Table of Contents

• NeuronFlow: A Hybrid Neuromorphic - Dataflow Processor Architecture for AI WorkloadsO. Moreira, Amirreza Yousefzadeh, F. Chersi, A. Kapoor, R.-J. Zwartenkot, P. Qiao, G. Cinserin, Mina A. Khoei, M. Lindwer, Jonathan Tapson. 1-5 [doi]
• Soft Error Mitigation for Deep Convolution Neural Network on FPGA AcceleratorsWenshuo Li, Guangjun Ge, Kaiyuan Guo, Xiaoming Chen, Qi Wei, Zhen Gao, Yu Wang 0002, Huazhong Yang. 1-5 [doi]
• Efficient Embedded Deep Neural-Network-based Object Detection Via Joint Quantization and TilingGeorge Plastiras, Shahid Siddiqui, Christos Kyrkou, Theocharis Theocharides. 6-10 [doi]
• Lifetime Enhancement for RRAM-based Computing-In-Memory Engine Considering Aging and Thermal EffectsShuhang Zhang, Grace Li Zhang, Bing Li 0017, Hai Helen Li, Ulf Schlichtmann. 11-15 [doi]
• Uncertainty-based Object Detector for Autonomous Driving Embedded PlatformsJiwoong Choi, Dayoung Chun, Hyuk-Jae Lee, Hyun Kim. 16-20 [doi]
• XNORAM: An Efficient Computing-in-Memory Architecture for Binary Convolutional Neural Networks with Flexible Dataflow MappingShiwei Liu, Haozhe Zhu, Chixiao Chen, Lihua Zhang, C.-J. Richard Shi. 21-25 [doi]
• In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devicesZhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini. 26-30 [doi]
• Smart Logic-in-Memory Architecture For Ultra-Low Power Large Fan-In OperationsTommaso Zanotti, Francesco Maria Puglisi, Paolo Pavan. 31-35 [doi]
• XBAROPT - Enabling Ultra-Pipelined, Novel STT MRAM Based Processing-in-Memory DNN AcceleratorAqeel Anwar, Arijit Raychowdhury, Ryan Hatcher, Titash Rakshit. 36-40 [doi]
• EdgeDRNN: Enabling Low-latency Recurrent Neural Network Edge InferenceChang Gao, Antonio Rios-Navarro, Xi Chen, Tobi Delbrück, Shih-Chii Liu. 41-45 [doi]
• A Pipeline-Based Scheduler for Optimizing Latency of Convolution Neural Network Inference over Heterogeneous Multicore SystemsHsin-I Wu, Da-Yi Guo, Hsu-Hsun Chin, Ren-Song Tsay. 46-49 [doi]
• Neuro-PULP: A Paradigm Shift Towards Fully Programmable Platforms for Neural InterfacesPasquale Davide Schiavone, Davide Rossi, Yan Liu, Simone Benatti, Song Luan, Ian Williams, Luca Benini, Timothy G. Constandinou. 50-54 [doi]
• Distributed Clique-Based Neural Networks for Data Fusion at the EdgeBenoit Larras, Antoine Frappé. 55-58 [doi]
• Retinal Slip Estimation and Object Tracking with an Active Event CameraQingpeng Zhu, Jochen Triesch, Bertram E. Shi. 59-63 [doi]
• Simulating Spiking Neural Networks with Timed Dataflow GraphsLei Pan, François Christophe, Tommi Mikkonen, Zhu Li 0001, Shuvra S. Bhattacharyya. 64-68 [doi]
• Neuromorphic Implementation of a Recurrent Neural Network for EMG ClassificationYongqiang Ma, Elisa Donati, Badong Chen, Pengju Ren, Nanning Zheng, Giacomo Indiveri. 69-73 [doi]
• A Real-Time Retinomorphic Simulator Using a Conductance-Based Discrete Neuronal NetworkSeungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu. 79-83 [doi]
• An error-propagation spiking neural network compatible with neuromorphic processorsMatteo Cartiglia, Germain Haessig, Giacomo Indiveri. 84-88 [doi]
