Fast Machine Learning for Science Conference 2024

from Tuesday 15 October 2024 (08:00) to Friday 18 October 2024 (21:00)
Purdue University (Steward Center 306 (Third floor))

        : Sessions
    /     : Talks
        : Breaks
15 Oct 2024
16 Oct 2024
17 Oct 2024
18 Oct 2024
AM
08:15 --- Registration ---
09:00 Welcome   (Steward Center 306 (Third floor))
09:10
Invited talks (until 10:55) (Steward Center 306 (Third floor))
09:10 [Remote] Opening Talk - Javier Mauricio Duarte (Univ. of California San Diego (US))   (Steward Center 306 (Third floor))
09:45 Fast Machine Learning at the LHC - Dylan Sheldon Rankin (University of Pennsylvania (US))   (Steward Center 306 (Third floor))
10:20 Enabling real-time detection, characterization and inference for the time-domain sky - Gautham Narayan (UIUC)   (Steward Center 306 (Third floor))
10:55
Coffee/Posters (until 11:20) (Stewart Center 302 (Third floor))
11:20
Invited talks (until 13:05) (Steward Center 306 (Third floor))
11:20 [Remote] Machine learning and electronic structure calculation in materials and beyond - Kieron Burke   (Steward Center 306 (Third floor))
11:55 ML for Accelerator control and design - Daniel Ratner (SLAC)   (Steward Center 306 (Third floor))
12:30 Topological diagnostics of ML and AI algorithms - David Gleich (Purdue)   (Steward Center 306 (Third floor))
09:00
Invited talks (until 10:45) (Steward Center 306 (Third floor))
09:00 (fast) Machine Learning Applications for Neuroscience - Jai Yu (U Chicago)   (Steward Center 306 (Third floor))
09:35 [Remote] Efficient Deep Learning with Sparsity - Zhijian Liu (UCSD)   (Steward Center 306 (Third floor))
10:10 AI’s Energy Challenge and four A’s to address it - Anand Raghunathan (Purdue University)   (Steward Center 306 (Third floor))
10:45
Coffee/Posters (until 11:10) (Stewart Center 302 (Third floor))
11:10
Invited talks (until 12:20) (Steward Center 306 (Third floor))
11:10 Deep Learning Complexity in Neuromorphic Quantum Materials - Erica Carlson   (Steward Center 306 (Third floor))
11:45 [Remote] P-bits (quantum-inspired probabilistic computing) - Supriyo Datta (Purdue University)   (Steward Center 306 (Third floor))
09:00
Invited talks (until 10:45) (Steward Center 306 (Third floor))
09:00 Agile Hardware Development: Architecture and Tools - Callie Hao   (Steward Center 306 (Third floor))
09:35 LLMs for chip design - Siddharth Garg   (Steward Center 306 (Third floor))
10:10 Industry talk: AMD - Abhishek Jain   (Steward Center 306 (Third floor))
10:45
Coffee/Posters (until 11:10) (Stewart Center 302 (Third floor))
11:10
Invited talks (until 12:20) (Steward Center 306 (Third floor))
11:10 AI and ML at the future Electron Ion Collider - Cristiano Fanelli (William & Mary)   (Steward Center 306 (Third floor))
11:45 Real-time ML-FPGA filter for particle identification and tracking in nuclear physics - Sergey Furletov (Jefferson lab)   (Steward Center 306 (Third floor))
09:00
HLS4ML tutorial - Jan-Frederik Schulte (Purdue University (US)) (until 11:00) (Room 105)
09:00
SONIC tutorial - Yuan-Tang Chou (University of Washington (US)) (until 10:00) (BHEE 234)
10:00
ECE Distinguished Lecture: Optics à la mode – a new way of making, using and understanding optics (until 11:00) (MSEE 112)
10:00
Next Generation Triggers (until 12:00) (PHYS 390)
10:00 NGT From CMS (L1 Trigger) - Jennifer Ngadiuba (FNAL)   (PHYS 390)
10:20 NGT From CMS(HLT) - Marco Rovere (CERN)   (PHYS 390)
10:40 NGT From ATLAS - Markus Elsing (CERN)   (PHYS 390)
11:20 Discussion   (PHYS 390)
10:00 SONIC developer meeting - Yuan-Tang Chou (University of Washington (US)) (until 11:00) (BHEE 234)
11:00
HDR ML challenge hand-on session - Yuan-Tang Chou (University of Washington (US)) (until 12:00) (Room 105, Lambert Fieldhouse)
PM
13:05 --- Lunch ---
14:00
Contributed talks (until 15:15) (Steward Center 306 (Third floor))
14:00 [Remote] Randomized Point Serialization-Based Efficient Point Transformer in High-Energy Physics Applications - Siqi Miao (Georgia Tech)   (Steward Center 306 (Third floor))
14:15 A Streamlined Neural Model for Real-Time Analysis at the First Level of the LHCb Trigger - Jiahui Zhuo (Univ. of Valencia and CSIC (ES))   (Steward Center 306 (Third floor))
14:30 ML4GW: An all-encompassing software framework for real-time deep learning applications to search for gravitational waves - Will Benoit   (Steward Center 306 (Third floor))
