Concept
Bias (statistics)
Related publications (63)
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 ...
2024Unbiasing time-dependent Variational Monte Carlo by projected quantum evolution
Giuseppe Carleo, Clemens Giuliani, Alessandro Sinibaldi, Filippo Vicentini
We analyze the accuracy and sample complexity of variational Monte Carlo approaches to simulate the dynamics of many-body quantum systems classically. By systematically studying the relevant stochastic estimators, we are able to: (i) prove that the most us ...
Wien2023Educating Engineering Students to Address Bias and Discrimination Within Their Project Teams
Roland John Tormey, Siara Ruth Isaac, Nihat Kotluk
What training should engineering students receive to enable them to contribute to reducing bias, discrimination and the persistent lack of diversity in engineering? Collaboration is central to professional engineering work and, consequently, teamwork and g ...
2023Penalising the biases in norm regularisation enforces sparsity
Nicolas Henri Bernard Flammarion, Etienne Patrice Boursier
Controlling the parameters' norm often yields good generalisation when training neural networks. Beyond simple intuitions, the relation between parameters' norm and obtained estimators theoretically remains misunderstood. For one hidden ReLU layer networks ...
2023Perturbation theory models for LSST-era galaxy clustering: Tests with subpercent mock catalog measurements in Fourier and configuration space
We analyze the clustering of galaxies using the z = 1.006 snapshot of the CosmoDC2 simulation, a high-fidelity synthetic galaxy catalog designed to validate analysis methods for the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). We prese ...
AMER PHYSICAL SOC2022An automatized method to determine latencies of motor-evoked potentials under physiological and pathophysiological conditions
Friedhelm Christoph Hummel, Takuya Morishita, Pierre Theopistos Vassiliadis, Claudia Bigoni, Andéol Geoffroy Cadic-Melchior
Background. Latencies of motor evoked potentials (MEPs) can provide insights into the motor neuronal pathways activated by transcranial magnetic stimulation. Notwithstanding its clinical relevance, accurate, unbiased methods to automatize latency detection ...
IOP Publishing Ltd2022Controlling the rotation of drift tearing modes by biased electrode in ADITYA-U tokamak
Harshita Raj, Ankit Kumar, Abhijit Sen, Rohit Kumar, Sameer Kumar
The influence of background plasma poloidal rotation on the rotation frequency of the m/n = 2/1 drift tearing mode (DTM) has been studied in ADITYA-U tokamak. The poloidal rotation velocity of the background plasma in the ion diamagnetic direction is incre ...
2021Monte Carlo Estimators for Differential Light Transport
Wenzel Alban Jakob, Tizian Lucien Zeltner, Sébastien Nicolas Speierer
Physically based differentiable rendering algorithms propagate derivatives through realistic light transport simulations and have applications in diverse areas including inverse reconstruction and machine learning. Recent progress has led to unbiased metho ...
ASSOC COMPUTING MACHINERY2021Countering Bias in Personalized Rankings From Data Engineering to Algorithm Development
This tutorial presents recent advances on the assessment and mitigation of data and algorithmic bias in personalized rankings. We first introduce fundamental concepts and definitions associated with bias issues, covering the state of the art and describing ...
IEEE COMPUTER SOC2021Advances in Bias-aware Recommendation on the Web
The goal of this tutorial is to provide the WSDM community with recent advances on the assessment and mitigation of data and algorithmic bias in recommender systems. We first introduce conceptual foundations, by presenting the state of the art and describi ...
ASSOC COMPUTING MACHINERY2021