Author

David H Coy

VP, AI Models; IBM Director, MIT-IBM Watson AI Lab, IBM Research - Cited by 15,693 - Artificial Intelligence - Generative AI - Large Language Models

Biography

Dr. Coy received his B.S. in Chemistry in 1966 and Ph.D. in organofluorine chemistry in 1969 from the University of Manchester Institute of Science and Technology. He then did postdoctoral research on neurophysin proteins while working with Dr. Murray Saffran's group at the Medical College of Ohio at Toledo and on the synthesis and medicinal chemistry of hypothalamic peptide hormones while working with Nobel Laureate Dr. Andrew Schally at Tulane. He became Assistant Professor in the Department of Medicine at Tulane in 1973 and Research Professor in 1982.
Title
Cited by
Year
On the information bottleneck theory of deep learning
AM Saxe, Y Bansal, J Dapello, M Advani, A Kolchinsky, BD Tracey, ...Journal of Statistical Mechanics: Theory and Experiment 2019 (12), 124020, 2019201
478
2019
Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammograms
T Schaffter, DSM Buist, CI Lee, Y Nikulin, D Ribli, Y Guan, W Lotter, Z Jie, ...JAMA network open 3 (3), e200265-e200265, 2020202
245
2020
Threedworld: A platform for interactive multi-modal physical simulation
C Gan, J Schwartz, S Alter, D Mrowca, M Schrimpf, J Traer, J De Freitas, ...arXiv preprint arXiv:2007.04954, 2020202
174
2020
Simulating a primary visual cortex at the front of CNNs improves robustness to image perturbations
J Dapello, T Marques, M Schrimpf, F Geiger, DD Cox, JJ DiCarloNeurIPS, 2020202
135
2020
Unsupervised speech decomposition via triple information bottleneck
K Qian, Y Zhang, S Chang, M Hasegawa-Johnson, D CoxInternational Conference on Machine Learning, 7836-7846, 2020202
134
2020
A neural network trained for prediction mimics diverse features of biological neurons and perception
W Lotter, G Kreiman, D CoxNature machine intelligence 2 (4), 210-219, 202098202
98
2020
Triton: an intermediate language and compiler for tiled neural network computations
P Tillet, HT Kung, D CoxProceedings of the 3rd ACM SIGPLAN International Workshop on Machine …, 2019201
61
2019
Encoding of 3D head orienting movements in the primary visual cortex
G Guitchounts, J Masis, SBE Wolff, D CoxNeuron 108 (3), 512-5. e4, 2020202
52
2020
Parp: Prune, adjust and re-prune for self-supervised speech recognition
CIJ Lai, Y Zhang, AH Liu, S Chang, YL Liao, YS Chuang, K Qian, ...Advances in Neural Information Processing Systems 34, 21256-21272, 2021202
35
2021
Global prosody style transfer without text transcriptions
K Qian, Y Zhang, S Chang, J Xiong, C Gan, D Cox, M Hasegawa-JohnsonInternational Conference on Machine Learning, 8650-8660, 2021202
32
2021
Joint visual-temporal embedding for unsupervised learning of actions in untrimmed sequences
RG VidalMata, WJ Scheirer, A Kukleva, D Cox, H KuehneProceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021202
31
2021
64-channel carbon fiber electrode arrays for chronic electrophysiology
G Guitchounts, D CoxScientific Reports 10 (1), 3830, 2020202
27
2020
Contentvec: An improved self-supervised speech representation by disentangling speakers
K Qian, Y Zhang, H Gao, J Ni, CI Lai, D Cox, M Hasegawa-Johnson, ...International Conference on Machine Learning, 18003-18017, 2022202
27
2022
Wide-area all-optical neurophysiology in acute brain slices
SL Farhi, VJ Parot, A Grama, M Yamagata, AS Abdelfattah, Y Adam, ...Journal of Neuroscience 39 (25), 4889-4908, 2019201
27
2019
Lifelong object detection
W Zhou, S Chang, N Sosa, H Hamann, D CoxarXiv preprint arXiv:2009.01129, 2020202
25
2020
Drawing robust scratch tickets: Subnetworks with inborn robustness are found within randomly initialized networks
Y Fu, Q Yu, Y Zhang, S Wu, X Ouyang, D Cox, Y LinAdvances in Neural Information Processing Systems 34, 13059-13072, 2021202
22
2021
Object-centric diagnosis of visual reasoning
J Yang, J Mao, J Wu, D Parikh, DD Cox, JB Tenenbaum, C GanarXiv preprint arXiv:2012.11587, 2020202
16
2020
Hyperopt: Distributed asynchronous hyper-parameter optimization
J Bergstra, D Yamins, DD CoxAstrophysics Source Code Library, ascl: 2205.008, 2022202
13
2022
Principle-driven self-alignment of language models from scratch with minimal human supervision
Z Sun, Y Shen, Q Zhou, H Zhang, Z Chen, D Cox, Y Yang, C GanarXiv preprint arXiv:2305.03047, 2023202
12
2023
Auto-NBA: Efficient and effective search over the joint space of networks, bitwidths, and accelerators
Y Fu, Y Zhang, Y Zhang, D Cox, Y LinInternational Conference on Machine Learning, 3505-3517, 2021202
11
2021

Referred From: https://scholar.google.com/citations?user=6S-WgLkAAAAJ&hl=en

Cited by
Citations 15693
h-index 50
i10-index 82
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