Anthony L. Caterini | DeepAI

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∙ 06/07/2023

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

We systematically study a wide variety of image-based generative models ...

0 George Stein, et al. ∙

∙ 11/30/2022

Denoising Deep Generative Models

Likelihood-based deep generative models have recently been shown to exhi...

0 Gabriel Loaiza-Ganem, et al. ∙

∙ 11/23/2022

Relating Regularization and Generalization through the Intrinsic Dimension of Activations

Given a pair of models with similar training set performance, it is natu...

0 Bradley C. A. Brown, et al. ∙

∙ 07/06/2022

The Union of Manifolds Hypothesis and its Implications for Deep Generative Modelling

Deep learning has had tremendous success at learning low-dimensional rep...

0 Bradley C. A. Brown, et al. ∙

∙ 06/22/2022

Neural Implicit Manifold Learning for Topology-Aware Generative Modelling

Natural data observed in ℝ^n is often constrained to an m-dimensional ma...

0 Brendan Leigh Ross, et al. ∙

∙ 04/14/2022

Diagnosing and Fixing Manifold Overfitting in Deep Generative Models

Likelihood-based, or explicit, deep generative models use neural network...

23 Gabriel Loaiza-Ganem, et al. ∙

∙ 09/22/2021

Entropic Issues in Likelihood-Based OOD Detection

Deep generative models trained by maximum likelihood remain very popular...

0 Anthony L. Caterini, et al. ∙

∙ 06/02/2021

Rectangular Flows for Manifold Learning

Normalizing flows are invertible neural networks with tractable change-o...

0 Anthony L. Caterini, et al. ∙

∙ 11/24/2020

C-Learning: Horizon-Aware Cumulative Accessibility Estimation

Multi-goal reaching is an important problem in reinforcement learning ne...

0 Panteha Naderian, et al. ∙

∙ 09/30/2019

Localised Generative Flows

We argue that flow-based density models based on continuous bijections a...

7 Rob Cornish, et al. ∙

∙ 05/29/2018

Hamiltonian Variational Auto-Encoder

Variational Auto-Encoders (VAEs) have become very popular techniques to ...

0 Anthony L. Caterini, et al. ∙

∙ 08/15/2016

A Geometric Framework for Convolutional Neural Networks

In this paper, a geometric framework for neural networks is proposed. Th...

0 Anthony L. Caterini, et al. ∙

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