Papers
Papers
Accelerating CNNs on FPGAs for Particle Energy Reconstruction
Papers
Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml
Publications | Papers
Improved particle-flow event reconstruction with scalable neural networks for current and future particle detectors
Publications | Papers
ScaleHLS, a Scalable High-level Synthesis Framework with Multi-level Transformations and Optimizations
Publications | Papers
AutoScaleDSE: A Scalable Design Space Exploration Engine for High-Level Synthesis
Publications | Papers
GWAK: Gravitational-Wave Anomalous Knowledge with Recurrent Autoencoders
Publications | Papers
SUREL+: Moving from Walks to Sets for Scalable Subgraph-based Graph Representation Learning
Publications | Papers
Structural Re-weighting Improves Graph Domain Adaptation
Publications | Papers
Progress towards an improved particle flow algorithm at CMS with machine learning, 2023, ACAT
Papers
Semi-supervised Graph Neural Networks for Pileup Noise Removal, 2022, NeurIPS AI4Science, EPJC
Publications | Papers
Interpretable Geometric Deep Learning via Learnable Randomness Injection, 2023, ICLR
Papers
Neighborhood-aware Scalable Temporal Network Representation Learning, 2022, LoG
Papers
Algorithm and System Co-design for Efficient Subgraph-based Graph Representation Learning, 2022, VLDB
Publications | Papers
TorchSparse++: Efficient Point Cloud Engine
Papers
NMMA: A nuclear-physics and multi-messenger astrophysics framework to analyze binary neutron star mergers, 2023, submitted
Papers
Interpretable and Generalizable Graph Learning via Stochastic Attention Mechanism, 2022, ICML
Papers
Applications and Techniques for Fast Machine Learning in Science, 2021, Submitted to Front. Big Data
Papers
PointAcc: Efficient Point Cloud Accelerator, 2021, MICRO
Papers
ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation, 2022, HPCA
Papers
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution, 2020, ECCV
Papers
Point-Voxel CNN for Efficient 3D Deep Learning, 2019, NeurIPS (Spotlight)
