Sander Dieleman | DeepAI

AI Chat

Featured Co-authors

Yoshua Bengio
448 publications
Kyunghyun Cho
218 publications
Andrew Zisserman
187 publications
Joshua B. Tenenbaum
180 publications
Aaron Courville
152 publications
Ying Zhang
107 publications
Arnaud Doucet
106 publications
Oriol Vinyals
101 publications
Pushmeet Kohli
93 publications
Razvan Pascanu
87 publications
Chris Dyer
79 publications

∙ 02/22/2023

Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC

Since their introduction, diffusion models have quickly become the preva...

0 Yilun Du, et al. ∙

∙ 11/28/2022

Continuous diffusion for categorical data

Diffusion models have quickly become the go-to paradigm for generative m...

0 Sander Dieleman, et al. ∙

∙ 11/08/2022

Self-conditioned Embedding Diffusion for Text Generation

Can continuous diffusion models bring the same performance breakthrough ...

1 Robin Strudel, et al. ∙

∙ 10/26/2022

Categorical SDEs with Simplex Diffusion

Diffusion models typically operate in the standard framework of generati...

0 Pierre H. Richemond, et al. ∙

∙ 02/15/2022

General-purpose, long-context autoregressive modeling with Perceiver AR

Real-world data is high-dimensional: a book, image, or musical performan...

2 Curtis Hawthorne, et al. ∙

∙ 11/23/2021

Towards Learning Universal Audio Representations

The ability to learn universal audio representations that can solve dive...

0 Luyu Wang, et al. ∙

∙ 03/10/2021

Variable-rate discrete representation learning

Semantically meaningful information content in perceptual signals is usu...

0 Sander Dieleman, et al. ∙

∙ 03/05/2021

Generating Images with Sparse Representations

The high dimensionality of images presents architecture and sampling-eff...

10 Charlie Nash, et al. ∙

∙ 02/09/2021

A Deep Learning Approach for Characterizing Major Galaxy Mergers

Fine-grained estimation of galaxy merger stages from observations is a k...

0 Skanda Koppula, et al. ∙

∙ 11/14/2020

Towards transformation-resilient provenance detection of digital media

Advancements in deep generative models have made it possible to synthesi...

7 Jamie Hayes, et al. ∙

∙ 06/29/2020

Self-Supervised MultiModal Versatile Networks

Videos are a rich source of multi-modal supervision. In this work, we le...

82 Jean-Baptiste Alayrac, et al. ∙

∙ 06/05/2020

End-to-End Adversarial Text-to-Speech

Modern text-to-speech synthesis pipelines typically involve multiple pro...

0 Jeff Donahue, et al. ∙

∙ 03/09/2020

Transformation-based Adversarial Video Prediction on Large-Scale Data

Recent breakthroughs in adversarial generative modeling have led to mode...

11 Pauline Luc, et al. ∙

∙ 09/25/2019

High Fidelity Speech Synthesis with Adversarial Networks

Generative adversarial networks have seen rapid development in recent ye...

0 Mikołaj Bińkowski, et al. ∙

∙ 03/06/2019

Hierarchical Autoregressive Image Models with Auxiliary Decoders

Autoregressive generative models of images tend to be biased towards cap...

0 Jeffrey De Fauw, et al. ∙

∙ 10/29/2018

Enabling Factorized Piano Music Modeling and Generation with the MAESTRO Dataset

Generating musical audio directly with neural networks is notoriously di...

0 Curtis Hawthorne, et al. ∙

∙ 10/11/2018

Piano Genie

We present Piano Genie, an intelligent controller which allows non-music...

0 Chris Donahue, et al. ∙

∙ 08/10/2018

This Time with Feeling: Learning Expressive Musical Performance

Music generation has generally been focused on either creating scores or...

0 Sageev Oore, et al. ∙

∙ 06/26/2018

The challenge of realistic music generation: modelling raw audio at scale

Realistic music generation is a challenging task. When building generati...

6 Sander Dieleman, et al. ∙

∙ 02/23/2018

Efficient Neural Audio Synthesis

Sequential models achieve state-of-the-art results in audio, visual and ...

0 Nal Kalchbrenner, et al. ∙

∙ 11/28/2017

Parallel WaveNet: Fast High-Fidelity Speech Synthesis

The recently-developed WaveNet architecture is the current state of the ...

0 Aaron van den Oord, et al. ∙

∙ 04/05/2017

Neural Audio Synthesis of Musical Notes with WaveNet Autoencoders

Generative models in vision have seen rapid progress due to algorithmic ...

0 Jesse Engel, et al. ∙

∙ 09/12/2016

WaveNet: A Generative Model for Raw Audio

This paper introduces WaveNet, a deep neural network for generating raw ...

0 Aaron van den Oord, et al. ∙

∙ 05/09/2016

Theano: A Python framework for fast computation of mathematical expressions

Theano is a Python library that allows to define, optimize, and evaluate...

0 The Theano Development Team, et al. ∙

∙ 02/08/2016

Exploiting Cyclic Symmetry in Convolutional Neural Networks

Many classes of images exhibit rotational symmetry. Convolutional neural...

0 Sander Dieleman, et al. ∙

∙ 06/05/2015

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Recent studies have demonstrated the power of recurrent neural networks ...

0 Lionel Pigou, et al. ∙

∙ 03/24/2015

Rotation-invariant convolutional neural networks for galaxy morphology prediction

Measuring the morphological parameters of galaxies is a key requirement ...

0 Sander Dieleman, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world