Daniel Neil

发表

Scalable Energy-Efficient, Low-Latency Implementations of Spiking Deep Belief Networks on SpiNNaker

Shih-Chii Liu, Evangelos Stromatias, Daniel Neil, 2015 .

Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences

Shih-Chii Liu, Daniel Neil, Michael Pfeiffer, 2016, NIPS.

Multi-channel Attention for End-to-End Speech Recognition

Shih-Chii Liu, Stefan Braun, Jithendar Anumula, 2018, INTERSPEECH.

Minitaur, an Event-Driven FPGA-Based Spiking Network Accelerator

Shih-Chii Liu, Daniel Neil, Shih-Chii Liu, 2014, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Interpretable Graph Convolutional Neural Networks for Inference on Noisy Knowledge Graphs pdf

Daniel Neil, Aaron Sim, Amir Saffari, 2018, ArXiv.

Precise deep neural network computation on imprecise low-power analog hardware pdf

Giacomo Indiveri, Shih-Chii Liu, Jonathan Binas, 2016, ArXiv.

Applications of machine learning to diagnosis and treatment of neurodegenerative diseases

Daniel Neil, J. Holbrook, Amir Saffari, 2020, Nature Reviews Neurology.

Exploring Deep Recurrent Models with Reinforcement Learning for Molecule Design

Mohamed Ahmed, Marwin H. S. Segler, Daniel Neil, 2018, ICLR.

Analog electronic deep networks for fast and efficient inference Extended

Shih-Chii Liu, Jonathan Binas, Daniel Neil, 2018 .

Deep Neural Networks and Hardware Systems for Event-driven Data

Daniel Neil, Daniel Neil, 2017 .

DDD17: End-To-End DAVIS Driving Dataset pdf

Tobi Delbrück, Shih-Chii Liu, Jonathan Binas, 2017, ArXiv.

Preclinical validation of therapeutic targets predicted by tensor factorization on heterogeneous graphs

Saee Paliwal, Alex de Giorgio, Daniel Neil, 2020, Scientific Reports.

Real-time classification and sensor fusion with a spiking deep belief network

Tobi Delbruck, Shih-Chii Liu, Daniel Neil, 2013, Front. Neurosci..

Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing

Matthew Cook, Peter U. Diehl, Shih-Chii Liu, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Precise neural network computation with imprecise analog devices.

Shih-Chii Liu, Jonathan Binas, Daniel Neil, 2016, 1606.07786.

ADaPTION: Toolbox and Benchmark for Training Convolutional Neural Networks with Reduced Numerical Precision Weights and Activation pdf

Tobi Delbrück, Giacomo Indiveri, Alessandro Aimar, 2017, ArXiv.

Robustness of spiking Deep Belief Networks to noise and reduced bit precision of neuro-inspired hardware platforms

Steve B. Furber, Shih-Chii Liu, Daniel Neil, 2015, Front. Neurosci..

Feature Representations for Neuromorphic Audio Spike Streams

Tobi Delbruck, Shih-Chii Liu, Jithendar Anumula, 2018, Front. Neurosci..

Learning to be efficient: algorithms for training low-latency, low-compute deep spiking neural networks

Shih-Chii Liu, Daniel Neil, Michael Pfeiffer, 2016, SAC.

Scalable energy-efficient, low-latency implementations of trained spiking Deep Belief Networks on SpiNNaker

Steve B. Furber, Shih-Chii Liu, Francesco Galluppi, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator

Tobi Delbrück, Shih-Chii Liu, Chang Gao, 2018, FPGA.

Combined frame- and event-based detection and tracking

Tobi Delbrück, Shih-Chii Liu, Daniel Neil, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction

Tobi Delbrück, Shih-Chii Liu, Jonathan Binas, 2020, 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC).

A curriculum learning method for improved noise robustness in automatic speech recognition

Shih-Chii Liu, Stefan Braun, Daniel Neil, 2016, 2017 25th European Signal Processing Conference (EUSIPCO).

PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing pdf

T. Martin McGinnity, Tobi Delbrück, Sonya A. Coleman, 2018, ArXiv.

Steering a predator robot using a mixed frame/event-driven convolutional neural network

Tobi Delbrück, Dermot Kerr, Federico Corradi, 2016, 2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP).

Delta Networks for Optimized Recurrent Network Computation pdf

Tobi Delbrück, Shih-Chii Liu, Daniel Neil, 2016, ICML.

Attention-driven Multi-sensor Selection

Stefan Braun, Shih-Chii Liu, Jithendar Anumula, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Sensor Transformation Attention Networks pdf

Shih-Chii Liu, Stefan Braun, Jithendar Anumula, 2017, ArXiv.

Temporal sequence recognition in a self-organizing recurrent network

Tobi Delbrück, Shih-Chii Liu, Daniel Neil, 2016, 2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP).

Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors

Tobi Delbrück, Shih-Chii Liu, Daniel Neil, 2019, 2019 IEEE International Symposium on Circuits and Systems (ISCAS).

Event-driven deep neural network hardware system for sensor fusion

Shih-Chii Liu, Ilya Kiselev, Daniel Neil, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).

Effective sensor fusion with event-based sensors and deep network architectures

Shih-Chii Liu, Daniel Neil, Shih-Chii Liu, 2016, 2016 IEEE International Symposium on Circuits and Systems (ISCAS).