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Gabriel Loaiza-Ganem
Gabriel Loaiza-Ganem
Layer 6 AI
Verified email at layer6.ai - Homepage
Title
Cited by
Cited by
Year
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
G Loaiza-Ganem, JP Cunningham
Advances in Neural Information Processing Systems 32, 2019
942019
Uses and abuses of the cross-entropy loss: Case studies in modern deep learning
E Gordon-Rodriguez, G Loaiza-Ganem, G Pleiss, JP Cunningham
PMLR, 2020
782020
Verifying the Union of Manifolds Hypothesis for Image Data
BCA Brown, AL Caterini, BL Ross, JC Cresswell, G Loaiza-Ganem
International Conference on Learning Representations, 2023
42*2023
Rectangular flows for manifold learning
AL Caterini, G Loaiza-Ganem, G Pleiss, JP Cunningham
Advances in Neural Information Processing Systems 34, 30228-30241, 2021
412021
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
G Stein, JC Cresswell, R Hosseinzadeh, Y Sui, BL Ross, V Villecroze, ...
arXiv preprint arXiv:2306.04675, 2023
342023
Maximum entropy flow networks
G Loaiza-Ganem, Y Gao, JP Cunningham
International Conference on Learning Representations, 2017
302017
CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
JC Cresswell, BL Ross, G Loaiza-Ganem, H Reyes-Gonzalez, M Letizia, ...
arXiv preprint arXiv:2211.15380, 2022
272022
The continuous categorical: a novel simplex-valued exponential family
E Gordon-Rodriguez, G Loaiza-Ganem, J Cunningham
International Conference on Machine Learning, 3637-3647, 2020
252020
Invertible gaussian reparameterization: Revisiting the gumbel-softmax
A Potapczynski, G Loaiza-Ganem, JP Cunningham
Advances in Neural Information Processing Systems 33, 12311-12321, 2020
242020
Diagnosing and fixing manifold overfitting in deep generative models
G Loaiza-Ganem, BL Ross, JC Cresswell, AL Caterini
Transactions on Machine Learning Research, 2022
202022
Entropic issues in likelihood-based ood detection
AL Caterini, G Loaiza-Ganem
I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, 21-26, 2022
132022
Deep random splines for point process intensity estimation of neural population data
G Loaiza-Ganem, S Perkins, K Schroeder, M Churchland, ...
Advances in Neural Information Processing Systems 32, 2019
112019
Neural implicit manifold learning for topology-aware density estimation
BL Ross, G Loaiza-Ganem, AL Caterini, JC Cresswell
Transactions on Machine Learning Research, 2022
8*2022
Bayesian nonparametrics for offline skill discovery
V Villecroze, H Braviner, P Naderian, C Maddison, G Loaiza-Ganem
International Conference on Machine Learning, 22284-22299, 2022
72022
Denoising Deep Generative Models
G Loaiza-Ganem, BL Ross, L Wu, JP Cunningham, JC Cresswell, ...
PMLR, 2023
62023
Relating regularization and generalization through the intrinsic dimension of activations
BCA Brown, J Juravsky, AL Caterini, G Loaiza-Ganem
arXiv preprint arXiv:2211.13239, 2022
32022
Deep Generative Models through the Lens of the Manifold Hypothesis: A Survey and New Connections
G Loaiza-Ganem, BL Ross, R Hosseinzadeh, AL Caterini, JC Cresswell
arXiv preprint arXiv:2404.02954, 2024
22024
A Geometric Explanation of the Likelihood OOD Detection Paradox
H Kamkari, BL Ross, JC Cresswell, AL Caterini, RG Krishnan, ...
arXiv preprint arXiv:2403.18910, 2024
12024
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
Z Liu, N Vouitsis, SK Gorti, J Ba, G Loaiza-Ganem
International Conference on Machine Learning, 2023
12023
On the Normalizing Constant of the Continuous Categorical Distribution
E Gordon-Rodriguez, G Loaiza-Ganem, A Potapczynski, JP Cunningham
arXiv preprint arXiv:2204.13290, 2022
12022
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Articles 1–20