Bin Gao | DeepAI

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P. -A. Absil
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∙ 06/15/2023

Optimization on product manifolds under a preconditioned metric

Since optimization on Riemannian manifolds relies on the chosen metric, ...

0 Bin Gao, et al. ∙

∙ 03/29/2023

Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints

Orthogonality constraints naturally appear in many machine learning prob...

0 Pierre Ablin, et al. ∙

∙ 02/28/2023

Riemannian preconditioned algorithms for tensor completion via tensor ring decomposition

We propose Riemannian preconditioned algorithms for the tensor completio...

0 Bin Gao, et al. ∙

∙ 11/17/2022

Optimization on the symplectic Stiefel manifold: SR decomposition-based retraction and applications

Numerous problems in optics, quantum physics, stability analysis, and co...

0 Bin Gao, et al. ∙

∙ 05/20/2022

UCC: Uncertainty guided Cross-head Co-training for Semi-Supervised Semantic Segmentation

Deep neural networks (DNNs) have witnessed great successes in semantic s...

0 Jiashuo Fan, et al. ∙

∙ 05/17/2022

Brachial Plexus Nerve Trunk Segmentation Using Deep Learning: A Comparative Study with Doctors' Manual Segmentation

Ultrasound-guided nerve block anesthesia (UGNB) is a high-tech visual ne...

0 Yu Wang, et al. ∙

∙ 03/13/2022

On the analysis of optimization with fixed-rank matrices: a quotient geometric view

We study a type of Riemannian gradient descent (RGD) algorithm, designed...

0 Shuyu Dong, et al. ∙

∙ 11/30/2021

EAGAN: Efficient Two-stage Evolutionary Architecture Search for GANs

Generative Adversarial Networks (GANs) have been proven hugely successfu...

0 Guohao Ying, et al. ∙

∙ 08/17/2021

Edge AI without Compromise: Efficient, Versatile and Accurate Neurocomputing in Resistive Random-Access Memory

Realizing today's cloud-level artificial intelligence functionalities di...

39 Weier Wan, et al. ∙

∙ 01/26/2021

New Riemannian preconditioned algorithms for tensor completion via polyadic decomposition

We propose new Riemannian preconditioned algorithms for low-rank tensor ...

0 Shuyu Dong, et al. ∙

∙ 04/07/2016

Sentence Level Recurrent Topic Model: Letting Topics Speak for Themselves

We propose Sentence Level Recurrent Topic Model (SLRTM), a new topic mod...

0 Fei Tian, et al. ∙

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