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Clemens JS Schaefer
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- affiliation: University of Notre Dame, IN, USA
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2020 – today
- 2024
- [c6]Clemens J. S. Schaefer, Siddharth Joshi, Shan Li, Raúl Blázquez:
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks. WACV 2024: 8445-8454 - 2023
- [j2]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) - [i10]Clemens JS Schaefer, Elfie Guo, Caitlin Stanton, Xiaofan Zhang, Tom Jablin, Navid Lambert-Shirzad, Jian Li, Chiachen Chou, Siddharth Joshi, Yu Emma Wang:
Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search. CoRR abs/2302.01382 (2023) - [i9]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) - [i8]Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs
NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023) - [i7]Clemens JS Schaefer, Navid Lambert-Shirzad, Xiaofan Zhang, Chiachen Chou, Tom Jablin, Jian Li, Elfie Guo, Caitlin Stanton, Siddharth Joshi, Yu Emma Wang:
Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization. CoRR abs/2306.04879 (2023) - [i6]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) - [i5]Thomas Summe, Clemens JS Schaefer, Siddharth Joshi:
Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs. CoRR abs/2311.16151 (2023) - 2022
- [j1]Weier Wan
A compute-in-memory chip based on resistive random-access memory. Nat. 608(7923): 504-512 (2022) - [i4]Clemens J. S. Schaefer, Siddharth Joshi, Shan Li, Raúl Blázquez:
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks. CoRR abs/2206.07741 (2022) - 2021
- [c5]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 - [i3]Weier Wan, Rajkumar Kubendran, Clemens J. S. Schaefer, Sukru Burc Eryilmaz, Wenqiang Zhang, Dabin Wu, Stephen R. Deiss, Priyanka Raina, He Qian, Bin Gao, Siddharth Joshi, Huaqiang Wu, H.-S. Philip Wong, Gert Cauwenberghs:
Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory. CoRR abs/2108.07879 (2021) - 2020
- [c4]Clemens J. S. Schaefer, Siddharth Joshi:
Quantizing Spiking Neural Networks with Integers. ICONS 2020: 11:1-11:8 - [c3]Clemens J. S. Schaefer, Patrick Faley, Emre O. Neftci, Siddharth Joshi:
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators. ISCAS 2020: 1-5 - [c2]Zephan M. Enciso, Seyed Hadi Mirfarshbafan, Oscar Castañeda, Clemens J. S. Schaefer, Christoph Studer, Siddharth Joshi:
Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison. MWSCAS 2020: 125-128 - [c1]Clemens J. S. Schaefer, Siddharth Joshi:
Memory Organization and Structures for On-Chip Learning in Spiking Neural Networks. MWSCAS 2020: 599-602 - [i2]Clemens J. S. Schaefer, Patrick Faley, Emre O. Neftci, Siddharth Joshi:
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators. CoRR abs/2003.11639 (2020) - [i1]Zephan M. Enciso, Seyed Hadi Mirfarshbafan, Oscar Castañeda, Clemens J. S. Schaefer, Christoph Studer, Siddharth Joshi:
Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison. CoRR abs/2009.07332 (2020)
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