∅
Photo
Deep Learning for Symbolic Mathematics
Abstract:
Neural networks have a reputation for being better at solving statistical or approximate problems than at performing calculations or working with symbolic data. In this paper, we show that they can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations. We propose a syntax for representing mathematical problems, and methods for generating large datasets that can be used to train sequence-to-sequence models. We achieve results that outperform commercial Computer Algebra Systems such as Matlab or Mathematica.
https://arxiv.org/abs/1912.01412
#abstract
Abstract:
Neural networks have a reputation for being better at solving statistical or approximate problems than at performing calculations or working with symbolic data. In this paper, we show that they can be surprisingly good at more elaborated tasks in mathematics, such as symbolic integration and solving differential equations. We propose a syntax for representing mathematical problems, and methods for generating large datasets that can be used to train sequence-to-sequence models. We achieve results that outperform commercial Computer Algebra Systems such as Matlab or Mathematica.
https://arxiv.org/abs/1912.01412
#abstract
GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds
Abstract:
We present GANcraft, an unsupervised neural rendering framework for generating photorealistic images of large 3D block worlds such as those created in Minecraft. Our method takes a semantic block world as input, where each block is assigned a semantic label such as dirt, grass, or water. We represent the world as a continuous volumetric function and train our model to render view-consistent photorealistic images for a user-controlled camera. In the absence of paired ground truth real images for the block world, we devise a training technique based on pseudo-ground truth and adversarial training. This stands in contrast to prior work on neural rendering for view synthesis, which requires ground truth images to estimate scene geometry and view-dependent appearance. In addition to camera trajectory, GANcraft allows user control over both scene semantics and output style. Experimental results with comparison to strong baselines show the effectiveness of GANcraft on this novel task of photorealistic 3D block world synthesis.
https://youtu.be/1Hky092CGFQ
https://nvlabs.github.io/GANcraft/
#abstract
Abstract:
We present GANcraft, an unsupervised neural rendering framework for generating photorealistic images of large 3D block worlds such as those created in Minecraft. Our method takes a semantic block world as input, where each block is assigned a semantic label such as dirt, grass, or water. We represent the world as a continuous volumetric function and train our model to render view-consistent photorealistic images for a user-controlled camera. In the absence of paired ground truth real images for the block world, we devise a training technique based on pseudo-ground truth and adversarial training. This stands in contrast to prior work on neural rendering for view synthesis, which requires ground truth images to estimate scene geometry and view-dependent appearance. In addition to camera trajectory, GANcraft allows user control over both scene semantics and output style. Experimental results with comparison to strong baselines show the effectiveness of GANcraft on this novel task of photorealistic 3D block world synthesis.
https://youtu.be/1Hky092CGFQ
https://nvlabs.github.io/GANcraft/
#abstract
YouTube
NVIDIA GANcraft
Convert user-created 3D block worlds to realistic worlds!
More details at https://nvlabs.github.io/GANcraft/.
More details at https://nvlabs.github.io/GANcraft/.
Forwarded from Evgenii Zheltonozhskii🇮🇱
https://casmls.github.io/feed.xml
B.log - RSS feed http://feeds.feedburner.com/barmaley-exe-blog-feed?format=xml
kevin frans blog http://kvfrans.com/rss/
Khanh's little things http://khanhxnguyen.com/feed/
Agustinus Kristiadi's Blog https://wiseodd.github.io/feed.xml
DeepMind AI https://deepmind-ai.blogspot.com/feeds/posts/default?alt=rss
The Official NVIDIA Blog http://feeds.feedburner.com/nvidiablog
Qure.ai Blog http://blog.qure.ai/feed.xml
The Unofficial Google Data Science Blog http://www.unofficialgoogledatascience.com/feeds/posts/default?alt=rss
The Official Blog of BigML.com https://blog.bigml.com/feed/
Caffe2 https://caffe2.ai/feed.xml
Distill https://distill.pub/rss.xml
Latest Post https://deepmind.com/blog/feed/basic/
