-
12:35
Electromagnetic Counterpart Identification of Gravitational-wave candidates using deep-learning
-
Deep Chatterjee
(Massachusetts Institute of Technology)
-
12:38
Deep Learning Development and Deployment for Low-Latency Gravitational-Wave Astronomy
-
Will Benoit
-
12:41
Interaction Network Autoencoder in the Level-1 Trigger
-
Sukanya Krishna
(Univ. of California San Diego (US))
-
12:44
Neural encoding of proprioception of the limbs in the mouse primary somatosensory and motor cortices
-
Megan Hope Lipton
-
12:47
Semi-supervised Graph Neural Networks for Pileup Noise Removal
-
Shikun Liu
-
12:50
Sleep Spindle as a Driver of Low Latency, Low Power ML in HLS4ML
-
Xiaohan Liu
-
12:53
Contrastive learning for correction of data/monte-carlo disagreements
-
Simon Rothman
(Massachusetts Inst. of Technology (US))
-
12:56
Deep Learning for the High Granularity Calorimeter L1Trigger
-
Rohan Shenoy
(Univ. of California San Diego (US))
-
12:59
Interaction Network Autoencoders vs Deep Neural Network Autoencoders for Anomaly Detection at the CMS Level One Trigger
-
Andrew Skivington
(University of California-San Diego, Duarte Lab)
-
13:02
ScaleFlow: Scalable High-Level Synthesis for Large Dataflow Applications
-
Hanchen Ye
-
13:05
PyLog: An Algorithm-Centric Python-Based FPGA Programming and Synthesis Flow
-
Jialiang Zhang
-
13:08
Transformer in HLS4ML
-
Zhixing "Ethan" Jiang
(University of Washington (US))
Elham E Khoda
(University of Washington (US))