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Clemens JS Schaefer
Software Engineer, Google
Joined
April 2021
Names
Clemens JS Schaefer
(Preferred)
,
Clemens J.S. Schaefer
,
Clemens J. S. Schaefer
Emails
****@nd.edu
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@google.com
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
LinkedIn
Career & Education History
Software Engineer
Google
(google.com)
2023
–
Present
PhD student
University of Notre Dame
(nd.edu)
2018
–
2023
Advisors, Relations & Conflicts
Coauthor
Emma Yu Wang
2022
–
2023
PhD Advisor
Siddharth Joshi
2018
–
2023
Coauthor
Shan Li
2021
–
2022
Coauthor
Raul Blazquez
2021
–
2022
Expertise
Quantization
2018
–
2023
Spiking Neural Networks
2018
–
2023
Publications
EQuARX: Efficient Quantized AllReduce in XLA for Distributed Machine Learning Acceleration
Ibrahim Ahmed
,
Clemens JS Schaefer
,
Gil Tabak
,
Zenong Zhang
,
Felix Chern
,
Anatoliy Yevtushenko
,
Andy Davis
MLArchSys 2025 Oral
Readers:
Everyone
Profile-Guided Quantization: a compiler solution to automate quantization for efficient LLM training
Gil Tabak
,
Clemens JS Schaefer
,
Xiaofan Zhang
,
Denali Molitor
,
Jinliang Wei
,
Zongwei Zhou
,
Philip G Hendrix
,
Mitchelle Rasquinha
MLArchSys 2025 Oral
Readers:
Everyone
GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance
Jinuk Kim
,
Marwa El Halabi
,
Wonpyo Park
,
Clemens JS Schaefer
,
Deokjae Lee
,
Yeonhong Park
,
Jae W. Lee
,
Hyun Oh Song
ICML 2025 poster
Readers:
Everyone
Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs
Thomas Manuel Summe
,
Clemens JS Schaefer
,
Siddharth Joshi
Submitted to ICLR 2024
Readers:
Everyone
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
Submitted to ICLR 2024
Readers:
Everyone
Edge Inference with Fully Differentiable Quantized Mixed Precision Neural Networks
Clemens J. S. Schaefer
,
Siddharth Joshi
,
Shan Li
,
Raúl Blázquez
Published: 01 Jan 2022, Last Modified: 12 May 2023
CoRR 2022
Readers:
Everyone
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
Published: 01 Jan 2022, Last Modified: 12 May 2023
Nat. 2022
Readers:
Everyone
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
Published: 01 Jan 2021, Last Modified: 12 May 2023
CoRR 2021
Readers:
Everyone
LSTMs for Keyword Spotting with ReRAM-Based Compute-In-Memory Architectures
Clemens J. S. Schaefer
,
Mark Horeni
,
Pooria Taheri
,
Siddharth Joshi
Published: 01 Jan 2021, Last Modified: 12 May 2023
ISCAS 2021
Readers:
Everyone
Memory Organization for Energy-Efficient Learning and Inference in Digital Neuromorphic Accelerators
Clemens J. S. Schaefer
,
Patrick Faley
,
Emre O. Neftci
,
Siddharth Joshi
Published: 01 Jan 2020, Last Modified: 12 May 2023
ISCAS 2020
Readers:
Everyone
View all 15 publications
Co-Authors
Anatoliy Yevtushenko
Andy Davis
Bin Gao
Christoph Studer
Dabin Wu
Denali Molitor
Deokjae Lee
Emre O. Neftci
Felix Chern
Gert Cauwenberghs
Gil Tabak
H.-S. Philip Wong
He Qian
Huaqiang Wu
Hyun Oh Song
Ibrahim Ahmed
Jae W. Lee
Jayden Parker Vap
Jinliang Wei
Jinuk Kim
Juan Ye
Mark Horeni
Mark James Horeni
Martin Schiemer
Marwa El Halabi
View all 48 co-authors