PHAT-JeT combines geometric message-passing with hierarchical patch attention to reach state-of-the-art accuracy and background rejection among resource-constrained jet tagging models on four benchmarks.
Fast inference of deep neural networks in FPGAs for particle physics
5 Pith papers cite this work. Polarity classification is still indexing.
verdicts
UNVERDICTED 5representative citing papers
SNAC-Pack automates hardware-aware neural architecture codesign for FPGAs via surrogate-based multi-objective search, QAT/pruning compression, and hls4ml synthesis, yielding compact models with reduced resources on jet classification and qubit readout.
FPGA implementations for full matrix-element workflow on e+e- to mu+mu- and color-algebra kernels on gg to ttbar+X achieve speedups and energy gains over CPU/GPU while preserving numerical accuracy.
SAL-T enhances the linformer with spatially aware kinematic partitioning and convolutions to match full-attention transformer performance on jet tagging while keeping linear complexity and lower latency.
WaveDriver is a laser guide star AO concept whose initial simulations indicate it may be required to meet HWO primary mirror segment stability and low-order wavefront stability requirements.
citing papers explorer
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Patch Hierarchical Attention Transformer for Efficient Particle Jet Tagging
PHAT-JeT combines geometric message-passing with hierarchical patch attention to reach state-of-the-art accuracy and background rejection among resource-constrained jet tagging models on four benchmarks.
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Surrogate Neural Architecture Codesign Package (SNAC-Pack)
SNAC-Pack automates hardware-aware neural architecture codesign for FPGAs via surrogate-based multi-objective search, QAT/pruning compression, and hls4ml synthesis, yielding compact models with reduced resources on jet classification and qubit readout.
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FPGA Acceleration of Matrix-Element Calculations for Monte Carlo Event Generation
FPGA implementations for full matrix-element workflow on e+e- to mu+mu- and color-algebra kernels on gg to ttbar+X achieve speedups and energy gains over CPU/GPU while preserving numerical accuracy.
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Spatially Aware Linear Transformer (SAL-T) for Particle Jet Tagging
SAL-T enhances the linformer with spatially aware kinematic partitioning and convolutions to match full-attention transformer performance on jet tagging while keeping linear complexity and lower latency.
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WaveDriver: a Laser Guide Star AO System for HWO
WaveDriver is a laser guide star AO concept whose initial simulations indicate it may be required to meet HWO primary mirror segment stability and low-order wavefront stability requirements.