Παρακολούθηση
Chankyu Lee
Chankyu Lee
Research Scientist, NVIDIA
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα purdue.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Enabling Spike-Based Backpropagation for Training Deep Neural Network Architectures
C Lee, SS Sarwar, P Panda, G Srinivasan, K Roy
Frontiers in Neuroscience 14, 2020
524*2020
X-sram: Enabling in-memory boolean computations in cmos static random access memories
A Agrawal, A Jaiswal, C Lee, K Roy
IEEE Transactions on Circuits and Systems I: Regular Papers, 1-14, 2018
3282018
Training deep spiking convolutional neural networks with STDP-based unsupervised pre-training followed by supervised fine-tuning
C Lee, P Panda, G Srinivasan, K Roy
Frontiers in neuroscience 12, 435, 2018
2472018
Spike-FlowNet: Event-based Optical Flow Estimation with Energy-Efficient Hybrid Neural Networks
C Lee, A Kosta, AZ Zhu, K Chaney, K Daniilidis, K Roy
In proceedings of European Conference on Computer Vision (ECCV), 2020, 2020
2062020
Deep spiking convolutional neural network trained with unsupervised spike-timing-dependent plasticity
C Lee, G Srinivasan, P Panda, K Roy
IEEE Transactions on Cognitive and Developmental Systems 11 (3), 384-394, 2018
1722018
A comprehensive analysis on adversarial robustness of spiking neural networks
S Sharmin, P Panda, SS Sarwar, C Lee, W Ponghiran, K Roy
2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019
882019
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
C Lee, R Roy, M Xu, J Raiman, M Shoeybi, B Catanzaro, W Ping
International Conference on Learning Representations, ICLR 2025 (To appear), 2024
662024
Towards understanding the effect of leak in spiking neural networks
C Lee, SS Chowdhury, K Roy
Neurocomputing 464, 83-94, 2021
632021
Fusion-FlowNet: Energy-Efficient Optical Flow Estimation using Sensor Fusion and Deep Fused Spiking-Analog Network Architectures
C Lee, AK Kosta, K Roy
2022 IEEE International Conference on Robotics and Automation (ICRA), 2022
472022
Chatqa: Surpassing gpt-4 on conversational qa and rag
Z Liu, W Ping, R Roy, P Xu, C Lee, M Shoeybi, B Catanzaro
The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024
46*2024
Training Deep Spiking Neural Networks for Energy-Efficient Neuromorphic Computing
G Srinivasan, C Lee, A Sengupta, P Panda, SS Sarwar, K Roy
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
302020
X-CHANGR: Changing Memristive Crossbar Mapping for Mitigating Line-Resistance Induced Accuracy Degradation in Deep Neural Networks
A Agrawal, C Lee, K Roy
arXiv preprint arXiv:1907.00285, 2019
302019
Self-Supervised Optical Flow with Spiking Neural Networks and Event Based Cameras
K Chaney, A Panagopoulou, C Lee, K Roy, K Daniilidis
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
162021
Noise resilient leaky integrate-and-fire neurons based on multi-domain spintronic devices
C Wang, C Lee, K Roy
Scientific Reports 12 (1), 8361, 2022
142022
Exploring Spike-Based Learning for Neuromorphic Computing: Prospects and Perspectives
N Rathi, A Agrawal, C Lee, AK Kosta, K Roy
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 902-907, 2021
142021
MM-Embed: Universal Multimodal Retrieval with Multimodal LLMs
SC Lin, C Lee, M Shoeybi, J Lin, B Catanzaro, W Ping
International Conference on Learning Representations, ICLR 2025 (To appear), 2024
22024
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