Theodore L. Willke

Publication Activity (10 Years)

Years Active: 1977-2024
Publications (10 Years): 61

Top Topics

Graph Embedding

Top Venues

Proc. VLDB Endow.

Publications

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 (2024)
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 (2024)
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)
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) (2024)
Cecilia Aguerrebere, Mark Hildebrand, Ishwar Singh Bhati, Theodore L. Willke, Mariano Tepper
Locally-Adaptive Quantization for Streaming Vector Search. CoRR (2024)
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 (2024)
Cecilia Aguerrebere, Ishwar Bhati, Mark Hildebrand, Mariano Tepper, Theodore L. Willke
Similarity search in the blink of an eye with compressed indices. Proc. VLDB Endow. 16 (11) (2023)
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 (2023)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Augmenting Recurrent Graph Neural Networks with a Cache. KDD (2023)
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 (2022)
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) (2022)
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 (2022)
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 (2022)
Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR (2022)
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)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
Deep graph similarity learning: a survey. Data Min. Knowl. Discov. 35 (3) (2021)
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 (2021)
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)
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 (2020)
Mariano Tepper, Dipanjan Sengupta, Theodore L. Willke
Procrustean Orthogonal Sparse Hashing. CoRR (2020)
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 (2020)
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)
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)
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)
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 (2019)
Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
Deep Graph Similarity Learning: A Survey. CoRR (2019)
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 (2019)
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)
Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica
Deep Reinforcement Learning in System Optimization. CoRR (2019)
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) (2018)
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)
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 (2018)
Linpeng Tang, Yida Wang, Theodore L. Willke, Kai Li
Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs. CoRR (2018)
Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry
Learning Role-based Graph Embeddings. CoRR (2018)
Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen
Matrix-normal models for fMRI analysis. AISTATS (2018)
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 (2018)
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 (2018)
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)
Dipanjan Sengupta, Yida Wang, Narayanan Sundaram, Theodore L. Willke
Xeon Phi™ Processors. ISC (2017)
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)
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) (2017)
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 (2017)
Hejia Zhang, Xia Zhu, Theodore L. Willke
Segmenting Brain Tumors with Symmetry. CoRR (2017)
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 (2017)
Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge
A semi-supervised method for multi-subject FMRI functional alignment. ICASSP (2017)
Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi
On Sampling from Massive Graph Streams. CoRR (2017)
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) (2017)
Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou
Edge Role Discovery via Higher-Order Structures. PAKDD (1) (2017)
Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi
On Sampling from Massive Graph Streams. Proc. VLDB Endow. 10 (11) (2017)
Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou
A Higher-Order Latent Space Network Model. AAAI Workshops (2017)
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 (2016)
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 (2016)
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)
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)
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 (2016)
Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou
Revisiting Role Discovery in Networks: From Node to Edge Roles. CoRR (2016)
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)
Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi
Exact and Estimation of Local Edge-centric Graphlet Counts. BigMine (2016)
Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi
Estimation of local subgraph counts. IEEE BigData (2016)
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)
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)
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)
Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Claudio Martella, Theodore L. Willke
Benchmarking graph-processing platforms: a vision. ICPE (2014)
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)
Nezih Yigitbasi, Theodore L. Willke, Guangdeng Liao, Dick H. J. Epema
Towards Machine Learning-Based Auto-tuning of MapReduce. MASCOTS (2013)
Guangdeng Liao, Kushal Datta, Theodore L. Willke
Gunther: Search-Based Auto-Tuning of MapReduce. Euro-Par (2013)
Nilesh Jain, Guangdeng Liao, Theodore L. Willke
GraphBuilder: scalable graph ETL framework. GRADES (2013)
Theodore L. Willke, Patcharinee Tientrakool, Nicholas F. Maxemchuk
A survey of inter-vehicle communication protocols and their applications. IEEE Commun. Surv. Tutorials 11 (2) (2009)
Theodore L. Willke, Nicholas F. Maxemchuk
Coordinated interaction using reliable broadcast in mobile wireless networks. Comput. Networks 51 (4) (2007)
Nicholas F. Maxemchuk, Patcharinee Tientrakool, Theodore L. Willke
Reliable Neighborcast. IEEE Trans. Veh. Technol. 56 (6) (2007)
Theodore L. Willke, Nicholas F. Maxemchuk
Coordinated Interaction Using Reliable Broadcast in Mobile Wireless Networks. NETWORKING (2005)
Theodore L. Willke, Nicholas F. Maxemchuk
Reliable Collaborative Decision Making in Mobile Ad Hoc Networks. MMNS (2004)
Mark B. Triplett, Theodore L. Willke, John D. Waddell
NUFACTS: A tool for the analysis of nuclear development policies. WSC (1977)