OpenAI https://openai.com/feed.xml
Andrej Karpathy blog https://karpathy.github.io/feed.xml
Import AI https://jack-clark.net/feed/
Stories by Andrej Karpathy on Medium https://medium.com/feed/@karpathy
inFERENCe http://www.inference.vc/rss/
Machined Learnings http://www.machinedlearnings.com/feeds/posts/default
The Berkeley Artificial Intelligence Research Blog http://bair.berkeley.edu/blog/feed.xml
Home https://alexgkendall.com/feed.xml
AI https://www.blog.google/technology/ai/rss/
Off the convex path http://www.offconvex.org/feed.xml
Cognitive Medium http://cognitivemedium.com/feed.xml
handong1587 https://handong1587.github.io/atom.xml
Preferred Networks, Inc. https://www.preferred-networks.jp/en/feed
WildML http://www.wildml.com/feed/
arg min blog http://www.argmin.net/feed.xml
Unsupervised https://rss.simplecast.com/podcasts/3605/rss
Sorta Insightful https://www.alexirpan.com/feed.xml
Terra Incognita http://blog.christianperone.com/feed/
Edward - Latest topics https://discourse.edwardlib.org/latest.rss
Paperspace Blog https://blog.paperspace.com/rss/
Vicarious https://www.vicarious.com/feed/
Stories by TensorFlow on Medium https://medium.com/feed/@tensorflow
fast.ai http://www.fast.ai/atom.xml
Recent Commits to papers:master https://github.com/Scitator/papers/commits/master.atom
Pete Warden's blog https://petewarden.com/feed/
Wayve - News & Blog https://wayve.ai/blog?format=RSS
DeepControl.ai https://deepcontrol.ai/feed/
Jack Kelly http://jack-kelly.com/feed.xml
Amid Fish http://amid.fish/feed.xml
Machine Learning Research Blog https://francisbach.com/feed/
Pickled ML https://blog.aqnichol.com/feed/
Greg Brockman https://blog.gregbrockman.com/feed
Preferred Networks Research Blog https://preferredresearch.jp/feed/
Stochastic Lifestyle http://www.stochasticlifestyle.com/feed/
Sebastian Ruder http://ruder.io/rss/
大トロ http://blog.otoro.net/feed.xml
Sagivtech https://sagivtech.com/feed/
The Asimov Institute http://www.asimovinstitute.org/feed/
The Exclusive Or http://www.theexclusive.org/feed.xml
OpenAI https://openai.com/blog/rss/
Luke Oakden-Rayner https://lukeoakdenrayner.wordpress.com/feed/
insideBIGDATA https://insidebigdata.com/feed/
Buckman's Homepage https://jacobbuckman.com/feed.xml
The Big Data Theory http://grigory.us/blog/feed.xml
Machine Learning Blog | ML@CMU | Carnegie Mellon University https://blog.ml.cmu.edu/feed/
The TensorFlow Blog https://blog.tensorflow.org/feeds/posts/default
dividiti.com - co-designing most efficient SW/HW stacks for emerging AI/ML/quantum workloads https://dividiti.blogspot.com/feeds/posts/default
Chip Huyen https://huyenchip.com/feed.xml
http://dustintran.com/blog/feed.xml
endtoend.ai https://www.endtoend.ai/feed.xml
Alignment Newsletter Archive Feed https://us18.campaign-archive.com/feed?u=1d1821210cc4f04d1e05c4fa6&id=dbac5de515
Piekniewski's blog https://blog.piekniewski.info/feed/
Another data science student's blog https://sgugger.github.io/feeds/all.rss.xml
Lil’Log https://lilianweng.github.io/lil-log/feed.xml
Jonty Sinai https://jontysinai.github.io/feed.xml
Sebastian Ruder http://ruder.io/rss/index.rss
Jacob Gildenblat https://jacobgil.github.io/feed
Daniel Daza https://dfdazac.github.io/feed.xml
Jay Alammar https://jalammar.github.io/feed
Paper Digest https://www.paperdigest.org/feed/
DeepLearning.AI Blog https://blog.deeplearning.ai/blog/rss.xm
B.log - RSS feed http://feeds.feedburner.com/barmaley-exe-blog-feed?format=xml
kevin frans blog http://kvfrans.com/rss/
Khanh's little things http://khanhxnguyen.com/feed/
Agustinus Kristiadi's Blog https://wiseodd.github.io/feed.xml
DeepMind AI https://deepmind-ai.blogspot.com/feeds/posts/default?alt=rss
The Official NVIDIA Blog http://feeds.feedburner.com/nvidiablog
Qure.ai Blog http://blog.qure.ai/feed.xml
The Unofficial Google Data Science Blog http://www.unofficialgoogledatascience.com/feeds/posts/default?alt=rss
The Official Blog of BigML.com https://blog.bigml.com/feed/
Caffe2 https://caffe2.ai/feed.xml
Distill https://distill.pub/rss.xml
Latest Post https://deepmind.com/blog/feed/basic/
OpenAI https://openai.com/feed.xml
Andrej Karpathy blog https://karpathy.github.io/feed.xml
Import AI https://jack-clark.net/feed/
Stories by Andrej Karpathy on Medium https://medium.com/feed/@karpathy
inFERENCe http://www.inference.vc/rss/
Machined Learnings http://www.machinedlearnings.com/feeds/posts/default
The Berkeley Artificial Intelligence Research Blog http://bair.berkeley.edu/blog/feed.xml
