Concept
Pink noise
Related publications (396)
Exploiting the Signal-Leak Bias in Diffusion Models
Sabine Süsstrunk, Radhakrishna Achanta, Mahmut Sami Arpa, Martin Nicolas Everaert, Athanasios Fitsios
There is a bias in the inference pipeline of most diffusion models. This bias arises from a signal leak whose distribution deviates from the noise distribution, creating a discrepancy between training and inference processes. We demonstrate that this signa ...
2024Global existence for perturbations of the 2D stochastic Navier-Stokes equations with space-time white noise
We prove global in time well-posedness for perturbations of the 2D stochastic Navier-Stokes equations partial derivative( t)u + u center dot del u = Delta u - del p + sigma + xi, u(0, center dot ) = u(0),div (u) = 0, driven by additive space-time white noi ...
London2024An Ultralow-Power Triaxial MEMS Accelerometer With High-Voltage Biasing and Electrostatic Mismatch Compensation
Kyojin Choo, Li Xu, Yimai Peng
This article presents a triaxial micro electromechani-cal system (MEMS) capacitive accelerometer using a high-voltage biasing technique to achieve high resolution with ultralow power. The accelerometer system generates a differential pair of high voltages ...
Piscataway2024Roughness Evolution Induced by Third-Body Wear
Jean-François Molinari, Antonio Joaquin Garcia Suarez, Tobias Brink
Surface roughness is a key factor when it comes to friction and wear, as well as to other physical properties. These phenomena are controlled by mechanisms acting at small scales, in which the topography of apparently flat surfaces is revealed. Roughness i ...
New York2024The Privacy Power of Correlated Noise in Decentralized Learning
Rachid Guerraoui, Martin Jaggi, Anastasiia Koloskova, Youssef Allouah, Aymane El Firdoussi
Decentralized learning is appealing as it enables the scalable usage of large amounts of distributed data and resources (without resorting to any central entity), while promoting privacy since every user minimizes the direct exposure of their data. Yet, wi ...
PMLR2024Noise-induced transitions past the onset of a steady symmetry-breaking bifurcation: The case of the sudden expansion
François Gallaire, Edouard Boujo, Yves-Marie François Ducimetière
We consider fluid flows, governed by the Navier-Stokes equations, subject to a steady symmetry-breaking bifurcation and forced by a weak noise acting on a slow timescale. By generalizing the multiple-scale weakly nonlinear expansion technique employed in t ...
2024THE COMPACT SUPPORT PROPERTY FOR SOLUTIONS TO THE STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS WITH COLORED NOISE
We study the compact support property for solutions of the following stochastic partial differential equations: partial derivative tu=aijuxixj(t,x)+biuxi(t,x)+cu+h(t,x,u(t,x))F-center dot(t,x),(t,x)is an element of(0,infinity)xRd,where F-center dot is a sp ...
Philadelphia2023SoDaCam: Software-defined Cameras via Single-Photon Imaging
Edoardo Charbon, Andrei Ardelean, Mohit Gupta
Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon devices. Photon ...
Ieee Computer Soc2023Arbitrary Decisions are a Hidden Cost of Differentially Private Training
Carmela González Troncoso, Bogdan Kulynych
Mechanisms used in privacy-preserving machine learning often aim to guarantee differential privacy (DP) during model training. Practical DP-ensuring training methods use randomization when fitting model parameters to privacy-sensitive data (e.g., adding Ga ...
New York2023Millimeter-wave to near-terahertz sensors based on reversible insulator-to-metal transition in VO2
Mihai Adrian Ionescu, Teodor Rosca, Fatemeh Qaderi Rahaqi
In the quest for low power bio-inspired spiking sensors, functional oxides like vanadium dioxide are expected to enable future energy efficient sensing. Here, we report uncooled millimeter-wave spiking detectors based on the sensitivity of insulator-to-met ...
SPRINGERNATURE2023