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Generative Trees: Adversarial and Copycat
v1v2 (latest)

Generative Trees: Adversarial and Copycat

International Conference on Machine Learning (ICML), 2022
26 January 2022
Richard Nock
Mathieu Guillame-Bert
ArXiv (abs)PDFHTML

Papers citing "Generative Trees: Adversarial and Copycat"

4 / 4 papers shown
NRGBoost: Energy-Based Generative Boosted Trees
NRGBoost: Energy-Based Generative Boosted TreesInternational Conference on Learning Representations (ICLR), 2024
João Bravo
442
1
0
04 Oct 2024
OF-AE: Oblique Forest AutoEncoders
OF-AE: Oblique Forest AutoEncodersArtificial Intelligence Applications and Innovations (AIAI), 2023
C. Alecsa
189
0
0
02 Jan 2023
The Forward-Forward Algorithm: Some Preliminary Investigations
The Forward-Forward Algorithm: Some Preliminary Investigations
Geoffrey E. Hinton
279
391
0
27 Dec 2022
TabDDPM: Modelling Tabular Data with Diffusion Models
TabDDPM: Modelling Tabular Data with Diffusion ModelsInternational Conference on Machine Learning (ICML), 2022
Akim Kotelnikov
Dmitry Baranchuk
Ivan Rubachev
Artem Babenko
DiffM
376
490
0
30 Sep 2022
1
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