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2020 – today
- 2024
[j46]Chang Gao
, Tobi Delbruck, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-Based LSTM Accelerator Exploiting Spatio-Temporal Sparsity. IEEE Trans. Neural Networks Learn. Syst. 35(1): 1098-1112 (2024)- [c125]Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck:
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. AAAI 2024: 11399-11406 - [c124]Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CVPR Workshops 2024: 5810-5825 - [c123]Pehuen Moure, Longbiao Cheng, Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Regularized Parameter Uncertainty for Improving Generalization in Reinforcement Learning. CVPR 2024: 23805-23814 - [c122]Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu:
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. ISCAS 2024: 1-5 - [c121]Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. NICE 2024: 1-10 - [i41]Qinyu Chen, Congyi Sun, Chang Gao, Shih-Chii Liu:
Epilepsy Seizure Detection and Prediction using an Approximate Spiking Convolutional Transformer. CoRR abs/2402.09424 (2024) - [i40]Zuowen Wang, Chang Gao, Zongwei Wu, Marcos V. Conde, Radu Timofte, Shih-Chii Liu, Qinyu Chen, Zhengjun Zha, Wei Zhai, Han Han, Bohao Liao, Yuliang Wu, Zengyu Wan, Zhong Wang, Yang Cao, Ganchao Tan, Jinze Chen, Yan Ru Pei, Sasskia Brüers, Sébastien M. Crouzet, Douglas McLelland, Olivier Coenen, Baoheng Zhang, Yizhao Gao, Jingyuan Li, Hayden Kwok-Hay So, Philippe Bich, Chiara Boretti, Luciano Prono, Mircea Lica, David Dinucu-Jianu, Catalin Grîu, Xiaopeng Lin, Hongwei Ren, Bojun Cheng, Xinan Zhang, Valentin Vial, Anthony Yezzi, James Tsai:
Event-Based Eye Tracking. AIS 2024 Challenge Survey. CoRR abs/2404.11770 (2024) - [i39]Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbrück, Shih-Chii Liu:
A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM. CoRR abs/2405.03905 (2024) - [i38]Joachim Ott, Zuowen Wang, Shih-Chii Liu:
Text-to-Events: Synthetic Event Camera Streams from Conditional Text Input. CoRR abs/2406.03439 (2024) - [i37]Longbiao Cheng, Ashutosh Pandey, Buye Xu, Tobi Delbruck, Shih-Chii Liu:
Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement. CoRR abs/2408.12425 (2024) - [i36]Yuanxi Wang, Zuowen Wang, Shih-Chii Liu:
Leveraging Recurrent Neural Networks for Predicting Motor Movements from Primate Motor Cortex Neural Recordings. CoRR abs/2410.22283 (2024) - 2023
- [j45]Jason K. Eshraghian, Arindam Basu, Corey Lammie, Shih-Chii Liu, Priyadarshini Panda:
Guest Editorial Dynamical Neuro-AI Learning Systems: Devices, Circuits, Architecture and Algorithms. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 873-876 (2023) - [j44]Shu Wang, Meritxell Rovira, Silvia Demuru, Céline Lafaye, Jaemin Kim, Brince Paul Kunnel, Cyril Besson, César Fernández-Sánchez, Francisco Serra-Graells, Josep Maria Margarit-Taulé, Joan Aymerich, Javier Cuenca, Ilya Kiselev, Vincent Gremeaux, Mathieu Saubade, Cecilia Jiménez-Jorquera, Danick Briand, Shih-Chii Liu:
Multisensing Wearables for Real-Time Monitoring of Sweat Electrolyte Biomarkers During Exercise and Analysis on Their Correlation With Core Body Temperature. IEEE Trans. Biomed. Circuits Syst. 17(4): 808-817 (2023) - [c120]Sheng Zhou, Xi Chen, Kwantae Kim, Shih-Chii Liu:
