activity
20152023
most citedArtificial Neural Networks Applied to Taxi Destination Prediction

140 citations · 262 across the 7 of their papers we have counts for

collaborators

7 papers

cs.DS2023

An algorithm for geo-distributed and redundant storage in Garage

Mendes Oulamara, Alex Auvolat

This paper presents an optimal algorithm to compute the assignment of data to storage nodes in the Garage geo-distributed storage system. We discuss the complexity of the different…

cs.CR2021

: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks

Alex Auvolat, Yérom-David Bromberg, Davide Frey +1

Recent works have proposed new Byzantine consensus algorithms for blockchains based on epidemics, a design which enables highly scalable performance at a low cost. These methods ho…

cs.DC2020★ 3 cited

Money Transfer Made Simple: a Specification, a Generic Algorithm, and its Proof

Alex Auvolat, Davide Frey, Michel Raynal +1

It has recently been shown that, contrarily to a common belief, money transfer in the presence of faulty (Byzantine) processes does not require strong agreement such as consensus.…

cs.LG2016★ 85 cited

TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games

Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat +5

We present TorchCraft, a library that enables deep learning research on Real-Time Strategy (RTS) games such as StarCraft: Brood War, by making it easier to control these games from…

cs.LG2016★ 10 cited

Diet Networks: Thin Parameters for Fat Genomics

Adriana Romero, Pierre Luc Carrier, Akram Erraqabi +7

Learning tasks such as those involving genomic data often poses a serious challenge: the number of input features can be orders of magnitude larger than the number of training exam…

cs.LG2015★ 140 cited

Artificial Neural Networks Applied to Taxi Destination Prediction

Alexandre de Brébisson, Étienne Simon, Alex Auvolat +2

We describe our first-place solution to the ECML/PKDD discovery challenge on taxi destination prediction. The task consisted in predicting the destination of a taxi based on the be…

cs.LG2015★ 24 cited

Clustering is Efficient for Approximate Maximum Inner Product Search

Alex Auvolat, Sarath Chandar, Pascal Vincent +2

Efficient Maximum Inner Product Search (MIPS) is an important task that has a wide applicability in recommendation systems and classification with a large number of classes. Soluti…