Clemens JS Schaefer

According to our database, Clemens JS Schaefer authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks.

Clemens J. S. Schaefer, Siddharth Joshi, Shan Li, Raúl Blázquez

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs.

Thomas M. Summe, Clemens JS Schaefer, Siddharth Joshi

Proceedings of the International Conference on Neuromorphic Systems, 2024

2023

The Hardware Impact of Quantization and Pruning for Weights in Spiking Neural Networks.

Clemens JS Schaefer, Pooria Taheri, Mark Horeni, Siddharth Joshi

IEEE Trans. Circuits Syst. II Express Briefs, May, 2023

Hadamard Domain Training with Integers for Class Incremental Quantized Learning.

Martin Schiemer, Clemens JS Schaefer, Jayden Parker Vap, Mark James Horeni, Yu Emma Wang, Juan Ye, Siddharth Joshi

CoRR, 2023

Augmenting Hessians with Inter-Layer Dependencies for Mixed-Precision Post-Training Quantization.

Clemens JS Schaefer, Navid Lambert-Shirzad, Xiaofan Zhang, Chiachen Chou, Tom Jablin, Jian Li, Elfie Guo, Caitlin Stanton, Siddharth Joshi, Yu Emma Wang

CoRR, 2023

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking.

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, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi

CoRR, 2023

Mixed Precision Post Training Quantization of Neural Networks with Sensitivity Guided Search.

Clemens JS Schaefer, Elfie Guo, Caitlin Stanton, Xiaofan Zhang, Tom Jablin, Navid Lambert-Shirzad, Jian Li, Chiachen Chou, Siddharth Joshi, Yu Emma Wang

CoRR, 2023

2022

A compute-in-memory chip based on resistive random-access memory.

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

Nat., 2022

2021

Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory.

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

CoRR, 2021

LSTMs for Keyword Spotting with ReRAM-Based Compute-In-Memory Architectures.

Clemens J. S. Schaefer, Mark Horeni, Pooria Taheri, Siddharth Joshi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

2020

Memory Organization and Structures for On-Chip Learning in Spiking Neural Networks.

Clemens J. S. Schaefer, Siddharth Joshi

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Analog vs. Digital Spatial Transforms: A Throughput, Power, and Area Comparison.

Zephan M. Enciso, Seyed Hadi Mirfarshbafan, Oscar Castañeda, Clemens J. S. Schaefer, Christoph Studer, Siddharth Joshi

Proceedings of the 63rd IEEE International Midwest Symposium on Circuits and Systems, 2020

Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators.

Clemens J. S. Schaefer, Patrick Faley, Emre O. Neftci, Siddharth Joshi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Quantizing Spiking Neural Networks with Integers.

Clemens J. S. Schaefer, Siddharth Joshi

Proceedings of the International Conference on Neuromorphic Systems, 2020