• Neuromorphic Implementation of Spiking Relational Neural Network for Motor ControlJingyue Zhao, Elisa Donati, Giacomo Indiveri. 89-93 [doi]
• Implementation of a tunable spiking neuron for STDP with memristors in FDSOI 28nmLuis A. Camuñas-Mesa, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona. 94-98 [doi]
• A 35x10 Charge-Trap Synaptic Memory for 57xMatrix RecognitionEun-Je Park, Jong Moon Choi, Do-Wan Kwon, Je-Joong Woo, Kee-Won Kwon. 99-102 [doi]
• A Bio-Inspired Model of Sound Source Localization on Neuromorphic HardwareTimo Oess, Maximilian P. R. Löhr, Christian Jarvers, Daniel Schmid, Heiko Neumann. 103-107 [doi]
• Exploiting Event Cameras for Spatio-Temporal Prediction of Fast-Changing TrajectoriesMarco Monforte, Ander Arriandiaga, Arren Glover, Chiara Bartolozzi. 108-112 [doi]
• Complex Neuron Dynamics on the IBM TrueNorth Neurosynaptic SystemMaximilian P. R. Löhr, Christian Jarvers, Heiko Neumann. 113-117 [doi]
• Accelerated Simulation of a Neuronal Population via Mathematical Model Order ReductionMikko Lehtimäki, Ippa Seppälä, Lassi Paunonen, Marja-Leena Linne. 118-122 [doi]
• A Digital Multiplier-less Neuromorphic Model for Learning a Context-Dependent TaskHajar Asgari, Babak Mazloom-Nezhad Maybodi, Raphaela Kreiser, Yulia Sandamirskaya. 123-127 [doi]
• Live Demonstration: On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic ProcessorKenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci. 128 [doi]
• Wearable DPM System with Intelligent Imager and GPULeo Miyashita, Masatoshi Ishikawa. 129-130 [doi]
• Live Demonstration: Video-to-Spike Conversion Using a Real-Time Retina Cell Network SimulatorSeungbum Baek, Jason Kamran Eshraghian, Wesley Thio, Yulia Sandamirskaya, Herbert H. C. Iu, Wei D. Lu. 131 [doi]
• Event-Based Attention and Tracking on Neuromorphic HardwareAlpha Renner, Matthew Evanusa, Garrick Orchard, Yulia Sandamirskaya. 132 [doi]
• A Real-Time Robot-Arm Surgical Guiding System Development by Image-TrackingChing-Hwa Cheng. 133 [doi]
• High-Speed, Real-Time, Spike-Based Object Tracking and Path Prediction on Google Edge TPUJonah Sengupta, Rajkumar Kubendran, Emre Neftci, Andreas G. Andreou. 134-135 [doi]
• Low Power In-Memory Implementation of Ternary Neural Networks with Resistive RAM-Based SynapseAxel Laborieux, Marc Bocquet, Tifenn Hirtzlin, J.-O. Klein, L. Herrera Diez, E. Nowak, Elisa Vianello, Jean Michel Portal, Damien Querlioz. 136-140 [doi]
• Deep Neural Network Mapping and Performance Analysis on Tiled RRAM ArchitectureXinxin Wang, Qiwen Wang, Fan-Hsuan Meng, Seung Hwan Lee, Wei D. Lu. 141-144 [doi]
• Fully-Integrated Spiking Neural Network Using SiOx-Based RRAM as Synaptic DeviceAmir Regev, Alessandro Bricalli, Giuseppe Piccolboni, Alexandre Valentian, Thomas Mesquida, Gabriel Molas, Jean-François Nodin. 145-148 [doi]
• Accelerating Deep Neural Networks with Analog Memory DevicesStefano Ambrogio, Pritish Narayanan, Hsinyu Tsai, Charles Mackin, Katherine Spoon, An Chen, Andrea Fasoli, Alexander Friz, Geoffrey W. Burr. 149-152 [doi]
