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Theodore L. Willke
Head of Vector Search, watsonx, International Business Machines
Joined
July 2019
Names
Theodore L. Willke
(Preferred)
,
Ted Willke
Emails
****@intel.com
(Confirmed)
,
****@gmail.com
(Confirmed)
,
****@datastax.com
(Confirmed)
,
****@ibm.com
(Confirmed)
Personal Links
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
Head of Vector Search
watsonx,
International Business Machines
(ibm.com)
2025
–
Present
Head of Vector Search
Engineering,
DataStax
(datastax.com)
2024
–
2025
Senior Principal Engineer
Intel Labs,
Intel Corporation
(intel.com)
1998
–
2024
PhD student
Electrical Engineering,
Columbia University
(columbia.edu)
2001
–
2010
Advisors, Relations & Conflicts
PhD Advisor
Nicholas F. Maxemchuk
2000
–
2010
Expertise
vector search
2020
–
Present
deep learning
2013
–
Present
graph learning
2011
–
Present
parallel and distributed computing
2010
–
Present
Publications
Structural Code Representation Learning for Auto-Vectorization
Yao Xiao
,
Nesreen Ahmed
,
Mihai Capotă
,
Guixiang Ma
,
Theodore L. Willke
,
Shahin Nazarian
,
Paul Bogdan
Published: 01 Feb 2023, Last Modified: 13 Feb 2023
Submitted to ICLR 2023
Readers:
Everyone
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning
Yao Xiao
,
Guixiang Ma
,
Nesreen K. Ahmed
,
Mihai Capota
,
Theodore L. Willke
,
Shahin Nazarian
,
Paul Bogdan
2022 (modified: 26 Aug 2022)
CoRR 2022
Readers:
Everyone
Role-Based Graph Embeddings
Nesreen K. Ahmed
,
Ryan A. Rossi
,
John Boaz Lee
,
Theodore L. Willke
,
Rong Zhou
,
Xiangnan Kong
,
Hoda Eldardiry
2022 (modified: 17 Jan 2023)
IEEE Trans. Knowl. Data Eng. 2022
Readers:
Everyone
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective
Guixiang Ma
,
Vy A. Vo
,
Theodore L. Willke
,
Nesreen K. Ahmed
2022 (modified: 17 Jan 2023)
CoRR 2022
Readers:
Everyone
Memory in humans and deep language models: Linking hypotheses for model augmentation
Omri Raccah
,
Phoebe Chen
,
Theodore L. Willke
,
David Poeppel
,
Vy A. Vo
2022 (modified: 14 Apr 2023)
CoRR 2022
Readers:
Everyone
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay
Hsiang-Yun Sherry Chien
,
Javier S. Turek
,
Nicole Beckage
,
Vy A. Vo
,
Christopher J. Honey
,
Theodore L. Willke
2021 (modified: 16 Dec 2025)
CoRR 2021
Readers:
Everyone
Learning Code Representations Using Multifractal-based Graph Networks
Guixiang Ma
,
Yao Xiao
,
Mihai Capota
,
Theodore L. Willke
,
Shahin Nazarian
,
Paul Bogdan
,
Nesreen K. Ahmed
2021 (modified: 26 Aug 2022)
IEEE BigData 2021
Readers:
Everyone
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems
Guixiang Ma
,
Yao Xiao
,
Theodore L. Willke
,
Nesreen K. Ahmed
,
Shahin Nazarian
,
Paul Bogdan
2021 (modified: 17 Jan 2023)
MLSys 2021
Readers:
Everyone
Deep graph similarity learning: a survey
Guixiang Ma
,
Nesreen K. Ahmed
,
Theodore L. Willke
,
Philip S. Yu
2021 (modified: 17 Jan 2023)
Data Min. Knowl. Discov. 2021
Readers:
Everyone
Neural Algorithms for Graph Navigation
Aaron Zweig
,
Nesreen Ahmed
,
Theodore L. Willke
,
Guixiang Ma
Published: 12 Dec 2020, Last Modified: 05 May 2023
LMCA2020 Oral
Readers:
Everyone
View all 46 publications
Co-Authors
Aaron Zweig
Adam Charles
Alexander G. Huth
Alexander Heinecke
Alexander Huth
Ameer Haj-Ali
Apoorv Vyas
Bharat Kaul
Biswadip Dey
Bryn Keller
Cameron T. Ellis
Christopher J. Honey
David M. Blei
David Poeppel
Dipanjan Sengupta
Dipankar Das
Giovanni Petri
Guixiang Ma
Hejia Zhang
Hoda Eldardiry
Hsiang-Yun Sherry Chien
Ion Stoica
Janice Chen
Javier S. Turek
Jennifer Neville
View all 78 co-authors