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Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Nicolas Henri Bernard Flammarion, Hristo Georgiev Papazov, Scott William Pesme

In this work, we investigate the effect of momentum on the optimisation trajectory of gradient descent. We leverage a continuous-time approach in the analysis of momentum gradient descent with step size

\gamma

and momentum parameter

\beta

that allows u ...

2024

Information engineering

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Impact of beam-coupling impedance on the Schottky spectrum of bunched beam

Machine learning-aided generative molecular design

A 0.14-nJ/b 200-Mb/s 2.7-3.5-GHz Quasi-Balanced FSK Transceiver With PLL-Based Modulation and Sideband Energy Detection

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

A Gradient-Gated SPAD Array for Non-Line-of-Sight Imaging

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints

High-Throughput and Flexible Belief Propagation List Decoder for Polar Codes

Impact of beam-coupling impedance on the Schottky spectrum of bunched beam

Machine learning-aided generative molecular design

An aircraft assembly process formalism and verification method based on semantic modeling and MBSE

Verification of the Fourier-enhanced 3D finite element Poisson solver of the gyrokinetic full-f code PICLS

Task-driven neural network models predict neural dynamics of proprioception: Experimental data, activations and predictions of neural network models

A 0.14-nJ/b 200-Mb/s 2.7-3.5-GHz Quasi-Balanced FSK Transceiver With PLL-Based Modulation and Sideband Energy Detection

A Gradient-Gated SPAD Array for Non-Line-of-Sight Imaging

High-Throughput and Flexible Belief Propagation List Decoder for Polar Codes

Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks

Violation-aware contextual Bayesian optimization for controller performance optimization with unmodeled constraints