Theodore L. Willke

80 papers A* 4A 7B 5C 1Misc 3Journal 45Unranked 14

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AutoParLLM: GNN-guided Context Generation for Zero-Shot Code Parallelization using LLMs. NAACL (Long Papers) Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Hung D. Phan, Le Chen, Mihai Capota, Theodore L. Willke, Nesreen K. Ahmed, Ali Jannesari
2025	A	`conf`	ConTraPh: Contrastive Learning for Parallelization and Performance Optimization. ICS Quazi Ishtiaque Mahmud, Ali TehraniJamsaz, Nesreen K. Ahmed, Theodore L. Willke, Ali Jannesari
2024	A*	`conf`	A Structure-Aware Framework for Learning Device Placements on Computation Graphs. NeurIPS Shukai Duan, Heng Ping, Nikos Kanakaris, Xiongye Xiao, Panagiotis Kyriakis, Nesreen K. Ahmed, Peiyu Zhang, Guixiang Ma, Mihai Capota, Shahin Nazarian, Theodore L. Willke, Paul Bogdan
2024	J	`jnl`	A structure-aware framework for learning device placements on computation graphs. CoRR 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
2024	J	`jnl`	GraSS: Graph-based Similarity Search on Encrypted Query. IACR Cryptol. ePrint Arch. Duhyeong Kim, Yujin Nam, Wen Wang, Huijing Gong, Ishwar Singh Bhati, Rosario Cammarota, Tajana Simunic Rosing, Mariano Tepper, Theodore L. Willke
2024	J	`jnl`	LeanVec: Searching vectors faster by making them fit. Trans. Mach. Learn. Res. Mariano Tepper, Ishwar Singh Bhati, Cecilia Aguerrebere, Mark Hildebrand, Theodore L. Willke
2024	J	`jnl`	Locally-Adaptive Quantization for Streaming Vector Search. CoRR Cecilia Aguerrebere, Mark Hildebrand, Ishwar Singh Bhati, Theodore L. Willke, Mariano Tepper
2024	J	`jnl`	Memory-Augmented Graph Neural Networks: A Brain-Inspired Review. IEEE Trans. Artif. Intell. Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
2024	J	`jnl`	Neural-Symbolic Methods for Knowledge Graph Reasoning: A Survey. ACM Trans. Knowl. Discov. Data Kewei Cheng, Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Yizhou Sun
2024	A*	`conf`	Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. EMNLP Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
2024	J	`jnl`	Structure Guided Prompt: Instructing Large Language Model in Multi-Step Reasoning by Exploring Graph Structure of the Text. CoRR Kewei Cheng, Nesreen K. Ahmed, Theodore L. Willke, Yizhou Sun
2024	J	`jnl`	The Landscape and Challenges of HPC Research and LLMs. CoRR 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
2023	A*	`conf`	Augmenting Recurrent Graph Neural Networks with a Cache. KDD Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
2023	J	`jnl`	Leveraging Reinforcement Learning and Large Language Models for Code Optimization. CoRR Shukai Duan, Nikos Kanakaris, Xiongye Xiao, Heng Ping, Chenyu Zhou, Nesreen K. Ahmed, Guixiang Ma, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2023	J	`jnl`	Similarity search in the blink of an eye with compressed indices. Proc. VLDB Endow. Cecilia Aguerrebere, Ishwar Singh Bhati, Mark Hildebrand, Mariano Tepper, Theodore L. Willke
2022	J	`jnl`	End-to-end Mapping in Heterogeneous Systems Using Graph Representation Learning. CoRR Yao Xiao, Guixiang Ma, Nesreen K. Ahmed, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan
2022	J	`jnl`	Memory in humans and deep language models: Linking hypotheses for model augmentation. CoRR Omri Raccah, Phoebe Chen, Theodore L. Willke, David Poeppel, Vy A. Vo
2022	J	`jnl`	Memory-Augmented Graph Neural Networks: A Neuroscience Perspective. CoRR Guixiang Ma, Vy A. Vo, Theodore L. Willke, Nesreen K. Ahmed
2022	J	`jnl`	Role-Based Graph Embeddings. IEEE Trans. Knowl. Data Eng. Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Theodore L. Willke, Rong Zhou, Xiangnan Kong, Hoda Eldardiry
2022	J	`jnl`	Toward a Geometrical Understanding of Self-supervised Contrastive Learning. CoRR Romain Cosentino, Anirvan M. Sengupta, Salman Avestimehr, Mahdi Soltanolkotabi, Antonio Ortega, Theodore L. Willke, Mariano Tepper
2021	—	`conf`	A Distributed Graph-Theoretic Framework for Automatic Parallelization in Multi-core Systems. MLSys Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
2021	J	`jnl`	Deep graph similarity learning: a survey. Data Min. Knowl. Discov. Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
2021	—	`conf`	Learning Code Representations Using Multifractal-based Graph Networks. IEEE BigData Guixiang Ma, Yao Xiao, Mihai Capota, Theodore L. Willke, Shahin Nazarian, Paul Bogdan, Nesreen K. Ahmed
2021	J	`jnl`	Slower is Better: Revisiting the Forgetting Mechanism in LSTM for Slower Information Decay. CoRR Hsiang-Yun Sherry Chien, Javier S. Turek, Nicole Beckage, Vy A. Vo, Christopher J. Honey, Theodore L. Willke
2020	J	`jnl`	A Vertex Cut based Framework for Load Balancing and Parallelism Optimization in Multi-core Systems. CoRR Guixiang Ma, Yao Xiao, Theodore L. Willke, Nesreen K. Ahmed, Shahin Nazarian, Paul Bogdan
2020	A*	`conf`	Approximating Stacked and Bidirectional Recurrent Architectures with the Delayed Recurrent Neural Network. ICML Javier Turek, Shailee Jain, Vy A. Vo, Mihai Capota, Alexander Huth, Theodore L. Willke
2020	J	`jnl`	BrainIAK tutorials: User-friendly learning materials for advanced fMRI analysis. PLoS Comput. Biol. Manoj Kumar, Cameron T. Ellis, Qihong Lu, Hejia Zhang, Mihai Capota, Theodore L. Willke, Peter J. Ramadge, Nicholas B. Turk-Browne, Kenneth A. Norman
2020	J	`jnl`	Navigating the Trade-Off between Multi-Task Learning and Learning to Multitask in Deep Neural Networks. CoRR Sachin Ravi, Sebastian Musslick, Maia Hamin, Theodore L. Willke, Jonathan D. Cohen
2020	A	`conf`	NeuroVectorizer: end-to-end vectorization with deep reinforcement learning. CGO Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica
2020	J	`jnl`	Procrustean Orthogonal Sparse Hashing. CoRR Mariano Tepper, Dipanjan Sengupta, Theodore L. Willke
2019	J	`jnl`	A single-layer RNN can approximate stacked and bidirectional RNNs, and topologies in between. CoRR Javier S. Turek, Shailee Jain, Mihai Capota, Alexander G. Huth, Theodore L. Willke
2019	A	`conf`	Deep Graph Similarity Learning for Brain Data Analysis. CIKM Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
2019	J	`jnl`	Deep Graph Similarity Learning: A Survey. CoRR Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Philip S. Yu
2019	J	`jnl`	Deep Reinforcement Learning in System Optimization. CoRR Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Joseph Gonzalez, Krste Asanovic, Ion Stoica
2019	J	`jnl`	NeuroVectorizer: End-to-End Vectorization with Deep Reinforcement Learning. CoRR Ameer Haj-Ali, Nesreen K. Ahmed, Theodore L. Willke, Yakun Sophia Shao, Krste Asanovic, Ion Stoica
2018	J	`jnl`	A probabilistic approach to discovering dynamic full-brain functional connectivity patterns. NeuroImage Jeremy R. Manning, Xia Zhu, Theodore L. Willke, Rajesh Ranganath, Kimberly L. Stachenfeld, Uri Hasson, David M. Blei, Kenneth A. Norman
2018	Misc	`conf`	Capturing Shared and Individual Information in fMRI Data. ICASSP Javier S. Turek, Cameron T. Ellis, Lena J. Skalaban, Nicholas B. Turk-Browne, Theodore L. Willke
