E-LIB Suche - Ergebnisse für: Gasse, Maxime

1

Using Confounded Data in Latent Model-Based Reinforcement L..:

Gasse, Maxime ; Grasset, Damien ; Gaudron, Guillaume.
hal-04404106. , 2023

Link: https://inria.hal.scienc..

2

A Deep Learning Framework for Spatiotemporal Ultrasound Loc..:

Milecki, Léo ; Porée, Jonathan ; Belgharbi, Hatim...
http://arxiv.org/abs/2310.08143. , 2023

Link: http://arxiv.org/abs/231..

3

The Machine Learning for Combinatorial Optimization Competi..:

Gasse, Maxime ; Cappart, Quentin ; Charfreitag, Jonas...
http://arxiv.org/abs/2203.02433. , 2022

Link: http://arxiv.org/abs/220..

4

Learning to branch with Tree MDPs:

Scavuzzo, Lara ; Chen, Feng Yang ; Chételat, Didier...
http://arxiv.org/abs/2205.11107. , 2022

Link: http://arxiv.org/abs/220..

5

Lookback for Learning to Branch:

Gupta, Prateek ; Khalil, Elias B ; Chetélat, Didier...
http://arxiv.org/abs/2206.14987. , 2022

Link: http://arxiv.org/abs/220..

6

On generalized surrogate duality in mixed-integer nonlinear..:

Müller, Benjamin ; Muñoz, Gonzalo ; Gasse, Maxime...
https://publications.polymtl.ca/9256/1/2021_M%C3%BCller_On_generalized_surrogate_duality_mixed-integer.pdf. , 2022

Link: https://publications.pol..

7

On generalized surrogate duality in mixed-integer nonlinear..:

Müller, Benjamin ; Muñoz, Gonzalo ; Gasse, Maxime...
https://opus4.kobv.de/opus4-htw/frontdoor/index/index/docId/1674. , 2021

Link: https://opus4.kobv.de/op..

8

Causal Reinforcement Learning using Observational and Inter..:

Gasse, Maxime ; Grasset, Damien ; Gaudron, Guillaume.
http://arxiv.org/abs/2106.14421. , 2021

Link: http://arxiv.org/abs/210..

9

Ecole: A Library for Learning Inside MILP Solvers:

Prouvost, Antoine ; Dumouchelle, Justin ; Gasse, Maxime..
http://arxiv.org/abs/2104.02828. , 2021

Link: http://arxiv.org/abs/210..

10

Causal Reinforcement Learning using Observational and Inter..:

Gasse, Maxime ; Grasset, Damien ; Gaudron, Guillaume.
hal-03465488. , 2021

Link: https://inria.hal.scienc..

11

Causal Reinforcement Learning using Observational and Inter..:

Gasse, Maxime ; Grasset, Damien ; Gaudron, Guillaume.
hal-03465488. , 2021

Link: https://hal.inria.fr/hal..

12

The SCIP Optimization Suite 7.0:

Gamrath, Gerald ; Anderson, Daniel ; Bestuzheva, Ksenia...
Gamrath , G , Anderson , D , Bestuzheva , K , Chen , W-K , Eifler , L , Gasse , M , Gemander , P , Gleixner , A , Gottwald , L , Halbig , K , Hendel , G , Hojny , C , Koch , T , Le Bodic , P , Maher , S J , Matter , F , Miltenberger , M , Mühmer , E , Müller , B , Pfetsch , M E , Schlösser , F , Serrano , F , Shinano , Y , Tawfik , C , Vigerske , S , Wegscheider , F , Weninger , D & Witzig , J 2020 , The SCIP Optimization Suite 7.0 . ZIB-Report , vol. 20-10 , Zuse Institut Berlin , Berlin .. , 2020

Link: https://research.tue.nl/..

13

Ecole: A Gym-like Library for Machine Learning in Combinato..:

Prouvost, Antoine ; Dumouchelle, Justin ; Scavuzzo, Lara...
http://arxiv.org/abs/2011.06069. , 2020

Link: http://arxiv.org/abs/201..

14

The SCIP Optimization Suite 7.0:

Gamrath, Gerald ; Anderson, Daniel ; Bestuzheva, Ksenia...
https://opus4.kobv.de/opus4-zib/frontdoor/index/index/docId/7802. , 2020

Link: https://opus4.kobv.de/op..

15

Hybrid Models for Learning to Branch:

Gupta, Prateek ; Gasse, Maxime ; Khalil, Elias B...
http://arxiv.org/abs/2006.15212. , 2020

Link: http://arxiv.org/abs/200..