- Saurav Kumar, Alireza Mohammadi, David Quintero, Siavash Rezazadeh, Nicholas R. Gans, Robert D. Gregg:
Extremum Seeking Control for Model-Free Auto-Tuning of Powered Prosthetic Legs. IEEE Trans. Control. Syst. Technol. 28(6): 2120-2135 (2020) - Miguel de Prado, Jing Su, Rabia Saeed, Lorenzo Keller, Noelia Vállez, Andrew Anderson, David Gregg, Luca Benini, Tim Llewellynn, Nabil Ouerhani, Rozenn Dahyot, Nuria Pazos:
Bonseyes AI Pipeline - Bringing AI to You: End-to-end integration of data, algorithms, and deployment tools. ACM Trans. Internet Things 1(4): 26:1-26:25 (2020) - Barbara Barabasz, Andrew Anderson, Kirk M. Soodhalter, David Gregg:
Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks. ACM Trans. Math. Softw. 46(4): 37:1-37:33 (2020) - J. Thomas Farrar, Eric D'Asaro, Ernesto Rodríguez, Andrey Shcherbina, Erin Czech, Paul Matthias, Sommer Nicholas, Frederick M. Bingham, Amala Mahedevan, Melissa Omand, Luc Rainville, Craig Lee, Dudley Chelton, Roger Samelson, Larry W. O'Neill, Luc Lenain, Dimitris Menemenlis, Dragana Perkovic-Martin, Pantazis Mouroulis, Michelle M. Gierach, David Thompson, Alexander Wineteer, Héctor Torres, Patrice Klein, Andrew F. Thompson, James C. McWilliams, Jeroen Molemaker, Roy Barkan, Jacob Wenegrat, Cesar Rocha, Gregg Jacobs, Joseph M. D'Addezio, Sebastien de Halleux, Richard Jenkins:
S-MODE: The Sub-Mesoscale Ocean Dynamics Experiment. IGARSS 2020: 3533-3536 - Syed Asad Alam, David Gregg:
Beyond Base-2 Logarithmic Number Systems (WiP Paper). LCTES 2020: 141-145 - Andrew Anderson, Aravind Vasudevan, Cormac Keane, David Gregg:
High-Performance Low-Memory Lowering: GEMM-based Algorithms for DNN Convolution. SBAC-PAD 2020: 99-106 - Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. SBAC-PAD 2020: 199-208 - Kaveena Persand, Andrew Anderson, David Gregg:
Composition of Saliency Metrics for Pruning with a Myopic Oracle. SSCI 2020: 753-759 - Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg:
Performance-Oriented Neural Architecture Search. CoRR abs/2001.02976 (2020) - Kaveena Persand, Andrew Anderson, David Gregg:
Composition of Saliency Metrics for Channel Pruning with a Myopic Oracle. CoRR abs/2004.03376 (2020) - Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
TASO: Time and Space Optimization for Memory-Constrained DNN Inference. CoRR abs/2005.10709 (2020) - Yuan Wen, David Gregg:
Exploiting Weight Redundancy in CNNs: Beyond Pruning and Quantization. CoRR abs/2006.11967 (2020) - James Garland, David Gregg:
HOBFLOPS CNNs: Hardware Optimized Bitsliced Floating-Point Operations Convolutional Neural Networks. CoRR abs/2007.06563 (2020) - 2019
- Siavash Rezazadeh, David Quintero, Nikhil Divekar, Emma Reznick, Leslie Gray, Robert D. Gregg:
A Phase Variable Approach for Improved Rhythmic and Non-Rhythmic Control of a Powered Knee-Ankle Prosthesis. IEEE Access 7: 109840-109855 (2019) - Zhijie Liu, Suresh B. Singh, Yajun Zheng, Peter Lindblom, Colin Tice, Chengguo Dong, Linghang Zhuang, Yi Zhao, Barbara A. Kruk, Deepak Lala, David A. Claremon, Gerard M. McGeehan, Richard D. Gregg, Robert Cain:
Discovery of Potent Inhibitors of 11β-Hydroxysteroid Dehydrogenase Type 1 Using a Novel Growth-Based Protocol of in Silico Screening and Optimization in CONTOUR. J. Chem. Inf. Model. 59(8): 3422-3436 (2019) - Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren:
Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019) - Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren:
Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019) - Alan L. Porter, David J. Schoeneck, Jan L. Youtie, Gregg E. A. Solomon, Seokbeom Kwon, Stephen F. Carley:
Learning about learning: patterns of sharing of research knowledge among Education, Border, and Cognitive Science fields. Scientometrics 118(3): 1093-1117 (2019) - Yuan Wen, Andrew Anderson, Valentin Radu, Michael F. P. O'Boyle, David Gregg:
POSTER: Space and Time Optimal DNN Primitive Selection with Integer Linear Programming. PACT 2019: 489-490 - Anna M. Szopa, J. Bern Jordan, David J. Folmar, Gregg C. Vanderheiden:
The Auto-Personalization Computing Project in Libraries. AHFE (21) 2019: 802-812 - Barbara Barabasz, David Gregg:
Winograd Convolution for DNNs: Beyond Linear Polynomials. AI*IA 2019: 307-320 - Andrew Anderson, Michael Doyle, David Gregg:
Scalar Arithmetic Multiple Data: Customizable Precision for Deep Neural Networks. ARITH 2019: 61-68 - David A. Askay, Lynn Metcalf, Louis B. Rosenberg, Gregg Willcox:
Enhancing Group Social Perceptiveness through a Swarm-based Decision-Making Platform. HICSS 2019: 1-10 - Andrew Anderson, Jing Su, Rozenn Dahyot, David Gregg:
Performance-Oriented Neural Architecture Search. HPCS 2019: 177-184 - Barbara Barabasz, David Gregg:
Winograd Convolution for DNNs: Beyond linear polinomials. CoRR abs/1905.05233 (2019) - Kaveena Persand, Andrew Anderson, David Gregg:
A Taxonomy of Channel Pruning Signals in CNNs. CoRR abs/1906.04675 (2019) - 2018
- Benjamin Braun, Hugo Corrales, Scott Corry, Luis David García-Puente, Darren B. Glass, Nathan Kaplan, Jeremy L. Martin, Gregg Musiker, Carlos E. Valencia:
Counting arithmetical structures on paths and cycles. Discret. Math. 341(10): 2949-2963 (2018) - Molly A. Bogue, Stephen C. Grubb, David O. Walton, Vivek M. Philip, Georgi Kolishovski, Tim Stearns, Matthew H. Dunn, Daniel A. Skelly, Beena Kadakkuzha, Gregg TeHennepe, Kunde Ramamoorthy Govindarajan, Elissa J. Chesler:
Mouse Phenome Database: an integrative database and analysis suite for curated empirical phenotype data from laboratory mice. Nucleic Acids Res. 46(Database-Issue): D843-D850 (2018) - James Garland, David Gregg:
Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing. ACM Trans. Archit. Code Optim. 15(3): 31:1-31:24 (2018) - David Quintero, Anne E. Martin, Robert D. Gregg:
Toward Unified Control of a Powered Prosthetic Leg: A Simulation Study. IEEE Trans. Control. Syst. Technol. 26(1): 305-312 (2018)