Neil, Daniel

1. Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences
   2016/10/29 by Daniel Neil, Neil, Daniel, Michael Pfeiffer +3 · 17 citations
   Computer Science · #Time Series Analysis and Forecasting #Neural Networks and Reservoir Computing #Neural Networks and Applications
2. DDD17: End-To-End DAVIS Driving Dataset
   2017/11/04 by Jonathan Binas, Daniel Neil, Binas, Jonathan +5 · 11 citations
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences
3. DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
   2020/05/18 by Yuhuang Hu, Hu, Yuhuang, Jonathan Binas +7 · 10 citations
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #CCD and CMOS Imaging Sensors #Computer Vision and Pattern Recognition (cs.CV) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences
4. Steering a Predator Robot using a Mixed Frame/Event-Driven Convolutional\n Neural Network
   2016/06/30 by Diederik Paul Moeys, Moeys, Diederik Paul, Federico Corradi +13 · 2 citations
   Engineering · Neuroscience · #CCD and CMOS Imaging Sensors #Advanced Memory and Neural Computing #Neural dynamics and brain function
5. A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition
   2016/06/22 by Stefan Braun, Braun, Stefan, Daniel Neil +3 · 2 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing #Sound (cs.SD) #Speech Recognition and Synthesis #Speech and Audio Processing
6. Delta Networks for Optimized Recurrent Network Computation
   2016/12/16 by Daniel Neil, Jun Haeng Lee, Neil, Daniel +5 · 2 citations
   Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Music and Audio Processing #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE)
7. Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs
   2018/12/01 by Daniel Neil, Neil, Daniel, Joss Briody +9 · 3 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Graph Neural Networks #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics