default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTheodore L. Willke
Ted Willke
Person information
- affiliation: Intel Labs, OR, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j13]Guixiang Ma
, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. 5(5): 2011-2025 (2024)- [j12]Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere, Mark Hildebrand, Theodore L. Willke:
LeanVec: Searching vectors faster by making them fit. Trans. Mach. Learn. Res. 2024 (2024) - [i35]Le Chen, Nesreen K. Ahmed, Akash Dutta, Arijit Bhattacharjee, Sixing Yu, Quazi Ishtiaque Mahmud, Waqwoya Abebe, Hung Phan, Aishwarya Sarkar, Branden Butler, Niranjan Hasabnis, Gal Oren, Vy A. Vo, Juan Pablo Muñoz, Theodore L. Willke, Tim Mattson, Ali Jannesari:
The Landscape and Challenges of HPC Research and LLMs. CoRR abs/2402.02018 (2024) - [i34]Cecilia Aguerrebere, Mark Hildebrand, Ishwar Singh Bhati, Theodore L. Willke, Mariano Tepper:
Locally-Adaptive Quantization for Streaming Vector Search. CoRR abs/2402.02044 (2024) - [i33]Nadav Schneider, Niranjan Hasabnis, Vy A. Vo, Tal Kadosh, Neva Krien, Mihai Capota, Abdul Wasay, Guy Tamir, Ted Willke, Nesreen K. Ahmed, Yuval Pinter, Timothy G. Mattson, Gal Oren:
MPIrigen: MPI Code Generation through Domain-Specific Language Models. CoRR abs/2402.09126 (2024) - [i32]Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun:
Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR abs/2402.13415 (2024) - [i31]Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Peiyu Zhang, Panagiotis Kyriakis, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan:
A structure-aware framework for learning device placements on computation graphs. CoRR abs/2405.14185 (2024) - 2023
- [j11]Cecilia Aguerrebere, Ishwar Singh Bhati, Mark Hildebrand, Mariano Tepper, Theodore L. Willke:
Similarity search in the blink of an eye with compressed indices. Proc. VLDB Endow. 16(11): 3433-3446 (2023) - [c30]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Augmenting Recurrent Graph Neural Networks with a Cache. KDD 2023: 1608-1619 - [i30]Cecilia Aguerrebere, Ishwar Singh Bhati, Mark Hildebrand, Mariano Tepper, Ted Willke:
Similarity search in the blink of an eye with compressed indices. CoRR abs/2304.04759 (2023) - [i29]Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Scope is all you need: Transforming LLMs for HPC Code. CoRR abs/2308.09440 (2023) - [i28]Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR abs/2312.05657 (2023) - [i27]Tal Kadosh, Niranjan Hasabnis, Vy A. Vo, Nadav Schneider, Neva Krien, Mihai Capota, Abdul Wasay, Nesreen K. Ahmed, Ted Willke, Guy Tamir, Yuval Pinter, Timothy G. Mattson, Gal Oren:
Domain-Specific Code Language Models: Unraveling the Potential for HPC Codes and Tasks. CoRR abs/2312.13322 (2023) - [i26]Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere, Mark Hildebrand, Ted Willke:
LeanVec: Search your vectors faster by making them fit. CoRR abs/2312.16335 (2023) - 2022
- [j10]Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry:
Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. 34(5): 2401-2415 (2022) - [i25]Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan:
End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR abs/2204.11981 (2022) - [i24]Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper:
Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR abs/2205.06926 (2022) - [i23]Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed:
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR abs/2209.10818 (2022) - [i22]Omri Raccah, Phoebe Chen, Theodore L. Willke, David Poeppel, Vy A. Vo:
Memory in humans and deep language models: Linking hypotheses for model augmentation. CoRR abs/2210.01869 (2022) - 2021
- [j9]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35(3): 688-725 (2021) - [c29]Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed:
Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData 2021: 1858-1866 - [c28]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys 2021 - [i21]Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Theodore L. Willke:
Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay. CoRR abs/2105.05944 (2021) - 2020
- [j8]Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman:
BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. 16(1) (2020) - [c27]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO 2020: 242-255 - [c26]Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke:
Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. ICML 2020: 9648-9658 - [i20]Mariano Tepper, Dipanjan Sengupta, Theodore L. Willke:
Procrustean Orthogonal Sparse Hashing. CoRR abs/2006.04847 (2020) - [i19]Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen:
Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks. CoRR abs/2007.10527 (2020) - [i18]Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan:
A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR abs/2010.04414 (2020)
2010 – 2019
- 2019
- [c25]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Deep Graph Similarity Learning for Brain Data Analysis. CIKM 2019: 2743-2751 - [i17]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica:
Deep Reinforcement Learning in System Optimization. CoRR abs/1908.01275 (2019) - [i16]Javier S. Turek, Shailee Jain, Mihai Capota, Alexander G. Huth, Theodore L. Willke:
A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. CoRR abs/1909.00021 (2019) - [i15]Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica:
NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR abs/1909.13639 (2019) - [i14]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu:
Deep Graph Similarity Learning: A Survey. CoRR abs/1912.11615 (2019) - 2018
- [j7]Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman:
A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. NeuroImage 180(Part): 243-252 (2018) - [c24]Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen:
Matrix-normal models for fMRI analysis. AISTATS 2018: 1914-1923 - [c23]Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers. ECCV (8) 2018: 560-574 - [c22]Javier S. Turek, Cameron T. Ellis, Lena J. Skalaban, Nicholas B. Turk-Browne, Theodore L. Willke:
Capturing Shared and Individual Information in fMRI Data. ICASSP 2018: 826-830 - [i13]Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry:
Learning Role-based Graph Embeddings. CoRR abs/1802.02896 (2018) - [i12]Linpeng Tang, Yida Wang, Theodore L. Willke, Kai Li:
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs. CoRR abs/1807.09667 (2018) - [i11]Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers. CoRR abs/1809.03576 (2018) - [i10]Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig:
Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR abs/1809.04195 (2018) - [i9]Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu:
Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR abs/1811.02662 (2018) - 2017
- [j6]Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield, Theodore L. Willke:
Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. 50(3): 689-722 (2017) - [j5]Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke:
Bridging the Gap between HPC and Big Data frameworks. Proc. VLDB Endow. 10(8): 901-912 (2017) - [j4]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. Proc. VLDB Endow. 10(11): 1430-1441 (2017) - [c21]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
A Higher-Order Latent Space Network Model. AAAI Workshops 2017 - [c20]Kayhan Özcimder, Biswadip Dey, Sebastian Musslick, Giovanni Petri, Nesreen K. Ahmed, Theodore L. Willke, Jonathan D. Cohen:
A Formal Approach to Modeling the Cost of Cognitive Control. CogSci 2017 - [c19]Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge:
A semi-supervised method for multi-subject FMRI functional alignment. ICASSP 2017: 1098-1102 - [c18]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Edge Role Discovery via Higher-Order Structures. PAKDD (1) 2017: 291-303 - [c17]Dipanjan Sengupta, Yida Wang, Narayanan Sundaram, Theodore L. Willke:
High-Performance Incremental SVM Learning on Intel® Xeon Phi™ Processors. ISC 2017: 120-138 - [i8]Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi:
On Sampling from Massive Graph Streams. CoRR abs/1703.02625 (2017) - [i7]Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
A Framework for Generalizing Graph-based Representation Learning Methods. CoRR abs/1709.04596 (2017) - [i6]Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry:
