resilient Accelerators
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Raymond Duenas
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17:30
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FPGA-Accelerated Edge AI for Real-Time Turbulence-Based Plasma Instability Prediction and Control
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Semin Joung
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17:30
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FQTree: Fine-Grained Quantization and Hardware Generation of Boosted Decision Trees
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Zhiqiang Que
(University of Bristol)
Chang Sun
(California Institute of Technology (US))
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17:30
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From Keras 2 to Keras 3: QKerasV3 Integration with the hls4ml FPGA Flow
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Marius Kรถppel
(ETH Zurich (CH))
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17:30
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Generative Cosmological Emulators as Fluid Flows in Data Space
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Sandip Roy
(University of California San Diego)
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17:30
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HACE: A Surrogate-Guided Agent for hls4ml Configuration on Scientific FPGAs
- Mr
Venkata Sai Prathyush Turaga
(Texas Tech University)
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17:30
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Jet Tagger for Real-Time Triggering at the LHC
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Kalib McEuen
(Univ. of Illinois Chicago (US))
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17:30
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Lightweight Transformers for High-Energy Physics Experiments
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Erdem Yigit Ertorer
(Carnegie-Mellon University (US))
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17:30
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Machine Learning-Based Large-R Jet Tagging for the ATLAS Level-0 Global Trigger
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Maryam Bayat Makou
(Southern Methodist University (US))
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17:30
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Machine-Learning-Based Self-Trigger for the COHERENT Cryogenic CsI Detector
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Zepeng Li
(University of Hawaii at Manoa)
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17:30
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Memory-Efficient Activation Checkpointing with Sliding Window and Hirschberg's Algorithm for 0/1 Knapsack Solving in PyTorch
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Jฤdrzej Maczan
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17:30
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ML Classifiers for the search of new post-AGB candidates in all-sky surveys.
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Diego Osvaldo Ochoa de la Cruz
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17:30
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Multi-SG Parameter Estimation for Anomalous Gravitational Wave Signals
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Jack Redepenning
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17:30
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Nereid: an Inference Server for HPC
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Ethan Colbert
(Purdue University (US))
Noah Paladino
(Massachusetts Inst. of Technology (US))
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17:30
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NomAD: Unsupervised Machine Learning for Real-Time Anomaly Detection in the ATLAS Level-1 Trigger
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Isaiah Michael Conway
(WESTMONT COLLEGE DPT OF PHYSICS & ENGINEERING (US))
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17:30
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PermuGini-RF: A Hybrid Feature Selection Model of Permutation and Gini Importance for Mobile Phone Price Classification
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FEMI JOHNSON
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17:30
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PLANT: Conditional Generative Models for Fast Gravitational-Wave Population Synthesis
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Rhea Senthil Kumar
(University of California, San Diego)
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17:30
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Predicting grain-size-aware flow behavior via a physics-informed neural network elasto-viscoplastic model
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Adnan Eghtesad
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17:30
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Proxy-guided DSE for Neural Networks on FPGAs
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Gabriele Trotta
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17:30
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Pruning LUT-Based Neural Network Ensembles for Efficient FPGA Inference
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Sijan Shrestha
(Howard University)
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17:30
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Real-Time Detector Alignment using Machine Learning on AMD AI Engine
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Akshay Malige
(Brookhaven National Laboratory (US))
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17:30
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Real-Time Multi-Messenger Trigger Fusion Using Machine Learning for Sub-Threshold Event Detection
- Ms
Madhushree Naga
(Sri Venkateswara College of Engineering) Mr
Kaamesh Chandrasekaran
(Sri Venkateswara College of Engineering)
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17:30
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Reject or Compress. Event streaming and triggering system using Byte Latent Transformer.
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Leonid Didukh
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17:30
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Residual Geometry as a Diagnostic for Hidden Failure Modes in Fast Language Model Compression
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Jun-Sik Yoo
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17:30
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SNAC-Pack: Surrogate Neural Architecture Codesign Package for Hardware-Aware Machine Learning
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Jason Weitz
(Univ. of California San Diego (US))
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17:30
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SparsePixels++: Scalable Sparse Convolution on FPGAs
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Ho-Fung Tsoi
(University of Pennsylvania)
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17:30
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Sub-100ns On-Probe Spike Sorting via Resource-Constrained FPGA
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Aarav Gaur
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17:30
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SUNet: A Spectral UNet for Axion Dark Matter Signal Denoising
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Akbota Assan
(University of California, San Diego)
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17:30
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TensorFlow-to-ONNX Migration of CMS DeepTau Models for Efficient Inference in CMSSW and SONIC
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Pritam Palit
(Carnegie-Mellon University (US))
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17:30
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The CMS ML-based Data Quality Monitoring Infrastructure
- Dr
Antonio Vagnerini
(University of Nebraska-Lincoln)
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17:30
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To Chop or Not To Chop: the Question for Variational Autoencoders as Anomaly Detectors in High Energy Physics
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Sterre Hoogendoorn
(University of Pennsylvania)
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17:30
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TriggerFlow: A Reproducible End-to-End Framework for Machine LearningโDriven Level-1 Trigger Systems in CMS
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Marius Kรถppel
(ETH Zurich (CH))
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17:30
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TSCC as an AI-for-Science Platform: Enabling Research with LLMs, Agentic Tools, and Campus Cyberinfrastructure
-
Yuwu Chen
(San Diego Supercomputer Center)
Subhashini Sivagnanam
(San Diego Supercomputer Center)
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17:30
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Using Variational Autoencoders to Generate Atmospheric Models for Brown Dwarfs
-
Julia Haynes
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