Gabriel Loaiza-Ganem
14 papers · 2019–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (4) 🐝 Cross-Pollinator (14)
🌍
Conference Polyglot
(4)
🏃
Academic Marathon
(6)
👑
Triple Crown
🧬
Topic Evolution
🗃️
Keyword Collector
(51)
💎
Century Club
(14)
🔥
Unstoppable
(7)
Conferences
NIPS (6)
ICML (4)
ICLR (3)
CVPR (1)
Top co-authors
Keywords
variational inference
(3)
generative model
(3)
normalizing flow
(2)
variational autoencoder
(2)
reparameterization trick
(2)
image generation
(2)
diffusion model
(2)
latent space
(2)
maximum likelihood
(1)
efficient computing
(1)
manifold learning
(1)
audio-text retrieval
(1)
offline reinforcement learning
(1)
gaussian process
(1)
conditional generation
(1)
embedding learning
(1)
probabilistic modeling
(1)
skill discovery
(1)
neural population
(1)
exponential family
(1)
Papers
A Geometric Framework for Understanding Memorization in Generative Models
ICLR 2025
A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion Models
NIPS 2024
Data-Efficient Multimodal Fusion on a Single GPU
CVPR 2024
A Geometric Explanation of the Likelihood OOD Detection Paradox
ICML 2024
Verifying the Union of Manifolds Hypothesis for Image Data
ICLR 2023
TR0N: Translator Networks for 0-Shot Plug-and-Play Conditional Generation
ICML 2023
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models
NIPS 2023
Bayesian Nonparametrics for Offline Skill Discovery
ICML 2022
C-Learning: Horizon-Aware Cumulative Accessibility Estimation
ICLR 2021
Rectangular Flows for Manifold Learning
NIPS 2021
The continuous categorical: a novel simplex-valued exponential family
ICML 2020
Invertible Gaussian Reparameterization: Revisiting the Gumbel-Softmax
NIPS 2020
Deep Random Splines for Point Process Intensity Estimation of Neural Population Data
NIPS 2019
The continuous Bernoulli: fixing a pervasive error in variational autoencoders
NIPS 2019