Home https://alexgkendall.com/feed.xml
AI https://www.blog.google/technology/ai/rss/
Off the convex path http://www.offconvex.org/feed.xml
Cognitive Medium http://cognitivemedium.com/feed.xml
handong1587 https://handong1587.github.io/atom.xml
Preferred Networks, Inc. https://www.preferred-networks.jp/en/feed
WildML http://www.wildml.com/feed/
arg min blog http://www.argmin.net/feed.xml
Unsupervised https://rss.simplecast.com/podcasts/3605/rss
Sorta Insightful https://www.alexirpan.com/feed.xml
Terra Incognita http://blog.christianperone.com/feed/
Edward - Latest topics https://discourse.edwardlib.org/latest.rss
Paperspace Blog https://blog.paperspace.com/rss/
Vicarious https://www.vicarious.com/feed/
Stories by TensorFlow on Medium https://medium.com/feed/@tensorflow
fast.ai http://www.fast.ai/atom.xml
Recent Commits to papers:master https://github.com/Scitator/papers/commits/master.atom
Pete Warden's blog https://petewarden.com/feed/
Wayve - News & Blog https://wayve.ai/blog?format=RSS
DeepControl.ai https://deepcontrol.ai/feed/
Jack Kelly http://jack-kelly.com/feed.xml
Amid Fish http://amid.fish/feed.xml
Machine Learning Research Blog https://francisbach.com/feed/
Pickled ML https://blog.aqnichol.com/feed/
Greg Brockman https://blog.gregbrockman.com/feed
Preferred Networks Research Blog https://preferredresearch.jp/feed/
Stochastic Lifestyle http://www.stochasticlifestyle.com/feed/
Sebastian Ruder http://ruder.io/rss/
大トロ http://blog.otoro.net/feed.xml
Sagivtech https://sagivtech.com/feed/
The Asimov Institute http://www.asimovinstitute.org/feed/
The Exclusive Or http://www.theexclusive.org/feed.xml
OpenAI https://openai.com/blog/rss/
Luke Oakden-Rayner https://lukeoakdenrayner.wordpress.com/feed/
insideBIGDATA https://insidebigdata.com/feed/
Buckman's Homepage https://jacobbuckman.com/feed.xml
The Big Data Theory http://grigory.us/blog/feed.xml
Machine Learning Blog | ML@CMU | Carnegie Mellon University https://blog.ml.cmu.edu/feed/
The TensorFlow Blog https://blog.tensorflow.org/feeds/posts/default
dividiti.com - co-designing most efficient SW/HW stacks for emerging AI/ML/quantum workloads https://dividiti.blogspot.com/feeds/posts/default
Chip Huyen https://huyenchip.com/feed.xml
http://dustintran.com/blog/feed.xml
endtoend.ai https://www.endtoend.ai/feed.xml
Alignment Newsletter Archive Feed https://us18.campaign-archive.com/feed?u=1d1821210cc4f04d1e05c4fa6&id=dbac5de515
Piekniewski's blog https://blog.piekniewski.info/feed/
Another data science student's blog https://sgugger.github.io/feeds/all.rss.xml
Lil’Log https://lilianweng.github.io/lil-log/feed.xml
Jonty Sinai https://jontysinai.github.io/feed.xml
Sebastian Ruder http://ruder.io/rss/index.rss
Jacob Gildenblat https://jacobgil.github.io/feed
Daniel Daza https://dfdazac.github.io/feed.xml
Jay Alammar https://jalammar.github.io/feed
Paper Digest https://www.paperdigest.org/feed/
DeepLearning.AI Blog https://blog.deeplearning.ai/blog/rss.xm
Forwarded from Evgenii Zheltonozhskii🇮🇱
l
Research Blog | NTU Graph Deep Learning Lab https://graphdeeplearning.github.io/post/index.xml
Extreme Learning http://extremelearning.com.au/feed/
Longest Path Search https://guille.site/feeds/feed.rss
Waypoint - The official Waymo blog http://feeds.feedburner.com/Waymo
The Stanford AI Lab Blog http://ai.stanford.edu/blog/feed.xml
gradient science http://gradientscience.org/feed.xml
ML in Production https://mlinproduction.com/feed/
Page Street Labs https://pagestlabs.substack.com/feed/
Aran Komatsuzaki https://arankomatsuzaki.wordpress.com/feed/
ML News Feed http://mln.dev/rss
andy l jones https://andyljones.com/rss.xml
Research Blog | NTU Graph Deep Learning Lab https://graphdeeplearning.github.io/post/index.xml
Extreme Learning http://extremelearning.com.au/feed/
Longest Path Search https://guille.site/feeds/feed.rss
Waypoint - The official Waymo blog http://feeds.feedburner.com/Waymo
The Stanford AI Lab Blog http://ai.stanford.edu/blog/feed.xml
gradient science http://gradientscience.org/feed.xml
ML in Production https://mlinproduction.com/feed/
Page Street Labs https://pagestlabs.substack.com/feed/
Aran Komatsuzaki https://arankomatsuzaki.wordpress.com/feed/
ML News Feed http://mln.dev/rss
andy l jones https://andyljones.com/rss.xml
echo "g(i,x,t,o){return((3&x&(i*((3&i>>16?\"BY}6YB6%\":\"Qj}6jQ6%\")[t%8]+51)>>o))<<4);};main(i,n,s){for(i=0;;i++)putchar(g(i,1,n=i>>14,12)+g(i,s=i>>17,n^i>>13,10)+g(i,s/3,n+((i>>11)%3),10)+g(i,s/5,8+n-((i>>10)%3),9));}"|gcc -xc -&&./a.out|aplay