Sagi Eppel
University of Toronto
27 Papers
133 Citations
Sagi Eppel is an academic researcher from University of Toronto. The author has contributed to research in topics: Computer science & Artificial neural network. The author has an hindex of 8, co-authored 23 publications. Previous affiliations of Sagi Eppel include Tel Aviv University & Ben-Gurion University of the Negev.
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Papers
Computer Vision for Recognition of Materials and Vessels in Chemistry Lab Settings and the Vector-LabPics Data Set.
TL;DR: This work presents the Vector-LabPics data set, which consists of 2187 images of materials within mostly transparent vessels in a chemistry lab and other general settings, and trained neural networks achieved good accuracy in detecting and segmenting vessels and material phases, and in classifying liquids and solids.
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Deep Molecular Dreaming: Inverse machine learning for de-novo molecular design and interpretability with surjective representations
Cynthia Shen,Mario Krenn,Sagi Eppel,Alán Aspuru-Guzik +3 more
- 09 Jun 2021
TL;DR: PASITHEA as discussed by the authors exploits the use of gradients by directly reversing the learning process of a neural network, which is trained to predict real-valued chemical properties, which forms an inverse regression model, which can be capable of generating molecular variants optimized for a certain property.
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•Posted Content
Computer vision-based recognition of liquid surfaces and phase boundaries in transparent vessels, with emphasis on chemistry applications.
Sagi Eppel,Tal Kachman +1 more
TL;DR: This work examines a computer vision method for the recognition of liquid surfaces and liquid levels in various transparent containers that can be applied to recognition of both liquid-air and liquid-liquid surfaces.
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Statistical survey of hydrogen-bond motifs in crystallographic special symmetry positions, and the influence of chirality of molecules in the crystal on the formation of hydrogen-bond ring motifs.
Sagi Eppel,Joel Bernstein +1 more
TL;DR: The results show that the crystallographic inversion center is a very significant component in the formation of hydrogen-bond ring motifs.
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Amide-Templated Iodoplumbates: Extending Lead-Iodide Based Hybrid Semiconductors
TL;DR: In this paper, it was shown that it is possible to grow iodoplumbates from amides following two distinct pathways, the first pathway using amidium (protonated amides) as the organic cation in the crystal, which occurs for tertiary amides and urea.
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