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20192026
most citedUnraveling the Hidden Environmental Impacts of AI Solutions for Environment

180 citations

Showing 2020Show all

19 papers · 1 filter

physics.flu-dyn2020★ 32 cited

Direct numerical simulations of transient turbulent jets: vortex-interface interactions

Cristian R. Constante-Amores, Lyes Kahouadji, Assen Batchvarov +4

The breakup of an interface into a cascade of droplets and their subsequent coalescence is a generic problem of central importance to a large number of industrial settings such as…

astro-ph.CO2020★ 22 cited

Encoding large scale cosmological structure with Generative Adversarial Networks

Marion Ullmo, Aurélien Decelle, Nabila Aghanim

Recently a type of neural networks called Generative Adversarial Networks (GANs) has been proposed as a solution for fast generation of simulation-like datasets, in an attempt to b…

eess.AS2020★ 5 cited

A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery

Bolaji Yusuf, Lucas Ondel, Lukas Burget +2

In this work, we propose a hierarchical subspace model for acoustic unit discovery. In this approach, we frame the task as one of learning embeddings on a low-dimensional phonetic…

cs.HC2020★ 26 cited

Molecumentary: Scalable Narrated Documentaries Using Molecular Visualization

David Kouřil, Ondřej Strnad, Peter Mindek +4

We present a method for producing documentary-style content using real-time scientific visualization. We produce molecumentaries, i.e., molecular documentaries featuring structural…

cond-mat.dis-nn2020★ 79 cited

Restricted Boltzmann Machine, recent advances and mean-field theory

Aurélien Decelle, Cyril Furtlehner

This review deals with Restricted Boltzmann Machine (RBM) under the light of statistical physics. The RBM is a classical family of Machine learning (ML) models which played a centr…

physics.flu-dyn2020

The transition to aeration in two-phase mixing in stirred vessels

Lyes Kahouadji, Assen Batchvarov, Cristian R. Constante Amores +5

We consider the mixing of a viscous fluid by the rotation of a pitched blade turbine inside an open, cylindrical tank, with air as the lighter fluid above. To examine the flow and…

physics.flu-dyn2020★ 49 cited

Stabilization of the fluidic pinball with gradient-enriched machine learning control

Guy Y. Cornejo Maceda, Yiqing Li, François Lusseyran +2

We stabilize the flow past a cluster of three rotating cylinders, the fluidic pinball, with automated gradient-enriched machine learning algorithms. The control laws command the ro…

gr-qc2020★ 2 cited

On quantum superpositions of graphs, no-signalling and covariance

Pablo Arrighi, Marios Christodoulou, Amélia Durbec

We provide a mathematically and conceptually robust notion of quantum superpositions of graphs. We argue that, crucially, quantum superpositions of graphs require node names for th…

cs.LG2020★ 40 cited

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking

Laurent Meunier, Herilalaina Rakotoarison, Pak Kan Wong +5

Existing studies in black-box optimization for machine learning suffer from low generalizability, caused by a typically selective choice of problem instances used for training and…

cs.NI2020★ 28 cited

Energy Efficient Resource Allocation Optimization in Fog Radio Access Networks with Outdated Channel Knowledge

Thi Ha Ly Dinh, Megumi Kaneko, Ellen Hidemi Fukuda +1

Fog Radio Access Networks (F-RAN) are gaining worldwide interests for enabling mobile edge computing for Beyond 5G. However, to realize the future real-time and delay-sensitive app…

cond-mat.supr-con2020★ 3 cited

A model for hot spots and Q-slope in granular Niobium thin film superconducting RF cavities

Aymeric Ramiere, Claire Z. Antoine, Jay Amrit

We propose a model to explain power dissipation leading to the formation of hot spots in the inner walls of niobium thin film superconducting RF cavities. The physical mechanism th…

math.CO2020

Permutree sorting

Vincent Pilaud, Viviane Pons, Daniel Tamayo Jiménez

Generalizing stack sorting and -sorting for permutations, we define the permutree sorting algorithm. Given two disjoint subsets and of , the -p…

physics.flu-dyn2020★ 52 cited

Dynamics of a surfactant-laden bubble bursting through an interface

C. R. Constante-Amores, L. Kahouadji, A. Batchvarov +4

We study the effect of surfactant on the dynamics of a bubble bursting through an interface. We perform fully three-dimensional direct numerical simulations using a hybrid interfac…

cs.AR2020★ 1 cited

Comparing quaternary and binary multipliers

Daniel Etiemble

We compare the implementation of a 8x8 bit multiplier with two different implementations of a 4x4 quaternary digit multiplier. Interfacing this binary multiplier with quaternary to…

cs.AR2020★ 1 cited

Best implementations of quaternary adders

Daniel Etiemble

The implementation of a quaternary 1-digit adder composed of a 2-bit binary adder, quaternary to binary decoders and binary to quaternary encoders is compared with several recent i…

physics.flu-dyn2020★ 10 cited

Coherent structure identification in turbulent channel flow using Latent Dirichlet Allocation

Mohamed Frihat, Bérengère Podvin, Lionel Mathelin +2

Identification of coherent structures is an essential step to describe and model turbulence generation mechanisms in wall-bounded flows. To this end we present a clustering method…

cs.HC2020★ 14 cited

The Missing Path: Analysing Incompleteness in Knowledge Graphs

Marie Destandau, Jean-Daniel Fekete

Knowledge Graphs (KG) allow to merge and connect heterogeneous data despite their differences; they are incomplete by design. Yet, KG data producers need to ensure the best level o…

cs.DC2020

The Topology of Local Computing in Networks

Pierre Fraigniaud, Ami Paz

Modeling distributed computing in a way enabling the use of formal methods is a challenge that has been approached from different angles, among which two techniques emerged at the…

math.ST2020★ 18 cited

A graph clustering approach to localization for adaptive covariance tuning in data assimilation based on state-observation mapping

Sibo Cheng, Jean-Philippe Argaud, Bertrand Iooss +2

An original graph clustering approach to efficient localization of error covariances is proposed within an ensemble-variational data assimilation framework. Here the localization t…