• Convolutional-Recurrent Neural Networks on Low-Power Wearable Platforms for Cardiac Arrhythmia DetectionAntonino Faraone, Ricard Delgado-Gonzalo. 153-157 [doi]
• Low-power ECG acquisition by Compressed Sensing with Deep Neural OraclesMauro Mangia, Alex Marchioni, Luciano Prono, Fabio Pareschi, Riccardo Rovatti, Gianluca Setti. 158-162 [doi]
• Binary Models for Motor-Imagery Brain-Computer Interfaces: Sparse Random Projection and Binarized SVMMichael Hersche, Luca Benini, Abbas Rahimi. 163-167 [doi]
• A SiPM-Based Directional Gamma-Ray Spectrometer With Embedded Machine LearningLuca Buonanno, Davide Di Vita, Adriano Minerva, Marco Carminati, Carlo Fiorini. 168-172 [doi]
• Multi-stage Attention Convolutional Neural Networks for HEVC In-Loop FilteringPeng-Ren Lai, Jia-Shung Wang. 173-177 [doi]
• Prediction of Gas Concentration Using Gated Recurrent Neural NetworksShu Wang, Yuhuang Hu, Javier Burgués, Santiago Marco, Shih-Chii Liu. 178-182 [doi]
• Multi-Resolution Siamese Networks for One-Shot LearningIulia-Alexandra Lungu, Yuhuang Hu, Shih-Chii Liu. 183-187 [doi]
• Online Extreme Learning Machine Design for the Application of Federated LearningYi-Ta Chen, Yu-Chuan Chuang, An-Yeu Andy Wu. 188-192 [doi]
• Real-time Super Resolution CNN Accelerator with Constant Kernel Size Winograd ConvolutionPo-Wei Yen, Yu-sheng Lin, Chia-Yang Chang, Shao-Yi Chien. 193-197 [doi]
• A Coarse-Grained Dual-Convolver Based CNN Accelerator with High Computing Resource UtilizationYi Lu, Yi-Lin Wu, Juinn-Dar Huang. 198-202 [doi]
• A 1.15-TOPS 6.57-TOPS/W DNN Processor for Multi-Scale Object DetectionReiya Kawamoto, Masakazu Taichi, Masaya Kabuto, Daisuke Watanabe, Shintaro Izumi, Masahiko Yoshimoto, Hiroshi Kawaguchi. 203-207 [doi]
• Learning to Walk: Spike Based Reinforcement Learning for Hexapod Robot Central Pattern GenerationAshwin Sanjay Lele, Yan Fang, Justin Ting, Arijit Raychowdhury. 208-212 [doi]
• Tunneling-based CMOS Floating Gate Synapse for Low Power Spike Timing Dependent PlasticityMichele Mastella, Fabio Toso, Giuseppe Sciortino, Enrico Prati, Giorgio Ferrari. 213-217 [doi]
• Error-triggered Three-Factor Learning Dynamics for Crossbar ArraysMelika Payvand, Mohammed E. Fouda, Fadi J. Kurdahi, Ahmed M. Eltawil, Emre O. Neftci. 218-222 [doi]
• On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic ProcessorKenneth Stewart, Garrick Orchard, Sumit Bam Shrestha, Emre Neftci. 223-227 [doi]
• Temporal Variability Analysis in sEMG Hand Grasp Recognition using Temporal Convolutional NetworksMarcello Zanghieri, Simone Benatti, Francesco Conti 0001, Alessio Burrello, Luca Benini. 228-232 [doi]
• EAST: Encoding-Aware Sparse Training for Deep Memory Compression of ConvNetsMatteo Grimaldi, Valentino Peluso, Andrea Calimera. 233-237 [doi]
• Fault-Tolerant-Driven Clustering for Large Scale Neuromorphic Computing SystemsYuting Wu, Bo Ding, Qi Xu, Song Chen 0001. 238-242 [doi]
• Using Libraries of Approximate Circuits in Design of Hardware Accelerators of Deep Neural NetworksVojtech Mrazek, Lukás Sekanina, Zdenek Vasícek. 243-247 [doi]