2018	J	`jnl`	Clinically Deployed Distributed Magnetic Resonance Imaging Reconstruction: Application to Pediatric Knee Imaging. CoRR Michael J. Anderson, Jonathan I. Tamir, Javier S. Turek, Marcus T. Alley, Theodore L. Willke, Shreyas S. Vasanawala, Michael Lustig
2018	J	`jnl`	Learning Role-based Graph Embeddings. CoRR Nesreen K. Ahmed, Ryan A. Rossi, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Rong Zhou, Hoda Eldardiry
2018	A	`conf`	Matrix-normal models for fMRI analysis. AISTATS Michael Shvartsman, Narayanan Sundaram, Mikio Aoi, Adam Charles, Theodore L. Willke, Jonathan D. Cohen
2018	—	`conf`	Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers. ECCV (8) Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke
2018	J	`jnl`	Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers. CoRR Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke
2018	J	`jnl`	Scheduling Computation Graphs of Deep Learning Models on Manycore CPUs. CoRR Linpeng Tang, Yida Wang, Theodore L. Willke, Kai Li
2018	J	`jnl`	Similarity Learning with Higher-Order Proximity for Brain Network Analysis. CoRR Guixiang Ma, Nesreen K. Ahmed, Theodore L. Willke, Dipanjan Sengupta, Michael W. Cole, Nicholas B. Turk-Browne, Philip S. Yu
2017	B	`conf`	A Formal Approach to Modeling the Cost of Cognitive Control. CogSci Kayhan Özcimder, Biswadip Dey, Sebastian Musslick, Giovanni Petri, Nesreen K. Ahmed, Theodore L. Willke, Jonathan D. Cohen
2017	J	`jnl`	A Framework for Generalizing Graph-based Representation Learning Methods. CoRR Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry
2017	—	`conf`	A Higher-Order Latent Space Network Model. AAAI Workshops Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou
2017	Misc	`conf`	A semi-supervised method for multi-subject FMRI functional alignment. ICASSP Javier S. Turek, Theodore L. Willke, Po-Hsuan Chen, Peter J. Ramadge
2017	J	`jnl`	Bridging the Gap between HPC and Big Data frameworks. Proc. VLDB Endow. Michael J. Anderson, Shaden Smith, Narayanan Sundaram, Mihai Capota, Zheguang Zhao, Subramanya Dulloor, Nadathur Satish, Theodore L. Willke
2017	—	`conf`	Edge Role Discovery via Higher-Order Structures. PAKDD (1) Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou
2017	J	`jnl`	Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. Nesreen K. Ahmed, Jennifer Neville, Ryan A. Rossi, Nick G. Duffield, Theodore L. Willke
2017	C	`conf`	High-Performance Incremental SVM Learning on Intel ISC Dipanjan Sengupta, Yida Wang, Narayanan Sundaram, Theodore L. Willke
2017	J	`jnl`	On Sampling from Massive Graph Streams. CoRR Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi
2017	J	`jnl`	On Sampling from Massive Graph Streams. Proc. VLDB Endow. Nesreen K. Ahmed, Nick G. Duffield, Theodore L. Willke, Ryan A. Rossi
2017	J	`jnl`	Representation Learning in Large Attributed Graphs. CoRR Nesreen K. Ahmed, Ryan A. Rossi, Rong Zhou, John Boaz Lee, Xiangnan Kong, Theodore L. Willke, Hoda Eldardiry
2017	J	`jnl`	Segmenting Brain Tumors with Symmetry. CoRR Hejia Zhang, Xia Zhu, Theodore L. Willke
2016	J	`jnl`	A Convolutional Autoencoder for Multi-Subject fMRI Data Aggregation. CoRR Po-Hsuan Chen, Xia Zhu, Hejia Zhang, Javier S. Turek, Janice Chen, Theodore L. Willke, Uri Hasson, Peter J. Ramadge
2016	J	`jnl`	A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis. CoRR Hejia Zhang, Po-Hsuan Chen, Janice Chen, Xia Zhu, Javier S. Turek, Theodore L. Willke, Uri Hasson, Peter J. Ramadge
2016	B	`conf`	Controlled vs. Automatic Processing: A Graph-Theoretic Approach to the Analysis of Serial vs. Parallel Processing in Neural Network Architectures. CogSci Sebastian Musslick, Biswadip Dey, Kayhan Özcimder, Md. Mostofa Ali Patwary, Theodore L. Willke, Jonathan D. Cohen
