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Deep Learning Lecture Series at UCL, starting Feb 3rd. (Free) tickets are available now. I will be talking about convolutional neural networks on Feb 17th!https://twitter.com/DeepMind/status/1219662245598322689 …
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Sander Dieleman proslijedio/la je Tweet
Differentiable Digital Signal Processing (DDSP)! Fusing classic interpretable DSP with neural networks.
Blog: http://magenta.tensorflow.org/ddsp
Examples: https://g.co/magenta/ddsp-examples …
Colab: http://g.co/magenta/ddsp-demo …
Code: http://github.com/magenta/ddsp
Paper: http://g.co/magenta/ddsp-paper …
1/pic.twitter.com/SlxLUOUC6k
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Sander Dieleman proslijedio/la je Tweet
Very excited to share https://www.nature.com/articles/s41586-019-1799-6 … where we show an AI system that outperforms specialists at detecting breast cancer during screening in both the UK and US. Joint work with
@GoogleHealth and@CR_UK published in@Nature today!pic.twitter.com/SL6NV6KyuY
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Sander Dieleman proslijedio/la je Tweet
My AI art online gallery for 2019 is finally live

Check out all the art, music and design projects submitted to our #NeurIPS4Creativity Workshop
http://www.aiartonline.com
#NeurIPS2019#AIart#CreativeAIpic.twitter.com/OYAa1jQ1Wa
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Sander Dieleman proslijedio/la je Tweet
Poster Session 1 happening at the
#NeurIPS4Creativity Workshop until 2.30pm. Drop by for Korean abstract painting, creative GANs and generative models without data
#NeurIPS2019pic.twitter.com/ubkY1xaPzy
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Sander Dieleman proslijedio/la je Tweet
I'm so excited about the program we've put together for Saturday's
#NeurIPS2019 ML for Creativity and Design Workshop 3.0. Aside from the amazing accepted talks and posters, we have a diverse set of invited speakers I want to highlight in this thread.https://neurips2019creativity.github.io/Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sander Dieleman proslijedio/la je Tweet
Full Schedule and accepted papers for our Creativity Workshop now live on http://neurips2019creativity.github.io See you on Saturday 14th Dec in West 223-224

#NeurIPS2019#neurips4creativitypic.twitter.com/Q466FFQkgz
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Sander Dieleman proslijedio/la je Tweet
Unsupervised pre-training now outperforms supervised learning on ImageNet for any data regime (see figure) and also for transfer learning to Pascal VOC object detection https://arxiv.org/abs/1905.09272v2 …pic.twitter.com/cciL5Db73x
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Heading to Vancouver for
#NeurIPS2019! I'll be around all week, check out our workshop on ML for creativity and design on Saturday!https://neurips2019creativity.github.io/Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sander Dieleman proslijedio/la je Tweet
Looking for something to read in your flight to
#NeurIPS2019? Read about Normalizing Flows from our extensive review paper (also with new insights on how to think about and derive new flows) https://arxiv.org/abs/1912.02762 with@gpapamak@eric_nalisnick@DeepSpiker@balajiln@shakir_zapic.twitter.com/EWh8Aui7n0
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Sander Dieleman proslijedio/la je Tweet
End-to-end training of sparse deep neural networks with little-to-no performance loss. Check out our new paper: “Rigging the Lottery: Making All Tickets Winners” (RigL
) !
http://arxiv.org/abs/1911.11134
http://github.com/google-research/rigl …
with @Tgale96@jacobmenick@pcastr and@erich_elsenpic.twitter.com/LmR18hK4LV
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Sander Dieleman proslijedio/la je Tweet
“Fast Sparse ConvNets”, a collaboration w/
@GoogleAI [https://arxiv.org/abs/1911.09723 ], implements fast Sparse Matrix-Matrix Multiplication to replace dense 1x1 convolutions in MobileNet architectures. The sparse networks are 66% the size and 1.5-2x faster than their dense equivalents.pic.twitter.com/poDKMzfA4u
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Sander Dieleman proslijedio/la je Tweet
Here the slides of our tutorial on "Waveform-based music processing with deep learning" organised by
@sedielem, Jongpil Lee and myself! - Zenodo: https://zenodo.org/record/3529714#.XcG6Ty2ZPpA … - Google Slides: https://docs.google.com/presentation/d/1_ezZXDkyhp9USAYMc5oKJCkUrUhBfo-Di8H8IfypGBM/edit?usp=sharing …pic.twitter.com/7yxhDOKluS
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I'm at
#ISMIR2019 until Wednesday! My first ISMIR in 5 years :) I'll be co-presenting a tutorial about raw audio music processing and generation with@jordiponsdotme and Jongpil Lee on Monday afternoon.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Sander Dieleman proslijedio/la je Tweet
My PhD thesis is now available on arXiv: Neural Density Estimation and Likelihood-free Inference https://arxiv.org/abs/1910.13233 There's a lot in it for those interested in probabilistic modelling with normalizing flows, and in likelihood-free inference using machine learning. (cont.)https://twitter.com/driainmurray/status/1155054417747615744 …
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Update: a new version of our paper is now on arxiv. It includes a human evaluation study to assess sample realism with ratings and pairwise comparisons, covering likelihood-based and adversarial models. https://arxiv.org/abs/1903.04933
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Sander Dieleman proslijedio/la je Tweet
We've developed a new model for text-to-speech using GANs (TTS-GAN), combining high quality with efficient generation. More details in the paper: https://arxiv.org/abs/1909.11646 , and the abstract as read by TTS-GAN:https://drive.google.com/open?id=1yzNl7AC1IcY0Zfpi1Et6a4dsuSy-44wa …
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Sander Dieleman proslijedio/la je Tweet
If you are reeling from a NeurIPS rejection or stressing about an ICLR submission, remember that some of the best papers were never published anywhere except arxiv. Thread of a few favorites (1/5):
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Sander Dieleman proslijedio/la je Tweet
Thrilled to be able to share what I've been working on for the last year - solving the fundamental equations of quantum mechanics with deep learning! https://arxiv.org/abs/1909.02487
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Sander Dieleman proslijedio/la je Tweet
Less than 1 week left to submit your paper and art to our
#NeurIPS2019 Creativity Workshop
https://neurips2019creativity.github.io
Deadline 9th September
cc @sedielem@ada_rob@jesseengel@RebeccaFiebrink@dribnet@mcleavey@pkmital@naotokui_en#neurips4creativity#creativeAI#AIartpic.twitter.com/gsNtIalqjU
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New lecture series