Results 1 to 10 of about 1,326,759 (141)
Efficient Geometry-aware 3D Generative Adversarial Networks [PDF]
Computer Vision and Pattern Recognition, 2021 Unsupervised generation of high-quality multi-view-consistent images and 3D shapes using only collections of single-view 2D photographs has been a long-standing challenge.
Eric Chan +11 more
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Wiley Encyclopedia of Computer Science and Engineering, 2022 We compute the fundamental group of an algebraic link. To cite this article: O. Neto, P.C. Silva, C. R. Acad. Sci. Paris, Ser. I 340 (2005). 2004 Académie des sciences. Published by Elsevier SAS. All rights reserved.
David A. Cox
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Geometry-enhanced molecular representation learning for property prediction [PDF]
Nature Machine Intelligence, 2021 Effective molecular representation learning is of great importance to facilitate molecular property prediction. Recent advances for molecular representation learning have shown great promise in applying graph neural networks to model molecules. Moreover,
Xiaomin Fang +8 more
semanticscholar +1 more source
Spin impurities, Wilson lines and semiclassics
Journal of High Energy Physics, 2022 We consider line defects with large quantum numbers in conformal field theories. First, we consider spin impurities, both for a free scalar triplet and in the Wilson-Fisher O(3) model.
Gabriel Cuomo +3 more
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Boundary conformal field theory at large charge
Journal of High Energy Physics, 2021 We study operators with large internal charge in boundary conformal field theories (BCFTs) with internal symmetries. Using the state-operator correspondence and the existence of a macroscopic limit, we find a non-trivial relation between the scaling ...
Gabriel Cuomo +2 more
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Localized magnetic field in the O(N) model
Journal of High Energy Physics, 2022 We consider the critical O(N) model in the presence of an external magnetic field localized in space. This setup can potentially be realized in quantum simulators and in some liquid mixtures.
Gabriel Cuomo +2 more
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Extremal correlators and random matrix theory
Journal of High Energy Physics, 2021 We study the correlation functions of Coulomb branch operators of four-dimensional N $$ \mathcal{N} $$ = 2 Superconformal Field Theories (SCFTs).
Alba Grassi +2 more
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Exceptional moduli spaces for exceptional N $$ \mathcal{N} $$ = 3 theories
Journal of High Energy Physics, 2022 It is expected on general grounds that the moduli space of 4d N $$ \mathcal{N} $$ = 3 theories is of the form ℂ3r /Γ, with r the rank and Γ a crystallographic complex reflection group (CCRG). As in the case of Lie algebras, the space of CCRGs consists of
Justin Kaidi, Mario Martone, Gabi Zafrir
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Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Numerous deep learning applications benefit from multitask learning with multiple regression and classification objectives. In this paper we make the observation that the performance of such systems is strongly dependent on the relative weighting between
Alex Kendall, Y. Gal, R. Cipolla
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Spontaneously broken boosts in CFTs
Journal of High Energy Physics, 2021 Conformal Field Theories (CFTs) have rich dynamics in heavy states. We describe the constraints due to spontaneously broken boost and dilatation symmetries in such states.
Zohar Komargodski +3 more
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