Name: A3D3 All-hands meeting
Start: 2024-10-14T08:00:00-04:00
End: 2024-10-14T21:35:00-04:00
Location: Convergence Center @ Purdue University

Accelerating Subglacial Bed Topography Prediction in Greenland: A Performance Evaluation of Spark-Optimized Machine Learning Models (in session "Poster Session / Reception")

Attention at Silicon Speed: Towards Efficient Transformers on FPGAs (in session "Afternoon Plenary")

Autoencoders for Anomaly Detection and Output Reduction on the Edge (AADORE) (in session "Afternoon Plenary")

Channel tagging: identifying events with supernova pointing information (in session "Afternoon Plenary")

Closed-loop Brain Stimulation in NHPs using hardware-accelerated Machine Learning (in session "Afternoon Plenary")

Combining Neural Networks for IceCube DeepCore Reconstruction and Classification Tasks (in session "Afternoon Plenary")

ConNAS4ML: Gradient-Based NAS Framework with Hardware Constraints for hls4ml (in session "Afternoon Plenary")

Decoding multi-limb trajectories of naturalistic running from calcium imaging using deep learning (in session "Poster Session / Reception")

Detecting the Invisible: Electron Hit Localization in High-Resolution TEM Images Using Deep Learning on FPGAs (in session "Poster Session / Reception")

Distribution Shifts in Graph Machine Learning and Graph Domain Adaptation (in session "Morning Plenary")

Dr. Dylan Rankin (in session "Morning Parallels")

Dr. Julia Gonski (in session "Morning Parallels")

Dr. Zhijian Liu (in session "Morning Parallels")

Early-time Classification of Astronomical Transients (in session "Poster Session / Reception")

Efficient Multi-modal LLM on the Edge (in session "Morning Plenary")

Estimating the Hubble Constant by combining posteriors from Multi-Messenger Kilonovae Observations (in session "Poster Session / Reception")

Finding Binary Black Hole Mergers (in session "Poster Session / Reception")

Foundation Model for Real-Time Model Selection and Fitting (in session "Poster Session / Reception")

Implementation of `traccc` as-a-service (in session "Afternoon Plenary")

Improving Sensitivity to Neutron Star Gravitational Wave Events using the Qp Transform (in session "Poster Session / Reception")

Model Logging for FPGA Deployment (in session "Poster Session / Reception")

Multi-messenger Astronomy Observations Via Alert Stream Filtering (in session "Poster Session / Reception")

Neural Architecture Codesign for Fast Physics Applications (in session "Afternoon Plenary")

Noise or Astrophysical: Developing Machine Learning Classifiers for Characterizing Gravitational Wave Events (in session "Poster Session / Reception")

NSF HDR ML Anomaly Detection Challenge (in session "Morning Plenary")

Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment (in session "Poster Session / Reception")

Panel Discusion (in session "Morning Parallels")

Postbac research experience: light from black holes and other multi-messenger astronomy (in session "Afternoon Plenary")

Postbac Research Experience: Multimodal Classification of Astronomical Transients (in session "Afternoon Plenary")

Real-time Anomaly Detection at the CMS L1 Trigger (in session "Afternoon Plenary")

Real-time compression of CMS detector data with machine learning (in session "Poster Session / Reception")

Smart Pixels: A Machine Learning Approach Towards Data Reduction in Next-Generation Particle Detectors (in session "Poster Session / Reception")

Trainee-led: Overview of HAC (in session "Morning Plenary")

Trainee-led: Overview of HEP (in session "Morning Plenary")

Trainee-led: Overview of MMA (in session "Morning Plenary")

Trainee-led: Overview of Neuro (in session "Morning Plenary")

Welcome (in session "Morning Plenary")

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A3D3 All-hands meeting