Publications related to On fundamental aspects of quantum extreme learning machines

Related publications (13)

High-resolution predictions of the coolant properties for the 3D PWR core with artificial neural networks based on CTF

PSI and North Carolina State University are developing a high-resolution multi-physics core solver for Pressurized Water Reactor (PWR) analysis in Cartesian geometry, using the neutron transport code nTRACER and two Machine Learning (ML) models providing t ...

2025

Continuous-Time Analysis of Heavy Ball Momentum in Min-Max Games

Volkan Cevher

Since Polyak's pioneering work, heavy ball (HB) momentum has been widely studied in minimization. However, its role in min-max games remains largely unexplored. As a key component of practical min-max algorithms like Adam, this gap limits their effectivene ...

2025

Drone-Based Urban Traffic Monitoring and User Behavior Prediction

Sohyeong Kim

As urban populations continue to expand and vehicle density increases, the need for effective traffic monitoring and management becomes increasingly critical. Urban areas face significant challenges such as growing congestion, safety concerns, and parking ...

EPFL2025

SOGI Interpolated DFT Variant for P and M class Compliance with a two Nominal Period Window

Mario Paolone

An alternative formulation of the second-order generalized integrator (SOGI) IpDFT algorithm is presented to simultaneously comply with both the P and M phasor measurement unit (PMU) performance classes while reducing the observation window from three to t ...

IEEE2024

Almost exact recovery in noisy semi-supervised learning

Maximilien Claude Robert Dreveton

2024.Graph-based semi-supervised learning methods combine the graph structure and labeled data to classify unlabeled data. In this work, we study the effect of a noisy oracle on classification. In particular, we derive the maximum a posteriori (MAP) estima ...

2024

A Predictive Model for Tactile Force Estimation Using Audio-Tactile Data

Dominic Reber, Aude Billard, Ahalya Prabhakar, Loïc Niederhauser

Robust in-hand manipulation of objects with movable content requires estimation and prediction of the contents' motion with enough anticipation to allow time to compensate for resulting internal torques. The quick estimation of the objects' dynamics can be ...

Ieee-Inst Electrical Electronics Engineers Inc2024

A frequency-independent bound on trigonometric polynomials of Gaussians and applications

Wenhao Zhao

We prove a frequency-independent bound on trigonometric functions of a class of singular Gaussian random fields, which arise naturally from weak universality problems for singular stochastic PDEs. This enables us to reduce the regularity assumption on the ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2024

TV-based spline reconstruction with Fourier measurements: Uniqueness and convergence of grid-based methods

Julien René Fageot, Thomas Jean Debarre, Quentin Alain Denoyelle

We study the problem of recovering piecewise-polynomial periodic functions from their low-frequency information. This means that we only have access to possibly corrupted versions of the Fourier samples of the ground truth up to a maximum cutoff frequency ...

ELSEVIER2023

AmadeusGPT: a natural language interface for interactive animal behavioral analysis

Alexander Mathis, Mackenzie Mathis, Shaokai Ye, Jessy Lauer, Mu Zhou

The process of quantifying and analyzing animal behavior involves translating the naturally occurring descriptive language of their actions into machine-readable code. Yet, codifying behavior analysis is often challenging without deep understanding of anim ...

2023

Stochastic Approximation of Variational Quantum Imaginary Time Evolution

Giuseppe Carleo

The imaginary-time evolution of quantum states is integral to various fields, ranging from natural sciences to classical optimization or machine learning. Since simulating quantum imaginary-time evolution generally requires storing an exponentially large w ...

Institute of Electrical and Electronics Engineers Inc.2023

Low-temperature non-equilibrium synthesis of anisotropic multimetallic nanosurface alloys for electrochemical CO2 reduction

Andreas Züttel, Emad Oveisi, Mo Li, Jie Zhang, Cedric David Koolen

Multimetallic nanoparticles are of interest as functional materials due to their highly tunable properties. However, synthesizing congruent mixtures of immiscible components is limited by the need for high-temperature procedures followed by rapid quenching ...

Springernature2023

Model-Agnostic Learning to Meta-Learn

Yatin Dandi, Arnout Jan J Devos

In this paper, we propose a learning algorithm that enables a model to quickly exploit commonalities among related tasks from an unseen task distribution, before quickly adapting to specific tasks from that same distribution. We investigate how learning wi ...

PMLR2021

Work-in-Progress: A Machine Learning-Based Approach for Power and Thermal Management of Next-Generation Video Coding on MPSoCs

David Atienza Alonso, Marina Zapater Sancho, Arman Iranfar

2017