High-Accuracy and Energy-Efficient Acoustic Inference using Hardware-Aware Training and a 0.34nW/Ch Full-Wave Rectifier. AICAS 2023: 1-5 - [c119]Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao:
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. BioCAS 2023: 1-5 - [c118]Hasan Mohamed, Bogdan C. Raducanu, Ilya Kiselev, Zuowen Wang, Burcu Küçükoglu, Bodo Rueckauer, Marcel van Gerven, Carolina Mora Lopez, Shih-Chii Liu:
A 128-channel real-time VPDNN stimulation system for a visual cortical neuroprosthesis. BioCAS 2023: 1-5 - [c117]Joachim Ott, Shih-Chii Liu:
Biologically-Inspired Continual Learning of Human Motion Sequences. ICASSP 2023: 1-5 - [c116]Qinyu Chen, Yaoxing Chang, Kwantae Kim, Chang Gao, Shih-Chii Liu:
An Area-Efficient Ultra-Low-Power Time-Domain Feature Extractor for Edge Keyword Spotting. ISCAS 2023: 1-5 - [c115]Kwantae Kim, Shih-Chii Liu:
A 3.11 μ W 40 n V/ ✓Hz Instrumentation Amplifier for Bio-Impedance Sensors Exploiting Positive-Feedback-Assisted Gain Boosting. ISCAS 2023: 1-5 - [c114]Shu Wang, Meritxell Rovira, Yuhuang Hu, Cecilia Jiménez-Jorquera, Shih-Chii Liu:
End-to-End Prediction of Sodium Concentration from Uncalibrated Sodium ISFETs. ISCAS 2023: 1-5 - [c113]Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu:
Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing. UniReps 2023: 209-222 - [i35]Qinyu Chen, Zuowen Wang, Shih-Chii Liu, Chang Gao:
3ET: Efficient Event-based Eye Tracking using a Change-Based ConvLSTM Network. CoRR abs/2308.11771 (2023) - [i34]Xi Chen, Chang Gao, Zuowen Wang, Longbiao Cheng, Sheng Zhou, Shih-Chii Liu, Tobi Delbruck:
Exploiting Symmetric Temporally Sparse BPTT for Efficient RNN Training. CoRR abs/2312.09391 (2023) - 2022
- [j43]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbruck, Shih-Chii Liu:
A 23-μW Keyword Spotting IC With Ring-Oscillator-Based Time-Domain Feature Extraction. IEEE J. Solid State Circuits 57(11): 3298-3311 (2022) - [j42]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [j41]Ilya Kiselev, Chang Gao, Shih-Chii Liu:
Spiking Cochlea With System-Level Local Automatic Gain Control. IEEE Trans. Circuits Syst. I Regul. Pap. 69(5): 2156-2166 (2022) - [j40]Bodo Rueckauer, Shih-Chii Liu:
Contraction of Dynamically Masked Deep Neural Networks for Efficient Video Processing. IEEE Trans. Circuits Syst. Video Technol. 32(2): 621-633 (2022) - [j39]Shu Wang, Céline Lafaye, Mathieu Saubade, Cyril Besson, Josep Maria Margarit-Taulé, Vincent Gremeaux, Shih-Chii Liu:
Predicting Hydration Status Using Machine Learning Models From Physiological and Sweat Biomarkers During Endurance Exercise: A Single Case Study. IEEE J. Biomed. Health Informatics 26(9): 4725-4732 (2022) - [c112]Johanna Hedlund Lindmar, Chang Gao, Shih-Chii Liu:
Intrinsic Sparse LSTM using Structured Targeted Dropout for Efficient Hardware Inference. AICAS 2022: 126-129 - [c111]Céline Lafaye, Meritxell Rovira, Silvia Demuru, Shu Wang, Jaemin Kim, Brince Paul Kunnel, Cyril Besson, César Fernández-Sánchez, Francisco Serra-Graells, Josep Maria Margarit-Taulé, Joan Aymerich, Javier Cuenca, Ilya Kiselev, Vincent Gremeaux, Mathieu Saubade, Cecilia Jiménez-Jorquera, Danick Briand, Shih-Chii Liu:
