追蹤
Saurabh Dash
Saurabh Dash
在 gatech.edu 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Aya 23: Open Weight Releases to Further Multilingual Progress
V Aryabumi, J Dang, D Talupuru, S Dash, D Cairuz, H Lin, B Venkitesh, ...
Arxiv preprint, 2024
382024
PhICNet: Physics-Incorporated Convolutional Recurrent Neural Networks for Modeling Dynamical Systems
P Saha, S Dash, S Mukhopadhyay
arXiv preprint arXiv:2004.06243, 2020
37*2020
Sequence approximation using feedforward spiking neural network for spatiotemporal learning: Theory and optimization methods
X She, S Dash, S Mukhopadhyay
International Conference on Learning Representations, 2021
292021
Intriguing Properties of Quantization at Scale
A Ahmadian*, S Dash*, H Chen*, B Venkitesh, S Gou, P Blunsom, ...
Advances in Neural Information Processing Systems, 2023
282023
A heterogeneous spiking neural network for unsupervised learning of spatiotemporal patterns
X She, S Dash, D Kim, S Mukhopadhyay
Frontiers in Neuroscience 14, 615756, 2021
232021
Robust processing-in-memory with multibit ReRAM using Hessian-driven mixed-precision computation
S Dash, Y Luo, A Lu, S Yu, S Mukhopadhyay
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2021
192021
Hessian-driven unequal protection of dnn parameters for robust inference
S Dash, S Mukhopadhyay
Proceedings of the 39th International Conference on Computer-Aided Design, 1-9, 2020
112020
Characterization of drain current variations in fefets for pim-based dnn accelerators
NE Miller, Z Wang, S Dash, AI Khan, S Mukhopadhyay
2021 IEEE 3rd International Conference on Artificial Intelligence Circuits …, 2021
102021
Low power implantable spike sorting scheme based on neuromorphic classifier with supervised training engine
R Pathak, S Dash, AK Mukhopadhyay, A Basu, M Sharad
2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 266-271, 2017
102017
Associative memory augmented asynchronous spatiotemporal representation learning for event-based perception
U Kamal*, S Dash*, S Mukhopadhyay
The Eleventh International Conference on Learning Representations, 2022
62022
Learning point processes using recurrent graph network
S Dash, X She, S Mukhopadhyay
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
62022
Reliable edge intelligence in unreliable environment
M Lee, X She, B Chakraborty, S Dash, B Mudassar, S Mukhopadhyay
2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 896-901, 2021
62021
Unsupervised hebbian learning on point sets in starcraft ii
B Kang, H Kumar, S Dash, S Mukhopadhyay
2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022
52022
Low cost autonomous navigation and control of a mechanically balanced bicycle with dual locomotion mode
A Pandey, S Mahajan, A Kosta, D Yadav, V Pandey, S Sahay, S Jha, ...
2015 IEEE International Transportation Electrification Conference (ITEC), 1-10, 2015
52015
A flexible precision multi-format in-memory vector matrix multiplication engine in 65 nm cmos with rf machine learning support
M Mukherjee, Y Long, J Woo, D Kim, NM Rahman, S Dash, ...
IEEE Solid-State Circuits Letters 3, 450-453, 2020
32020
How Does Quantization Affect Multilingual LLMs?
K Marchisio, S Dash, H Chen, D Aumiller, A Üstün, S Hooker, S Ruder
arXiv preprint arXiv:2407.03211, 2024
22024
Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs
D Paglieri, S Dash, T Rocktäschel, J Parker-Holder
arXiv preprint arXiv:2405.20835, 2024
22024
Brain-Inspired Spatiotemporal Processing Algorithms for Efficient Event-Based Perception
B Chakraborty, U Kamal, X She, S Dash, S Mukhopadhyay
2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1-6, 2023
22023
Impact of HKMG and FDSOI FeFET drain current variation in processing-in-memory architectures
NE Miller, Z Wang, S Dash, AI Khan, S Mukhopadhyay
Journal of Materials Research 36, 4379-4393, 2021
2021
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