Representation Learning in Large Attributed Graphs. CoRR abs/1710.09471 (2017) - [i5]Hejia Zhang, Xia Zhu, Theodore L. Willke:
Segmenting Brain Tumors with Symmetry. CoRR abs/1711.06636 (2017) - 2016
- [c16]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Estimation of local subgraph counts. IEEE BigData 2016: 586-595 - [c15]Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman:
Enabling factor analysis on thousand-subject neuroimaging datasets. IEEE BigData 2016: 1151-1160 - [c14]Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke:
Real-time full correlation matrix analysis of fMRI data. IEEE BigData 2016: 1242-1251 - [c13]Sebastian Musslick, Biswadip Dey, Kayhan Özcimder, Md. Mostofa Ali Patwary, Theodore L. Willke, Jonathan D. Cohen:
Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures. CogSci 2016 - [c12]Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young, Matthew Wolf, Karsten Schwan:
GraphIn: An Online High Performance Incremental Graph Processing Framework. Euro-Par 2016: 319-333 - [c11]Michael J. Anderson, Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Theodore L. Willke, Pradeep Dubey:
GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms. IPDPS 2016: 313-322 - [c10]Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi:
Exact and Estimation of Local Edge-centric Graphlet Counts. BigMine 2016: 1-17 - [i4]Michael J. Anderson, Mihai Capota, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman:
Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets. CoRR abs/1608.04647 (2016) - [i3]Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge:
A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation. CoRR abs/1608.04846 (2016) - [i2]Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge:
A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis. CoRR abs/1609.09432 (2016) - [i1]Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou:
Revisiting Role Discovery in Networks: From Node to Edge Roles. CoRR abs/1610.00844 (2016) - 2015
- [c9]Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke:
Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. SC 2015: 23:1-23:12 - [e1]Josep Lluís Larriba-Pey, Theodore L. Willke:
Proceedings of the Third International Workshop on Graph Data Management Experiences and Systems, GRADES 2015, Melbourne, VIC, Australia, May 31 - June 4, 2015. ACM 2015, ISBN 978-1-4503-3611-6 [contents] - 2014
- [c8]Yong Guo, Marcin Biczak, Ana Lucia Varbanescu, Alexandru Iosup, Claudio Martella, Theodore L. Willke:
How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis. IPDPS 2014: 395-404 - [c7]Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Claudio Martella, Theodore L. Willke:
Benchmarking graph-processing platforms: a vision. ICPE 2014: 289-292 - 2013
- [c6]Guangdeng Liao, Kushal Datta, Theodore L. Willke:
Gunther: Search-Based Auto-Tuning of MapReduce. Euro-Par 2013: 406-419 - [c5]Nezih Yigitbasi, Theodore L. Willke, Guangdeng Liao, Dick H. J. Epema:
Towards Machine Learning-Based Auto-tuning of MapReduce. MASCOTS 2013: 11-20 - [c4]Nilesh Jain, Guangdeng Liao, Theodore L. Willke:
GraphBuilder: scalable graph ETL framework. GRADES 2013: 4
2000 – 2009
- 2009
- [j3]Theodore L. Willke, Patcharinee Tientrakool, Nicholas F. Maxemchuk:
A survey of inter-vehicle communication protocols and their applications. IEEE Commun. Surv. Tutorials 11(2): 3-20 (2009) - 2007
- [j2]Theodore L. Willke, Nicholas F. Maxemchuk:
Coordinated interaction using reliable broadcast in mobile wireless networks. Comput. Networks 51(4): 1052-1059 (2007) - [j1]Nicholas F. Maxemchuk, Patcharinee Tientrakool, Theodore L. Willke:
Reliable Neighborcast. IEEE Trans. Veh. Technol. 56(6): 3278-3288 (2007) - 2005
- [c3]Theodore L. Willke, Nicholas F. Maxemchuk:
Coordinated Interaction Using Reliable Broadcast in Mobile Wireless Networks. NETWORKING 2005: 1168-1179 - 2004
- [c2]Theodore L. Willke, Nicholas F. Maxemchuk:
Reliable Collaborative Decision Making in Mobile Ad Hoc Networks. MMNS 2004: 88-101
1970 – 1979
- 1977
- [c1]Mark B. Triplett, Theodore L. Willke, John D. Waddell:
NUFACTS: A tool for the analysis of nuclear development policies. WSC 1977: 792-798
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-06 20:25 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