Real-time smart multisensing wearable platform for monitoring sweat biomarkers during exercise. BioCAS 2022: 173-177 - [c110]Zuowen Wang, Shu Wang, Céline Lafaye, Mathieu Saubade, Vincent Gremeaux, Shih-Chii Liu:
Person identification using deep neural networks on physiological biomarkers during exercise. BioCAS 2022: 193-197 - [c109]Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing The Consumption Of Spiking Neural Networks With Activity Regularization. ICASSP 2022: 61-65 - [c108]Shu Wang, Yuhuang Hu, Shih-Chii Liu:
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events. ICASSP 2022: 3273-3277 - [c107]Zuowen Wang, Yuhuang Hu, Shih-Chii Liu:
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers. ICIP 2022: 411-415 - [c106]Yuhuang Hu, Shih-Chii Liu:
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks. ICPR 2022: 2192-2198 - [c105]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu:
A 23μW Solar-Powered Keyword-Spotting ASIC with Ring-Oscillator-Based Time-Domain Feature Extraction. ISSCC 2022: 1-3 - [i33]Shu Wang, Yuhuang Hu, Shih-Chii Liu:
T-NGA: Temporal Network Grafting Algorithm for Learning to Process Spiking Audio Sensor Events. CoRR abs/2202.03204 (2022) - [i32]Zuowen Wang, Yuhuang Hu, Shih-Chii Liu:
Exploiting Spatial Sparsity for Event Cameras with Visual Transformers. CoRR abs/2202.05054 (2022) - [i31]Ilya Kiselev, Chang Gao, Shih-Chii Liu:
Spiking Cochlea with System-level Local Automatic Gain Control. CoRR abs/2202.06707 (2022) - [i30]Yuhuang Hu, Shih-Chii Liu:
Kernel Modulation: A Parameter-Efficient Method for Training Convolutional Neural Networks. CoRR abs/2203.15297 (2022) - [i29]Simon Narduzzi, Siavash Arjomand Bigdeli, Shih-Chii Liu, L. Andrea Dunbar:
Optimizing the Consumption of Spiking Neural Networks with Activity Regularization. CoRR abs/2204.01460 (2022) - [i28]Kwantae Kim, Shih-Chii Liu:
Continuous-Time Analog Filters for Audio Edge Intelligence: Review and Analysis on Design Techniques. CoRR abs/2206.02639 (2022) - [i27]Kwantae Kim, Chang Gao, Rui Graça, Ilya Kiselev, Hoi-Jun Yoo, Tobi Delbrück, Shih-Chii Liu:
A 23 μW Keyword Spotting IC with Ring-Oscillator-Based Time-Domain Feature Extraction. CoRR abs/2208.00693 (2022) - [i26]Joachim Ott, Shih-Chii Liu:
Biologically-Inspired Continual Learning of Human Motion Sequences. CoRR abs/2211.05231 (2022) - 2021
- [c104]Xi Chen, Chang Gao, Tobi Delbrück, Shih-Chii Liu:
EILE: Efficient Incremental Learning on the Edge. AICAS 2021: 1-4 - [c103]Yuhuang Hu, Shih-Chii Liu, Tobi Delbrück:
v2e: From Video Frames to Realistic DVS Events. CVPR Workshops 2021: 1312-1321 - [c102]Hao Wang, Hasan Mohamed, Zuowen Wang, Bodo Rueckauer, Shih-Chii Liu:
LiteEdge: Lightweight Semantic Edge Detection Network. ICCVW 2021: 2657-2666 - [c101]Bodo Rueckauer, Shih-Chii Liu:
Temporal Pattern Coding in Deep Spiking Neural Networks. IJCNN 2021: 1-8 - [c100]Qinyu Chen, Bodo Rueckauer, Li Li, Tobi Delbruck, Shih-Chii Liu:
Reducing Latency in a Converted Spiking Video Segmentation Network. ISCAS 2021: 1-5 - [c99]Ilya Kiselev, Shih-Chii Liu:
Event-Driven Local Gain Control on a Spiking Cochlea Sensor. ISCAS 2021: 1-5 - [d1]Yuhuang Hu, Shih-Chii Liu, Tobi Delbruck:
Dataset for Reproduce "v2e: From Video Frames to Realistic DVS Events". Zenodo, 2021
- [i25]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - [i24]Shih-Chii Liu, John Paul Strachan, Arindam Basu:
Prospects for Analog Circuits in Deep Networks. CoRR abs/2106.12444 (2021) - [i23]Chang Gao, Tobi Delbrück, Shih-Chii Liu:
Spartus: A 9.4 TOp/s FPGA-based LSTM Accelerator Exploiting Spatio-temporal Sparsity. CoRR abs/2108.02297 (2021) - 2020
- [j38]Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück:
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 419-432 (2020) - [j37]Iulia-Alexandra Lungu, Alessandro Aimar, Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Siamese Networks for Few-Shot Learning on Edge Embedded Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 10(4): 488-497 (2020) - [j36]Adrian E. G. Huber, Jithendar Anumula, Shih-Chii Liu:
Optimal Sampling of Parametric Families: Implications for Machine Learning. Neural Comput. 32(1): 261-279 (2020) - [j35]Enea Ceolini, Jens Hjortkjær, Daniel D. E. Wong, James O'Sullivan, Vinay S. Raghavan, Jose Herrero, Ashesh D. Mehta, Shih-Chii Liu, Nima Mesgarani:
Brain-informed speech separation (BISS) for enhancement of target speaker in multitalker speech perception. NeuroImage 223: 117282 (2020) - [j34]Enea Ceolini, Ilya Kiselev, Shih-Chii Liu:
Evaluating Multi-Channel Multi-Device Speech Separation Algorithms in the Wild: A Hardware-Software Solution. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1428-1439 (2020) - [c98]Chang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbrück, Shih-Chii Liu:
EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge Inference. AICAS 2020: 41-45 - [c97]Shu Wang, Yuhuang Hu, Javier Burgués, Santiago Marco, Shih-Chii Liu:
Prediction of Gas Concentration Using Gated Recurrent Neural Networks. AICAS 2020: 178-182 - [c96]Iulia-Alexandra Lungu, Yuhuang Hu, Shih-Chii Liu:
Multi-Resolution Siamese Networks for One-Shot Learning. AICAS 2020: 183-187 - [c95]Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Learning to Exploit Multiple Vision Modalities by Using Grafted Networks. ECCV (16) 2020: 85-101 - [c94]Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück:
Recurrent Neural Network Control of a Hybrid Dynamical Transfemoral Prosthesis with EdgeDRNN Accelerator. ICRA 2020: 5460-5466 - [c93]Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas:
Lessons Learned the Hard Way. ISCAS 2020: 1-18 - [c92]Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. ITSC 2020: 1-6 - [i22]Chang Gao, Rachel Gehlhar, Aaron D. Ames, Shih-Chii Liu, Tobi Delbrück:
Recurrent Neural Network Control of a Hybrid Dynamic Transfemoral Prosthesis with EdgeDRNN Accelerator. CoRR abs/2002.03197 (2020) - [i21]Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Exploiting Event Cameras by Using a Network Grafting Algorithm. CoRR abs/2003.10959 (2020) - [i20]Tobi Delbrück, Shih-Chii Liu:
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators. CoRR abs/2003.13006 (2020) - [i19]Yuhuang Hu, Jonathan Binas, Daniel Neil, Shih-Chii Liu, Tobi Delbrück:
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction. CoRR abs/2005.08605 (2020) - [i18]Yuhuang Hu, Shih-Chii Liu, Tobi Delbrück:
V2E: From video frames to realistic DVS event camera streams. CoRR abs/2006.07722 (2020) - [i17]Chang Gao, Antonio Rios-Navarro, Xi Chen, Shih-Chii Liu, Tobi Delbrück:
EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference. CoRR abs/2012.13600 (2020)
2010 – 2019
- 2019
- [j33]Alejandro Linares-Barranco, Fernando Perez-Peña, Diederik Paul Moeys, Francisco Gomez-Rodriguez, Gabriel Jiménez-Moreno, Shih-Chii Liu, Tobi Delbrück:
Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications. IEEE Access 7: 134926-134942 (2019) - [j32]Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück:
Incremental Learning of Hand Symbols Using Event-Based Cameras. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 690-696 (2019) - [j31]Adrian E. G. Huber, Shih-Chii Liu:
Filtering of Nonuniformly Sampled Bandlimited Functions. IEEE Signal Process. Lett. 26(7): 1036-1040 (2019) - [j30]Shih-Chii Liu, Bodo Rueckauer, Enea Ceolini, Adrian E. G. Huber, Tobias Delbrück:
Event-Driven Sensing for Efficient Perception: Vision and audition algorithms. IEEE Signal Process. Mag. 36(6): 29-37 (2019) - [j29]Alessandro Aimar, Hesham Mostafa, Enrico Calabrese, Antonio Rios-Navarro, Ricardo Tapiador-Morales, Iulia-Alexandra Lungu, Moritz B. Milde, Federico Corradi, Alejandro Linares-Barranco, Shih-Chii Liu, Tobi Delbrück:
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of Feature Maps. IEEE Trans. Neural Networks Learn. Syst. 30(3): 644-656 (2019) - [c91]Tobi Delbrück, Shih-Chii Liu:
Data-Driven Neuromorphic DRAM-based CNN and RNN Accelerators. ACSSC 2019: 500-506 - [c90]Iulia-Alexandra Lungu, Shih-Chii Liu, Tobi Delbrück:
Fast event-driven incremental learning of hand symbols. AICAS 2019: 25-28 - [c89]Minhao Yang, Shih-Chii Liu, Mingoo Seok, Christian C. Enz:
Ultra-Low-Power Intelligent Acoustic Sensing using Cochlea-Inspired Feature Extraction and DNN Classification. ASICON 2019: 1-4 - [c88]Yi Luo, Cong Han, Nima Mesgarani, Enea Ceolini, Shih-Chii Liu:
FaSNet: Low-Latency Adaptive Beamforming for Multi-Microphone Audio Processing. ASRU 2019: 260-267 - [c87]Bodo Rueckauer, Shih-Chii Liu:
Linear Approximation of Deep Neural Networks for Efficient Inference on Video Data. EUSIPCO 2019: 1-5 - [c86]Stefan Braun, Shih-Chii Liu:
Parameter Uncertainty for End-to-end Speech Recognition. ICASSP 2019: 5636-5640 - [c85]Enea Ceolini, Jithendar Anumula, Stefan Braun, Shih-Chii Liu:
Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System. ICASSP 2019: 7953-7957 - [c84]Enea Ceolini, Ilya Kiselev, Shih-Chii Liu:
Audio classification systems using deep neural networks and an event-driven auditory sensor. IEEE SENSORS 2019: 1-4 - [c83]Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu:
Attention-driven Multi-sensor Selection. IJCNN 2019: 1-8 - [c82]Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu:
Live Demonstration: Real-Time Spoken Digit Recognition using the DeltaRNN Accelerator. ISCAS 2019: 1 - [c81]Chang Gao, Stefan Braun, Ilya Kiselev, Jithendar Anumula, Tobi Delbrück, Shih-Chii Liu:
Real-Time Speech Recognition for IoT Purpose using a Delta Recurrent Neural Network Accelerator. ISCAS 2019: 1-5 - [c80]Yuhuang Hu, Tobi Delbrück, Shih-Chii Liu:
