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most cited11 TeraFLOPs per second photonic convolutional accelerator for deep learning optical neural networks

1.5k citations

Showing 2020Show all

103 papers · 1 filter

cs.AI2020★ 1 cited

Who will accept my request? Predicting response of link initiation in two-way relation networks

Amin Javari, Mehrab Norouzitallab, Mahdi Jalili

Popularity of social networks has rapidly increased over the past few years, and daily lives interrupt without their proper functioning. Social networking platform provide multiple…

stat.ML2020★ 1 cited

High Dimensional Level Set Estimation with Bayesian Neural Network

Huong Ha, Sunil Gupta, Santu Rana +1

Level Set Estimation (LSE) is an important problem with applications in various fields such as material design, biotechnology, machine operational testing, etc. Existing techniques…

physics.flu-dyn2020★ 6 cited

Analytical solution for an acoustic boundary layer around an oscillating rigid sphere

Evert Klaseboer, Qiang Sun, Derek Y. C. Chan

Analytical solutions in fluid dynamics can be used to elucidate the physics of complex flows and to serve as test cases for numerical models. In this work, we present the analytica…

cs.LG2020

Divide and Learn: A Divide and Conquer Approach for Predict+Optimize

Ali Ugur Guler, Emir Demirovic, Jeffrey Chan +3

The predict+optimize problem combines machine learning ofproblem coefficients with a combinatorial optimization prob-lem that uses the predicted coefficients. While this problemcan…

quant-ph2020★ 20 cited

Phase-space methods for representing, manipulating, and correcting Gottesman-Kitaev-Preskill qubits

Lucas J. Mensen, Ben Q. Baragiola, Nicolas C. Menicucci

The Gottesman-Kitaev-Preskill (GKP) encoding of a qubit into a bosonic mode is a promising bosonic code for quantum computation due to its tolerance for noise and all-Gaussian gate…

math.OC2020★ 10 cited

Error bounds revisited

Nguyen Duy Cuong, Alexander Y. Kruger

We propose a unifying general framework of quantitative primal and dual sufficient and necessary error bound conditions covering linear and nonlinear, local and global settings. Th…