Daniel Neil

According to our database1, Daniel Neil authored at least 27 papers between 2014 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2020
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

Attention-driven Multi-sensor Selection.
Proceedings of the International Joint Conference on Neural Networks, 2019

2018
Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs.
CoRR, 2018

PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing.
CoRR, 2018

Multi-channel Attention for End-to-End Speech Recognition.
Proceedings of the Interspeech 2018, 2018

Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design.
Proceedings of the 6th International Conference on Learning Representations, 2018

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator.
Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2018

2017
ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation.
CoRR, 2017

DDD17: End-To-End DAVIS Driving Dataset.
CoRR, 2017

Sensor Transformation Attention Networks.
CoRR, 2017

Live demonstration: Event-driven real-time spoken digit recognition system.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2017

Delta Networks for Optimized Recurrent Network Computation.
Proceedings of the 34th International Conference on Machine Learning, 2017

A curriculum learning method for improved noise robustness in automatic speech recognition.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Precise deep neural network computation on imprecise low-power analog hardware.
CoRR, 2016

Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Effective sensor fusion with event-based sensors and deep network architectures.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Combined frame- and event-based detection and tracking.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Event-driven deep neural network hardware system for sensor fusion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Live demonstration: Event-driven deep neural network hardware system for sensor fusion.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

Steering a predator robot using a mixed frame/event-driven convolutional neural network.
Proceedings of the Second International Conference on Event-based Control, 2016

Temporal sequence recognition in a self-organizing recurrent network.
Proceedings of the Second International Conference on Event-based Control, 2016

2015
Live demonstration: Handwritten digit recognition using spiking deep belief networks on SpiNNaker.
Proceedings of the 2015 IEEE International Symposium on Circuits and Systems, 2015

Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator.
IEEE Trans. Very Large Scale Integr. Syst., 2014


  Loading...