14:45 SONIC: A Portable framework for as-a-service ML serving - Dmitry Kondratyev (Purdue University (US))   (Steward Center 306 (Third floor))
15:00 Deep(er)RICH: Reconstruction of Imaging CherenkovDetectors with Swin Transformers and Normalizing Flow Models - James Giroux (W&M)   (Steward Center 306 (Third floor))
15:15
Lighting talks (until 16:25) (Steward Center 306 (Third floor))
15:15 Robust and interpretable deep learning by leveraging domain knowledge - Mirco Hünnefeld (University of Wisconsin-Madison)   (Steward Center 306 (Third floor))
15:20 Intelligent experiments through real-time AI: GNN-based trigger pipeline for sPHENIX - Jovan Mitrevski (Fermi National Accelerator Lab. (US))   (Steward Center 306 (Third floor))
15:25 Interpreting and Accelerating Transformers for Jet Tagging - Aaron Wang (University of Illinois at Chicago (US)) Vivekanand Gyanchand Sahu (University of California San Diego)   (Steward Center 306 (Third floor))
15:30 S-QUARK: A Scalable Quantization-Aware Training Framework for FPGA Deployment based on Keras-v3 - Chang Sun (California Institute of Technology (US))   (Steward Center 306 (Third floor))
15:35 Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment - Jared Burleson (University of Illinois at Urbana-Champaign)   (Steward Center 306 (Third floor))
15:40 IceSONIC - Network AI Inference on Coprocessors for IceCube Offline Processing - Benedikt Riedel   (Steward Center 306 (Third floor))
15:45 Towards Online Machine Learning in DUNE Data Acquisition - Andrew Mogan   (Steward Center 306 (Third floor))
15:50 Fast Simulation of Particle Physics Calorimeters - Oz Amram (Fermi National Accelerator Lab. (US))   (Steward Center 306 (Third floor))
15:55 Real-Time AI-Based Data Selection in LArTPC Experiments Using Accelerated FPGA Platforms - Akshay Malige   (Steward Center 306 (Third floor))
16:00 Benchmarking and Interpreting Real-Time Quench Detection Algorithms - Maira Khan (Fermi National Accelerator Laboratory)   (Steward Center 306 (Third floor))
16:05 Real-time Reinforcement Learning on AI Engines with Online Training for Autonomous Accelerators - Luca Scomparin   (Steward Center 306 (Third floor))
16:10 AI Red Teaming for Science - Anita Nikolich (UIUC)   (Steward Center 306 (Third floor))
16:15 An Efficient Multiply Accumulate Tree for Real-time Quantized Neural Networks - Chang Sun (California Institute of Technology (US))   (Steward Center 306 (Third floor))
16:20 A gradient-based hardware-aware neural architecture search framework for hls4ml - ChiJui Chen   (Steward Center 306 (Third floor))
16:25
Coffee/Posters (until 17:00) (Stewart Center 302 (Third floor))
17:00
Contributed talks (until 18:25) (Steward Center 306 (Third floor))
17:00 [Remote] Visualizing Loss Landscapes for Scientific Edge Machine Learning - Caleb Geniesse (Lawrence Berkeley National Laboratory)   (Steward Center 306 (Third floor))
17:15 GWAK: Low-Latency Machine Learning for Real-Time Detection of Unmodeled Gravitational Wave Transients - Eric Anton Moreno (Massachusetts Institute of Technology (US))   (Steward Center 306 (Third floor))
17:30 Realtime Anomaly Detection in the CMS Experiment - Noah Alexander Zipper (University of Colorado Boulder (US))   (Steward Center 306 (Third floor))
17:45 Active Machine Learning for Projection Multi-photon 3D Printing - Mr Jason Edward Johnson (Purdue University)   (Steward Center 306 (Third floor))
18:00 [Remote] Rapid, High-Resolution Coherent Diffractive Imaging with Physics-Informed Machine Learning - Oliver Hoidn   (Steward Center 306 (Third floor))
18:30 --- Reception ---
12:20
Contributed talks (until 12:45) (Steward Center 306 (Third floor))
12:45 --- Lunch ---
14:00
Invited talks (until 15:10) (Steward Center 306 (Third floor))
14:00 Tools, Methodologies, and Co-design Principles for Building Microelectronics Artifacts for ML - Seda Ogrenci (Northwestern University)   (Steward Center 306 (Third floor))
14:35 [Remote] ML for material science - Sergei Kalilin   (Steward Center 306 (Third floor))
15:10
Lighting talks (until 16:15) (Steward Center 306 (Third floor))
15:10 Model-Independent Real-Time Anomaly Detection at CMS with CICADA - Lino Oscar Gerlach (Princeton University (US))   (Steward Center 306 (Third floor))
