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2020 – today
- 2023
[c7]Alex Auvolat
, Yérom-David Bromberg, Davide Frey, Djob Mvondo, François Taïani:
Basalt: A Rock-Solid Byzantine-Tolerant Peer Sampling for Very Large Decentralized Networks. Middleware 2023: 111-123- [i7]Mendes Oulamara, Alex Auvolat:
An algorithm for geo-distributed and redundant storage in Garage. CoRR abs/2302.13798 (2023) - 2021
- [b1]Alex Auvolat:
Probabilistic methods for collaboration systems in large-scale trustless networks. (Méthodes probabilistes pour les systèmes collaboratifs dans les réseaux large-échelle sans confiance). University of Rennes 1, France, 2021 - [j3]Alex Auvolat, Davide Frey, Michel Raynal, François Taïani:
Byzantine-tolerant causal broadcast. Theor. Comput. Sci. 885: 55-68 (2021) - [i6]Alex Auvolat, Yérom-David Bromberg, Davide Frey, François Taïani:
BASALT: A Rock-Solid Foundation for Epidemic Consensus Algorithms in Very Large, Very Open Networks. CoRR abs/2102.04063 (2021) - 2020
- [j2]Alex Auvolat, Davide Frey, Michel Raynal, François Taïani:
Money Transfer Made Simple: a Specification, a Generic Algorithm, and its Proof. Bull. EATCS 132 (2020) - [j1]Jean-Dominique Favreau, Florent Lafarge, Adrien Bousseau, Alex Auvolat:
Extracting Geometric Structures in Images with Delaunay Point Processes. IEEE Trans. Pattern Anal. Mach. Intell. 42(4): 837-850 (2020) - [c6]Fabien Coulon, Alex Auvolat, Benoît Combemale, Yérom-David Bromberg, François Taïani, Olivier Barais, Noël Plouzeau:
Modular and distributed IDE. SLE 2020: 270-282 - [i5]Alex Auvolat, Davide Frey, Michel Raynal, François Taïani:
Money Transfer Made Simple. CoRR abs/2006.12276 (2020)
2010 – 2019
- 2019
- [c5]Alex Auvolat, Michel Raynal, François Taïani:
Byzantine-Tolerant Set-Constrained Delivery Broadcast. OPODIS 2019: 6:1-6:23 - [c4]Alex Auvolat, François Taïani:
Merkle Search Trees: Efficient State-Based CRDTs in Open Networks. SRDS 2019: 221-230 - [c3]Alex Auvolat:
Making Federated Networks More Distributed. SRDS 2019: 383-384 - 2017
- [c2]Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio:
Diet Networks: Thin Parameters for Fat Genomics. ICLR (Poster) 2017 - 2016
- [i4]Gabriel Synnaeve, Nantas Nardelli, Alex Auvolat, Soumith Chintala, Timothée Lacroix, Zeming Lin, Florian Richoux, Nicolas Usunier:
TorchCraft: a Library for Machine Learning Research on Real-Time Strategy Games. CoRR abs/1611.00625 (2016) - [i3]Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio:
Diet Networks: Thin Parameters for Fat Genomic. CoRR abs/1611.09340 (2016) - 2015
- [c1]Alexandre de Brébisson, Étienne Simon, Alex Auvolat, Pascal Vincent, Yoshua Bengio:
Artificial Neural Networks Applied to Taxi Destination Prediction. DC@PKDD/ECML 2015 - [i2]Alex Auvolat, Pascal Vincent:
Clustering is Efficient for Approximate Maximum Inner Product Search. CoRR abs/1507.05910 (2015) - [i1]Alexandre de Brébisson, Étienne Simon, Alex Auvolat, Pascal Vincent, Yoshua Bengio:
Artificial Neural Networks Applied to Taxi Destination Prediction. CoRR abs/1508.00021 (2015)
Coauthor Index
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