2016	J	`jnl`	Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets. CoRR 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
2016	—	`conf`	Enabling factor analysis on thousand-subject neuroimaging datasets. IEEE BigData 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
2016	—	`conf`	Estimation of local subgraph counts. IEEE BigData Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi
2016	—	`conf`	Exact and Estimation of Local Edge-centric Graphlet Counts. BigMine Nesreen K. Ahmed, Theodore L. Willke, Ryan A. Rossi
2016	—	`conf`	GraphIn: An Online High Performance Incremental Graph Processing Framework. Euro-Par Dipanjan Sengupta, Narayanan Sundaram, Xia Zhu, Theodore L. Willke, Jeffrey S. Young, Matthew Wolf, Karsten Schwan
2016	A	`conf`	GraphPad: Optimized Graph Primitives for Parallel and Distributed Platforms. IPDPS Michael J. Anderson, Narayanan Sundaram, Nadathur Satish, Md. Mostofa Ali Patwary, Theodore L. Willke, Pradeep Dubey
2016	—	`conf`	Real-time full correlation matrix analysis of fMRI data. IEEE BigData Yida Wang, Bryn Keller, Mihai Capota, Michael J. Anderson, Narayanan Sundaram, Jonathan D. Cohen, Kai Li, Nicholas B. Turk-Browne, Theodore L. Willke
2016	J	`jnl`	Revisiting Role Discovery in Networks: From Node to Edge Roles. CoRR Nesreen K. Ahmed, Ryan A. Rossi, Theodore L. Willke, Rong Zhou
2015	A	`conf`	Full correlation matrix analysis of fMRI data on Intel® Xeon Phi™ coprocessors. SC Yida Wang, Michael J. Anderson, Jonathan D. Cohen, Alexander Heinecke, Kai Li, Nadathur Satish, Narayanan Sundaram, Nicholas B. Turk-Browne, Theodore L. Willke
2015	—	`ed.`	Proceedings of the Third International Workshop on Graph Data Management Experiences and Systems, GRADES 2015, Melbourne, VIC, Australia, May 31 - June 4, 2015 GRADES@SIGMOD/PODS Josep Lluís Larriba-Pey, Theodore L. Willke
2014	B	`conf`	Benchmarking graph-processing platforms: a vision. ICPE Yong Guo, Ana Lucia Varbanescu, Alexandru Iosup, Claudio Martella, Theodore L. Willke
2014	A	`conf`	How Well Do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis. IPDPS Yong Guo, Marcin Biczak, Ana Lucia Varbanescu, Alexandru Iosup, Claudio Martella, Theodore L. Willke
2013	—	`conf`	GraphBuilder: scalable graph ETL framework. GRADES Nilesh Jain, Guangdeng Liao, Theodore L. Willke
2013	—	`conf`	Gunther: Search-Based Auto-Tuning of MapReduce. Euro-Par Guangdeng Liao, Kushal Datta, Theodore L. Willke
2013	B	`conf`	Towards Machine Learning-Based Auto-tuning of MapReduce. MASCOTS Nezih Yigitbasi, Theodore L. Willke, Guangdeng Liao, Dick H. J. Epema
2009	J	`jnl`	A survey of inter-vehicle communication protocols and their applications. IEEE Commun. Surv. Tutorials Theodore L. Willke, Patcharinee Tientrakool, Nicholas F. Maxemchuk
2007	J	`jnl`	Coordinated interaction using reliable broadcast in mobile wireless networks. Comput. Networks Theodore L. Willke, Nicholas F. Maxemchuk
2007	J	`jnl`	Reliable Neighborcast. IEEE Trans. Veh. Technol. Nicholas F. Maxemchuk, Patcharinee Tientrakool, Theodore L. Willke
2005	B	`conf`	Coordinated Interaction Using Reliable Broadcast in Mobile Wireless Networks. NETWORKING Theodore L. Willke, Nicholas F. Maxemchuk
2004	—	`conf`	Reliable Collaborative Decision Making in Mobile Ad Hoc Networks. MMNS Theodore L. Willke, Nicholas F. Maxemchuk
1977	Misc	`conf`	NUFACTS: A tool for the analysis of nuclear development policies. WSC Mark B. Triplett, Theodore L. Willke, John D. Waddell