• Tradeoff between Parallel Efficiency and Coding Efficiency of HEVC: A Load Balancing Solution with Convolutional Neural NetworksJiun-Wei Yang, Peng-Ren Lai, Pin-Chieh Fu, Jia-Shung Wang. 248-250 [doi]
• Memory Efficient Training using Lookup-Table-based Quantization for Neural NetworkKazuki Onishi, Jaehoon Yu, Masanori Hashimoto. 251-255 [doi]
• SpArNet: Sparse Asynchronous Neural Network execution for energy efficient inferenceMina A. Khoei, Amirreza Yousefzadeh, Arash Pourtaherian, Orlando Moreira, Jonathan Tapson. 256-260 [doi]
• TentacleNet: A Pseudo-Ensemble Template for Accurate Binary Convolutional Neural NetworksLuca Mocerino, Andrea Calimera. 261-265 [doi]
• An End-to-End Deep Learning Approach for Epileptic Seizure PredictionYankun Xu, Jie Yang, Shiqi Zhao, Hemmings Wu, Mohamad Sawan. 266-270 [doi]
• Layerwise Noise Maximisation to Train Low-Energy Deep Neural NetworksSébastien Henwood, François Leduc-Primeau, Yvon Savaria. 271-275 [doi]
• Improving the Robustness of Threshold-Based Single Hidden Layer Neural Networks via RegularizationEdoardo Ragusa, Christian Gianoglio, Rodolfo Zunino, Paolo Gastaldo. 276-280 [doi]
• Evolvable Hyperdimensional Computing: Unsupervised Regeneration of Associative Memory to Recover Faulty ComponentsMichael Hersche, Sara Sangalli, Luca Benini, Abbas Rahimi. 281-285 [doi]
• Temperature Compensation Schemes for In-Memory Computing using Phase-Change MemoryIason Giannopoulos, Manuel Le Gallo, Vara Prasad Jonnalagadda, Evangelos Eleftheriou, Abu Sebastian. 286-290 [doi]
• Low-Power HWAccelerator for AI Edge-Computing in Human Activity Recognition SystemsAntonio De Vita, Danilo Pau, Claudio Parrella, Luigi Di Benedetto, Alfredo Rubino, Gian Domenico Licciardo. 291-295 [doi]
• Effect of Process Variations in Digital Pixel Circuits on the Accuracy of DNN based Smart SensorMinah Lee, Mandovi Mukherjee, Priyabrata Saha, Mohammad Faisal Amir, Taesik Na, Saibal Mukhopadhyay. 296-300 [doi]
• Real-Time SLAM Based on Image Stitching for Autonomous Navigation of UAVs in GNSS-Denied RegionsMostafa Rizk, Ahmad Mroue, Mohammad Farran, Jamal Charara. 301-304 [doi]
• An Architectural Study for Inference Coprocessor Core at the Edge in IoT SensingDaisuke Watanabe, Yuji Yano, Shintaro Izumi, Hiroshi Kawaguchi, Kiyoshi Takeuchi, Toshiro Hiramoto, Shoichi Iwai, Masami Murakata, Masahiko Yoshimoto. 305-309 [doi]
• Zero Block Caching for CNN Applications Running on a Vision DSPSangheon Lee, Wontae Kim, Hyuk-Jae Lee, Kyujoong Lee. 310-314 [doi]
• Exploiting Variable Precision Computation Array for Scalable Neural Network AcceleratorsShaofei Yang, Longjun Liu, Baoting Li, Hongbin Sun 0001, Nanning Zheng. 315-319 [doi]
• Energy-Efficient Accelerator Design with 3D-SRAM and Hierarchical Interconnection Architecture for Compact Sparse CNNsChin-Yang Lo, Po-Tsang Huang, Wei Hwang. 320-323 [doi]
• Hardware Feasibility Analysis of Spatial Propagation AlgorithmsChun-Tse Lin, Shao-Yi Chien. 324 [doi]