15:15 Unsupervised Learning Methods of Real-Time Anomaly Detection for Data Selection and Detector Monitoring in Liquid Argon Time Projection Chambers - Jack Henry Cleeve (Columbia University)   (Steward Center 306 (Third floor))
15:20 An open platform for in-situ high-speed computer vision with hls4ml - Ryan Forelli (Northwestern University)   (Steward Center 306 (Third floor))
15:25 PearNets for Pearson Correlated Latent Optimization of Nanophotonic Devices - Michael Tan Bezick   (Steward Center 306 (Third floor))
15:30 EnsembleLUT: Scaling up LUT-based Neural Networks with Ensemble Learning - Olivia Weng   (Steward Center 306 (Third floor))
15:35 An Efficient and Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks - Hoin Jung (Purdue University)   (Steward Center 306 (Third floor))
15:40 wa-hls4ml: A benchmark and dataset for ML accelerator resource estimation - Ben Hawks (Fermi National Accelerator Lab)   (Steward Center 306 (Third floor))
15:45 Neural Architecture Codesign for Fast Physics Applications - Dmitri Demler   (Steward Center 306 (Third floor))
15:50 Comprehensive Analysis of UNet Variants in Cardiac Image Segmentation - Niharika Das (G H Raisoni University)   (Steward Center 306 (Third floor))
15:55 Edge SpAIce: Enabling On-Board Data Compression With Machine Learning On FPGAs - Nicolò Ghielmetti (CERN)   (Steward Center 306 (Third floor))
16:15
Coffee/Posters (until 16:45) (Stewart Center 302 (Third floor))
16:45
Contributed talks (until 18:20) (Steward Center 306 (Third floor))
16:45 Fast Data, Faster Science: Connecting Instruments to Real-Time AI Compute - Denis Leshchev   (Steward Center 306 (Third floor))
17:00 An end-to-end ML-enabled platform for precision neuroscience - Emadeldeen Hamdan (University of Illinois Chicago)   (Steward Center 306 (Third floor))
17:15 Artificial Brains for Artificial Intelligence: A Novel Neurophysically Inspired Neural Network - Lorenzo Cacciapuoti   (Steward Center 306 (Third floor))
17:30 Smart Pixels: Towards radiation hard ASIC with on-chip machine learning in 28nm CMOS - Ms Jieun Yoo (UIC)   (Steward Center 306 (Third floor))
17:45 Bit-Width Optimization of Power-Efficient Hardware Accelerators for Neural Networks using Catapult AI NN - Marzieh Vaez Torshizi (Siemens EDA)   (Steward Center 306 (Third floor))
18:00 End-to-end workflow for ML-based qubit readout with QICK + hls4ml - Botao Du (Purdue University)   (Steward Center 306 (Third floor))
12:20 --- Lunch ---
13:10
Contributed talks (until 15:20) (Steward Center 306 (Third floor))
13:10 rule4ml: An Open-Source Tool for Resource Utilization and Latency Estimation for ML Models on FPGA - Hamza Ezzaoui Rahali (University of Sherbrooke)   (Steward Center 306 (Third floor))
13:25 Large Neural Network Partitionning for Distributed Inference on FPGAs - Charles-Étienne Granger (Université de Sherbrooke)   (Steward Center 306 (Third floor))
13:40 Accelerating Reproducible FPGA Machine Learning Research With a Workflow Management Framework - Alexis Shuping (Northwestern University)   (Steward Center 306 (Third floor))
13:55 Differentiable Weightless Neural Networks - Alan T. L. Bacellar (University of Texas at Austin)   (Steward Center 306 (Third floor))
14:10 [Remote] Machine Learning Inference on FPGAs Using HLS4ML with oneAPI Backend - Haoyan Wang (Intel Corporation)   (Steward Center 306 (Third floor))
14:30 [Remote] BRAM-Aware Quantization for Efficient Transformer Inference via Tile-based Architecture on a FPGA - Ling-Chi Yang (Institute of Electronics in National Yang Ming Chiao Tung University)   (Steward Center 306 (Third floor))
14:45 Episodic reinforcement learning for 0νββ decay signal discrimination - Sonata Simonaitis-boyd   (Steward Center 306 (Third floor))
15:00 Towards a machine learning trigger for high-purity germanium spectrometers - Janina Dorin Hakenmueller (Duke University)   (Steward Center 306 (Third floor))
15:20
Coffee/Posters (until 15:30) (Stewart Center 302 (Third floor))
15:30 Physics Colloquium [No remote participation] - Philip Coleman Harris (Massachusetts Inst. of Technology (US))   (PHYS 112)
17:00 HLS4ML developer's meeting   (PHYS 390)
18:30 --- Conference Dinner ---
12:00 --- lunch ---
13:45
Awards and Closeout (until 14:30) ()
13:45 Poster awards   ()
13:50 Closeout talk - Sasha Boltasseva (Purdue University)   ()
15:00
Fast ML not-for-profit chat (until 17:00) (390)