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Sohil Shah
Sohil Shah
AI Research Scientist, Intel Labs
Email verificata su intel.com - Home page
Titolo
Citata da
Citata da
Anno
Robust continuous clustering
SA Shah, V Koltun
Proceedings of the National Academy of Sciences 114 (37), 9814-9819, 2017
1912017
Stabilizing adversarial nets with prediction methods
A Yadav, S Shah, Z Xu, D Jacobs, T Goldstein
arXiv preprint arXiv:1705.07364, 2017
1112017
Deep continuous clustering
SA Shah, V Koltun
arXiv preprint arXiv:1803.01449, 2018
852018
Stacked U-Nets for ground material segmentation in remote sensing imagery
A Ghosh, M Ehrlich, S Shah, LS Davis, R Chellappa
Proceedings of the IEEE conference on computer vision and pattern …, 2018
842018
Stacked U-Nets: a no-frills approach to natural image segmentation
S Shah, P Ghosh, LS Davis, T Goldstein
arXiv preprint arXiv:1804.10343, 2018
612018
Biconvex relaxation for semidefinite programming in computer vision
S Shah, AK Yadav, CD Castillo, DW Jacobs, C Studer, T Goldstein
European Conference on Computer Vision, 717-735, 2016
322016
Understanding the (un) interpretability of natural image distributions using generative models
R Krusinga, S Shah, M Zwicker, T Goldstein, D Jacobs
arXiv preprint arXiv:1901.01499, 2019
152019
Modified stochastic gradient algorithm using nonquadratic cost functions for data echo cancellation
SAH Shah, CFN Cowan
IEE Proceedings-Vision, Image and Signal Processing 142 (3), 187-191, 1995
151995
Estimating sparse signals with smooth support via convex programming and block sparsity
S Shah, T Goldstein, C Studer
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
72016
Auto-decoding graphs
SA Shah, V Koltun
arXiv preprint arXiv:2006.02879, 2020
42020
Weakly supervised learning of heterogeneous concepts in videos
S Shah, K Kulkarni, A Biswas, A Gandhi, O Deshmukh, LS Davis
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
42016
QuDPy: A Python-based tool for computing ultrafast non-linear optical responses
SA Shah, H Li, ER Bittner, C Silva, A Piryatinski
Computer Physics Communications 292, 108891, 2023
32023
Low latency, High throughput and Less complex VLSI architecture for 2D-DFT
SA Shah, P Venkatesan, D Sundar, M Kannan
2008 International Conference on Signal Processing, Communications and …, 2008
32008
Stochastic exciton-scattering theory of optical line shapes: Renormalized many-body contributions
H Li, SA Shah, ER Bittner, A Piryatinski, C Silva-Acuña
The Journal of Chemical Physics 157 (5), 2022
22022
Hypergraph Clustering based on Game Theory
A Abdelkader, N Fung, A Li, S Shah
12014
Requirements for probing chiral Casimir-Polder forces in a molecular Talbot-Lau interferometer
F Suzuki, SA Shah, DAR Dalvit, M Arndt
arXiv preprint arXiv:2402.10391, 2024
2024
Information Disclosure about Booster Efficacy in a Non-Stationary Environment
S Shah, S Amin, P Jaillet
2023 62nd IEEE Conference on Decision and Control (CDC), 5222-5229, 2023
2023
Information Design for Hybrid Work under Infectious Disease Transmission Risk
S Shah, S Amin, P Jaillet
arXiv preprint arXiv:2312.04073, 2023
2023
Correlating exciton coherence length, localization, and its optical lineshape
E Bittner, C Silva, SA Shah, H Li
Qeios, 2023
2023
Erratum:“Stochastic exciton-scattering theory of optical line shapes: Renormalized many-body contributions”[J. Chem. Phys. 157, 054103 (2022)]
H Li, SA Shah, ER Bittner, A Piryatinski, C Silva-Acuña
The Journal of Chemical Physics 157 (21), 2022
2022
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