Concept
Negative binomial distribution
Related publications (136)
TIC-TAC: A Framework for Improved Covariance Estimation in Deep Heteroscedastic Regression
Mathieu Salzmann, Alexandre Massoud Alahi, Megh Hiren Shukla
Deep heteroscedastic regression involves jointly optimizing the mean and covariance of the predicted distribution using the negative log-likelihood. However, recent works show that this may result in sub-optimal convergence due to the challenges associated ...
2024Beyond the ultradeep frontier fields and legacy observations (BUFFALO): a high-resolution strong plus weak-lensing view of Abell 370
David Richard Harvey, Mathilde Jauzac
The HST treasury programme BUFFALO provides extended wide-field imaging of the six Hubble Frontier Fields galaxy clusters. Here we present the combined strong and weak-lensing analysis of Abell 370, a massive cluster at z = 0.375. From the reconstructed to ...
OXFORD UNIV PRESS2023Two antagonistic response regulators control Pseudomonas aeruginosa polarization during mechanotaxis
Alexandre Louis André Persat, Lorenzo Anton-Louis Talà, Xavier Jean-Yves Pierrat, Joanne Netter Engel, Marco Julian Kühn
The opportunistic pathogen Pseudomonas aeruginosa adapts to solid surfaces to enhance virulence and infect its host. Type IV pili (T4P), long and thin filaments that power surface-specific twitching motility, allow single cells to sense surfaces and contro ...
WILEY2023Dynamics of Dual-Mode Bedload Transport With Three-Dimensional Alternate Bars Migration in Subcritical Flow: Experiments and Model Analysis
Mehrdad Kiani Oshtorjani, Zhipeng Li, Yong Zhang
Bedload transport often exhibits dual-mode behavior due to interactions of spatiotemporal controlling factors with the migrating three-dimensional bedforms (characterized by the fully developed patterns in the bed, such as alternate bars, pools, and cluste ...
AMER GEOPHYSICAL UNION2023Adaptive Fingers Coordination for Robust Grasp and In-Hand Manipulation Under Disturbances and Unknown Dynamics
Aude Billard, Farshad Khadivar
We present a control framework for achieving a robust object grasp and manipulation in hand. In-hand manipulation remains a demanding task as the object is never stable and task success relies on carefully synchronizing the fingers' dynamics. Indeed, finge ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023Bimanual dynamic grabbing and tossing of objects onto a moving target
Aude Billard, Michael Bosongo Bombile
Bimanual grabbing and tossing of packages onto trays or conveyor belts remains a human activity in the industry. For robots, such a dynamic task requires coordination between two arms and fast adaptation abilities when the tossing target is moving and subj ...
2023Regularization for distributionally robust state estimation and prediction
Giancarlo Ferrari Trecate, Florian Dörfler, Jean-Sébastien Hubert Brouillon
The increasing availability of sensing techniques provides a great opportunity for engineers to design state estimation methods, which are optimal for the system under observation and the observed noise patterns. However, these patterns often do not fulfil ...
2023Multiplicative chaos of the Brownian loop soup
Antoine Pierre François Jego, Titus Lupu
We construct a measure on the thick points of a Brownian loop soup in a bounded domain D of the plane with given intensity theta>0, which is formally obtained by exponentiating the square root of its occupation field. The measure is construct ...
WILEY2023Leveraging species distribution models to predict the impact of climate change on glacier-fed stream biofilms
Tom Ian Battin, Hannes Markus Peter, Susheel Bhanu Busi, Grégoire Marie Octave Edouard Michoud, Leïla Ezzat, Massimo Bourquin, Andrew Lean Robison, Tyler Joe Kohler, Stylianos Fodelianakis
Owing to climate changes, glaciers and ice sheets are rapidly shrinking worldwide, altering the geophysical properties of many ecosystems. In this context, glacier-fed streams are expected to undergo major physical and chemical modifications in the future. ...
2022Minimax rate for optimal transport regression between distributions
Victor Panaretos, Laya Ghodrati
Distribution-on-distribution regression considers the problem of formulating and es-timating a regression relationship where both covariate and response are probability distributions. The optimal transport distributional regression model postulates that th ...
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