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2020 – today
- 2023
[j1]Clemens JS Schaefer
, Pooria Taheri, Mark Horeni, Siddharth Joshi:
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 70(5): 1789-1793 (2023)- [i3]Clemens JS Schaefer, Pooria Taheri, Mark Horeni, Siddharth Joshi:
The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks. CoRR abs/2302.04174 (2023) - [i2]Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi:
Hadamard Domain Training with Integers for Class Incremental Quantized Learning. CoRR abs/2310.03675 (2023) - [i1]Mark Horeni, Siddharth Joshi:
Improvements in Interlayer Pipelining of CNN Accelerators Using Genetic Algorithms. CoRR abs/2311.12235 (2023) - 2022
- [c3]Mark Horeni, Pooria Taheri, Po-An Tsai, Angshuman Parashar, Joel S. Emer, Siddharth Joshi:
Ruby: Improving Hardware Efficiency for Tensor Algebra Accelerators Through Imperfect Factorization. ISPASS 2022: 254-266 - 2021
- [c2]Clemens J. S. Schaefer, Mark Horeni, Pooria Taheri, Siddharth Joshi:
LSTMs for Keyword Spotting with ReRAM-Based Compute-In-Memory Architectures. ISCAS 2021: 1-5
2010 – 2019
- 2018
- [c1]Piotr Szczurek, Mark Horeni:
Using Link Analysis Algorithms to Study the Role of Neurons in the Worm Connectome. AINA 2018: 651-657
Coauthor Index
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