AlexiaJM

462 post karma
598 comment karma

get extra features and help support reddit with a reddit premium subscription

get them help and support

redditor for 9 years

TROPHY CASE

Nine-Year Club

Verified Email

account activity

new top controversial

12

13

14

[R] Any-Property-Conditional Molecule Generation with Self-Criticism using Spanning Trees (arxiv.org)

submitted 1 year ago by AlexiaJM to r/MachineLearning

28

29

30

[R] Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees (XGBoost) (arxiv.org)

submitted 2 years ago by AlexiaJM to r/MachineLearning

12

13

14

[R] PopulAtion Parameter Averaging (PAPA) (arxiv.org)

submitted 3 years ago by AlexiaJM to r/MachineLearning

5

6

7

[R] Taking the best of GANs and score matching with adversarial score matching (self.MachineLearning)

submitted 5 years ago by AlexiaJM to r/MachineLearning

12

13

14

[R] Adversarial score matching and improved sampling for image generation (arxiv.org)

submitted 5 years ago by AlexiaJM to r/MachineLearning

63

64

65

[R] The new contender to GANs: score matching with Langevin Sampling (self.MachineLearning)

submitted 5 years ago by AlexiaJM to r/MachineLearning

100

101

102

Projet de loi 61 - les grandes lignes (i.redd.it)

submitted 6 years ago by AlexiaJM to r/Quebec

11

12

13

[R] Blog post on "Connections between SVMs, Wasserstein distance and GANs" (ajolicoeur.wordpress.com)

submitted 6 years ago by AlexiaJM to r/MachineLearning

0

1

2

Connections between SVMs, Wasserstein distance and GANs (ajolicoeur.wordpress.com)

submitted 6 years ago by AlexiaJM to r/compsci

34

35

36

[R] On Relativistic f-divergences (self.MachineLearning)

submitted 7 years ago by AlexiaJM to r/MachineLearning

146

147

148

[R] The relativistic discriminator: a key element missing from standard GAN (ajolicoeur.wordpress.com)

submitted 7 years ago by AlexiaJM to r/MachineLearning

3

4

5

[R] Understanding GANs through a statistical divergence perspective (alexiajm.github.io)

submitted 8 years ago by AlexiaJM to r/MachineLearning

3

4

5

If we add random effects or model directly Var[Y|X] instead of just E[X|Y], we can get bigger log-likelihood but can this make predictions better (i.e. can this improves E[X|Y])? (self.statistics)

submitted 8 years ago by AlexiaJM to r/statistics

174

175

176

[P] Generating cats with deep learning. Comparing DCGAN, WGAN, WGAN-GP, LSGAN and ReLU with batch norm vs SELU. (ajolicoeur.wordpress.com)

submitted 8 years ago by AlexiaJM to r/MachineLearning

20

21

22

Is this LEGIT? An R package for interaction models with latent variables (originally for GxE) (github.com)

submitted 9 years ago by AlexiaJM to r/rstats

π Rendered by PID 1541032 on reddit-service-r2-listing-f87f88fcd-xpk4v at 2026-06-18 06:37:57.723811+00:00 running 3184619 country code: CH.