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Mateo Wirth
Mateo Wirth
Google Deepmind
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Title
Cited by
Cited by
Year
Gemini: a family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
4852023
Gemma: Open models based on gemini research and technology
G Team, T Mesnard, C Hardin, R Dadashi, S Bhupatiraju, S Pathak, ...
arXiv preprint arXiv:2403.08295, 2024
352024
Percolation for level-sets of Gaussian free fields on metric graphs
J Ding, M Wirth
222020
Maximum of the integer-valued Gaussian free field
M Wirth
arXiv preprint arXiv:1907.08868, 2019
132019
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
112024
Correlation length of the two-dimensional random field Ising model via greedy lattice animal
J Ding, M Wirth
Duke Mathematical Journal 172 (9), 1781-1811, 2023
112023
Crossing estimates from metric graph and discrete GFF
J Ding, M Wirth, H Wu
Annales de l'Institut Henri Poincare (B) Probabilites et statistiques 58 (3 …, 2022
62022
Tree-structured boosting: Connections between gradient boosted stumps and full decision trees
JM Luna, E Eaton, LH Ungar, E Diffenderfer, ST Jensen, ED Gennatas, ...
arXiv preprint arXiv:1711.06793, 2017
42017
Invariant Manifolds of Dynamical Systems and an application to Space Exploration
M Wirth
January, 2014
12014
Some Results on Two-Dimensional Lattice Random Field Models
M Wirth
University of Pennsylvania, 2021
2021
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
J Marcio Luna, E Eaton, LH Ungar, E Diffenderfer, ST Jensen, ...
arXiv e-prints, arXiv: 1711.06793, 2017
2017
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