Incremental Learning Meets Reduced Precision Networks. ISCAS 2019: 1-5 - [c79]Xiaoya Li, Daniel Neil, Tobi Delbrück, Shih-Chii Liu:
Lip Reading Deep Network Exploiting Multi-Modal Spiking Visual and Auditory Sensors. ISCAS 2019: 1-5 - [c78]Josep Maria Margarit-Taulé, Pablo Giménez-Gómez, Roger Escudé-Pujol, Manuel Gutiérrez-Capitán, Cecilia Jiménez-Jorquera, Shih-Chii Liu:
Live Demonstration: A Portable Microsensor Fusion System with Real-Time Measurement for On-Site Beverage Tasting. ISCAS 2019: 1 - [c77]Enea Ceolini, Shih-Chii Liu:
Combining Deep Neural Networks and Beamforming for Real-Time Multi-Channel Speech Enhancement using a Wireless Acoustic Sensor Network. MLSP 2019: 1-6 - [i16]Matthew Thornton, Jithendar Anumula, Shih-Chii Liu:
Reducing state updates via Gaussian-gated LSTMs. CoRR abs/1901.07334 (2019) - [i15]Bodo Rückauer, Nicolas Känzig, Shih-Chii Liu, Tobi Delbrück, Yulia Sandamirskaya:
Closing the Accuracy Gap in an Event-Based Visual Recognition Task. CoRR abs/1906.08859 (2019) - [i14]Yi Luo, Enea Ceolini, Cong Han, Shih-Chii Liu, Nima Mesgarani:
FaSNet: Low-latency Adaptive Beamforming for Multi-microphone Audio Processing. CoRR abs/1909.13387 (2019) - [i13]Tom Conte, Erik DeBenedictis, Natesh Ganesh, Todd Hylton, John Paul Strachan, R. Stanley Williams, Alexander A. Alemi, Lee Altenberg, Gavin E. Crooks, James P. Crutchfield, Lídia del Rio, Josh Deutsch, Michael Robert DeWeese, Khari Douglas, Massimiliano Esposito, Michael P. Frank, Robert Fry, Peter Harsha, Mark D. Hill, Christopher T. Kello, Jeff Krichmar, Suhas Kumar, Shih-Chii Liu, Seth Lloyd, Matteo Marsili, Ilya Nemenman, Alex Nugent, Norman H. Packard, Dana Randall, Peter Sadowski, Narayana Santhanam, Robert Shaw, Adam Z. Stieg, Elan Stopnitzky, Christof Teuscher, Chris Watkins, David H. Wolpert, J. Joshua Yang, Yan Yufik:
Thermodynamic Computing. CoRR abs/1911.01968 (2019) - 2018
- [j28]Chen-Han Chien, Luca Longinotti, Andreas Steimer, Shih-Chii Liu:
Hardware Implementation of an Event-Based Message Passing Graphical Model Network. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(9): 2739-2752 (2018) - [j27]Chen-Han Chien, Shih-Chii Liu, Andreas Steimer:
A Neuromorphic VLSI Circuit for Spike-Based Random Sampling. IEEE Trans. Emerg. Top. Comput. 6(1): 135-144 (2018) - [c76]Chang Gao, Daniel Neil, Enea Ceolini, Shih-Chii Liu, Tobi Delbrück:
DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator. FPGA 2018: 21-30 - [c75]Adrian E. G. Huber, Shih-Chii Liu:
On Approximation of Bandlimited Functions with Compressed Sensing. ICASSP 2018: 4009-4013 - [c74]Stefan Braun, Daniel Neil, Jithendar Anumula, Enea Ceolini, Shih-Chii Liu:
Multi-channel Attention for End-to-End Speech Recognition. INTERSPEECH 2018: 17-21 - [c73]Enea Ceolini, Jithendar Anumula, Adrian E. G. Huber, Ilya Kiselev, Shih-Chii Liu:
Speaker Activity Detection and Minimum Variance Beamforming for Source Separation. INTERSPEECH 2018: 836-840 - [c72]Jithendar Anumula, Enea Ceolini, Zhe He, Adrian E. G. Huber, Shih-Chii Liu:
An event-driven probabilistic model of sound source localization using cochlea spikes. ISCAS 2018: 1-5 - [c71]