• FFT 1
• Galaxy Zoo 3
• Kaggle 4
• Lasagne 1
• MIR 2
• National Data Science Bowl 1
• Python 1
• Spotify 1
• Theano 9
• VQ-VAE 2
• arxiv 1
• audio 1
• autoencoders 1
• code 1
• cold start problem 1
• collaborative filtering 1
• competition 4
• convnets 9
• convolution 4
• convolutional neural networks 9
• deep learning 21
• denoising 1
• diffusion 6
• fast Fourier transform 1
• generative models 11
• guidance 7
• imagen 1
• internship 1
• likelihood 2
• music 2
• music information retrieval 2
• music recommendation 1
• neural networks 1
• optimization 1
• paper 1
• plankton 1
• probability 2
• raw audio 1
• score function 8
• slides 1
• talk 1
• typicality 2
• waveform 1

FFT

• Even faster convolutions in Theano using FFTs

Galaxy Zoo

• Paper about my Galaxy Challenge solution
• Galaxy Zoo Challenge: code published
• My solution for the Galaxy Zoo challenge

Kaggle

• Paper about my Galaxy Challenge solution
• Classifying plankton with deep neural networks
• Galaxy Zoo Challenge: code published
• My solution for the Galaxy Zoo challenge

Lasagne

• New Lasagne feature: arbitrary expressions as layer parameters

MIR

• Recommending music on Spotify with deep learning
• Slides for my talk at the Deep Learning London meetup

National Data Science Bowl

• Classifying plankton with deep neural networks

Python

• Galaxy Zoo Challenge: code published

Spotify

• Recommending music on Spotify with deep learning

Theano

• New Lasagne feature: arbitrary expressions as layer parameters
• Classifying plankton with deep neural networks
• The fastest convolutions in Theano with meta-optimization
• Recommending music on Spotify with deep learning
• Slides for my talk at the Deep Learning London meetup
• Even faster convolutions in Theano using FFTs
• Galaxy Zoo Challenge: code published
• My solution for the Galaxy Zoo challenge
• 3x faster convolutions in Theano

VQ-VAE

• 深入理解 VQ-VAE
• 深入理解 DALL-E

arxiv

• Paper about my Galaxy Challenge solution

audio

• Generating music in the waveform domain

autoencoders

• Diffusion models are autoencoders

code

• Galaxy Zoo Challenge: code published

cold start problem

• Recommending music on Spotify with deep learning

collaborative filtering

• Recommending music on Spotify with deep learning

competition

• Paper about my Galaxy Challenge solution
• Classifying plankton with deep neural networks
• Galaxy Zoo Challenge: code published
• My solution for the Galaxy Zoo challenge

convnets

• Paper about my Galaxy Challenge solution
• Classifying plankton with deep neural networks
• The fastest convolutions in Theano with meta-optimization
• Recommending music on Spotify with deep learning
• Slides for my talk at the Deep Learning London meetup
• Even faster convolutions in Theano using FFTs
• Galaxy Zoo Challenge: code published
• My solution for the Galaxy Zoo challenge
• 3x faster convolutions in Theano

convolution

• The fastest convolutions in Theano with meta-optimization
• Recommending music on Spotify with deep learning
• Slides for my talk at the Deep Learning London meetup
• Even faster convolutions in Theano using FFTs

convolutional neural networks

• Paper about my Galaxy Challenge solution
• Classifying plankton with deep neural networks
• The fastest convolutions in Theano with meta-optimization
• Recommending music on Spotify with deep learning
• Slides for my talk at the Deep Learning London meetup
• Even faster convolutions in Theano using FFTs
• Galaxy Zoo Challenge: code published
• My solution for the Galaxy Zoo challenge
• 3x faster convolutions in Theano

deep learning

• 深入理解 Imagen
• 深入理解 VQ-VAE
• 深入理解 DALL-E
• [论文理解] Classifier-Free Diffusion Guidance
• [论文理解] Diffusion Models Beat GANs on Image Synthesis
• [论文理解] DENOISING DIFFUSION IMPLICIT MODELS
• [论文理解] Denoising Diffusion Probabilistic Models
• Diffusion models are autoencoders
• Musings on typicality
• Addendum: quantifying our flawed intuitions
• Generating music in the waveform domain
• New Lasagne feature: arbitrary expressions as layer parameters
• Paper about my Galaxy Challenge solution
• Classifying plankton with deep neural networks
• The fastest convolutions in Theano with meta-optimization
• Recommending music on Spotify with deep learning
• Slides for my talk at the Deep Learning London meetup
• Even faster convolutions in Theano using FFTs
• Galaxy Zoo Challenge: code published
• My solution for the Galaxy Zoo challenge
• 3x faster convolutions in Theano

denoising

• Diffusion models are autoencoders

diffusion

• 深入理解 Imagen
• [论文理解] Classifier-Free Diffusion Guidance
• [论文理解] Diffusion Models Beat GANs on Image Synthesis
• [论文理解] DENOISING DIFFUSION IMPLICIT MODELS
• [论文理解] Denoising Diffusion Probabilistic Models
• Diffusion models are autoencoders

fast Fourier transform

• Even faster convolutions in Theano using FFTs

generative models

• 深入理解 Imagen
• 深入理解 VQ-VAE
• 深入理解 DALL-E
• [论文理解] Classifier-Free Diffusion Guidance
• [论文理解] Diffusion Models Beat GANs on Image Synthesis
• [论文理解] DENOISING DIFFUSION IMPLICIT MODELS
• [论文理解] Denoising Diffusion Probabilistic Models
• Diffusion models are autoencoders
• Musings on typicality
• Addendum: quantifying our flawed intuitions
• Generating music in the waveform domain

guidance

• 深入理解 Imagen
• 深入理解 VQ-VAE
• 深入理解 DALL-E
• [论文理解] Classifier-Free Diffusion Guidance
• [论文理解] Diffusion Models Beat GANs on Image Synthesis
• [论文理解] DENOISING DIFFUSION IMPLICIT MODELS
• [论文理解] Denoising Diffusion Probabilistic Models

imagen

• 深入理解 Imagen

internship

• Recommending music on Spotify with deep learning

likelihood

• Musings on typicality
• Addendum: quantifying our flawed intuitions

music

• Generating music in the waveform domain
• Recommending music on Spotify with deep learning

music information retrieval

• Recommending music on Spotify with deep learning
• Slides for my talk at the Deep Learning London meetup

music recommendation

• Recommending music on Spotify with deep learning

neural networks

• New Lasagne feature: arbitrary expressions as layer parameters

optimization

• The fastest convolutions in Theano with meta-optimization

paper

• Paper about my Galaxy Challenge solution

plankton

• Classifying plankton with deep neural networks

probability

• Musings on typicality
• Addendum: quantifying our flawed intuitions

raw audio

• Generating music in the waveform domain

score function

• 深入理解 Imagen
• 深入理解 VQ-VAE
• 深入理解 DALL-E
• [论文理解] Classifier-Free Diffusion Guidance
• [论文理解] Diffusion Models Beat GANs on Image Synthesis
• [论文理解] DENOISING DIFFUSION IMPLICIT MODELS
• [论文理解] Denoising Diffusion Probabilistic Models
• Diffusion models are autoencoders

slides

• Slides for my talk at the Deep Learning London meetup

talk

• Slides for my talk at the Deep Learning London meetup

typicality

• Musings on typicality
• Addendum: quantifying our flawed intuitions

waveform

• Generating music in the waveform domain