#deepgenerativemodeling search results
Today we had a great e-talk by @LucaAmb for AI ppl at the @VUamsterdam! Extremely interesting stuff on #deepgenerativemodeling, a combination of VAEs and flows. More details in their writeup: arxiv.org/abs/2205.09546
Today is the second blog post in the new series. This time: "Are we dil(ff)usional about the ELBO?!". What are the consequences of using Gaussian diffusion in latent variable models? Blog: jmtomczak.github.io/#blog Post: jmtomczak.github.io/blog/13/13_tro… #deepgenerativemodeling #diffusion
Today I had a great pleasure to participate in and present at the @nvphbv Fall Meeting 2022. It’s always fun to talk about #generativeai #deepgenerativemodeling 🤓
Energy-based models (in the form of Gaussian Restricted Boltzmann Machines) strike again! A very interesting paper by @lrjconan @skornblith @mengyer @fleet_dj & @geoffreyhinton: arxiv.org/abs/2210.10318 w/ @PyTorch code: github.com/DSL-Lab/GRBM #deepgenerativemodeling
It was a great pleasure to talk about #deepgenerativemodeling and #generativeai at CVIT Summer School (cvit.iiit.ac.in/summerschool20…). Slides: jmtomczak.github.io/pdf/CV_ML_Summ…
@jmtomczak gave an awesome talk on Deep Generative Models at the 6th AI Summer School hosted by @iiit_hyderabad 🥳🥳
🥳SAN, a GAN equipped with a metrizable discriminator that improves generator's performance (almost) consistently, achieved the SOTA FID score in CIFAR10! #ICLR2024 #DeepGenerativeModeling #GAN [Project Page] ytakida.github.io/san/ [Papers with code] paperswithcode.com/paper/adversar…
![takiko_san's tweet image. 🥳SAN, a GAN equipped with a metrizable discriminator that improves generator's performance (almost) consistently, achieved the SOTA FID score in CIFAR10!
#ICLR2024 #DeepGenerativeModeling #GAN
[Project Page]
ytakida.github.io/san/
[Papers with code]
paperswithcode.com/paper/adversar…](https://pbs.twimg.com/media/GK3PG8haQAAPHAF.png)
Our work with @insou, "SAN", updated SOTA FID score on ImageNet-256 among GANs on top of StyleGAN-XL imp! Simple modifications to objectives and last layers of discriminators are all you need to enhance most GANs with SAN! paperswithcode.com/sota/image-gen… #GAN #GenerativeModeling
OK, so if anyone wants to delve into diffusion-based models, there is a cool paper about it by @calvinyluo: arxiv.org/abs/2208.11970 And (shameful self-promotion) you can always first take a look at my book #deepgenerativemodeling: tinyurl.com/52rea7sv
I'm super happy to see that #deepgenerativemodeling is spreading in Europe! Two great positions in @akalousis's team in Geneva (dmml.ch): Postdoc: dmml.ch/post-doc-posit… PhD student: dmml.ch/phd-position-o…
dmml.ch
PhD position on generative models for discrete data structures (Closed position) - Data mining and...
We have an opening for a PhD position. The research target is the development of deep generative models for discrete data structures such as graphs and in
An outcome of our research on evolution + learning in robotics. No #deepgenerativemodeling (yet ;)) but still interesting!
New Research: The Effects of Learning in Morphologically Evolving Robot Systems: Simultaneously evolving morphologies (bodies) and controllers (brains) of robots can cause a mismatch between the inherited body and brain in the offspring. To… frontiersin.org/articles/10.33… #Robotics #AI
frontiersin.org
Frontiers | The Effects of Learning in Morphologically Evolving Robot Systems
Simultaneously evolving morphologies (bodies) and controllers (brains) of robots can cause a mismatch between the inherited body and brain in the offspring. ...
Reading such reviews of the #DeepGenerativeModeling book gives me extra power! Thank you, Brent! Book: link.springer.com/book/10.1007/9…
I just finished Deep Generative Modeling by @jmtomczak. Covering topics from VAEs to GANs to EBMs, it has changed the way I think about ML. This book also demonstrates the reasoning behind the pesky sqrt(2) voodoo that shows up in so many neural networks.
A great opportunity to meet on April 29! If you'd like to chat about AI (and #deepgenerativemodeling), please let me know and register for the event!
On April 29 (from 15.00 to 18.00) there will be an opening of our robot lab! If you are interested in robotics and AI, and would like to meet us (e.g., @gusz_e, @KarineSMiras, @ayaman00, @jmtomczak) and discuss over drinks 🍻🤖, please join us: tinyurl.com/yz4vfj97
A highly recommended workshop at #iclr2023 combining neurosymbolic methods with generative modeling. #deepgenerativemodeling #GenerativeAI #neurosymbolic
Great news! Our hybrid workshop on Neurosymbolic Generative Models was accepted at ICLR 2023🎉🎉🎉 More details on nesygems.github.io
The deadline for our workshop is in less than a month! Don't miss it! #GenerativeAI #neurosymbolic #deepgenerativemodeling
The deadline to submit to the NeSy-GeMs Workshop is less than a month away! Submit your paper by February 3rd (AoE) 💎 Link: openreview.net/group?id=ICLR.…
Welcome to the 6th Summer School on AI buff.ly/3Pz8dIh #AI #Research #deepgenerativemodeling #generativeai via @glouppe
🥳SAN, a GAN equipped with a metrizable discriminator that improves generator's performance (almost) consistently, achieved the SOTA FID score in CIFAR10! #ICLR2024 #DeepGenerativeModeling #GAN [Project Page] ytakida.github.io/san/ [Papers with code] paperswithcode.com/paper/adversar…
Our work with @insou, "SAN", updated SOTA FID score on ImageNet-256 among GANs on top of StyleGAN-XL imp! Simple modifications to objectives and last layers of discriminators are all you need to enhance most GANs with SAN! paperswithcode.com/sota/image-gen… #GAN #GenerativeModeling
The deadline for our workshop is in less than a month! Don't miss it! #GenerativeAI #neurosymbolic #deepgenerativemodeling
The deadline to submit to the NeSy-GeMs Workshop is less than a month away! Submit your paper by February 3rd (AoE) 💎 Link: openreview.net/group?id=ICLR.…
A highly recommended workshop at #iclr2023 combining neurosymbolic methods with generative modeling. #deepgenerativemodeling #GenerativeAI #neurosymbolic
Great news! Our hybrid workshop on Neurosymbolic Generative Models was accepted at ICLR 2023🎉🎉🎉 More details on nesygems.github.io
Today I had a great pleasure to participate in and present at the @nvphbv Fall Meeting 2022. It’s always fun to talk about #generativeai #deepgenerativemodeling 🤓
Energy-based models (in the form of Gaussian Restricted Boltzmann Machines) strike again! A very interesting paper by @lrjconan @skornblith @mengyer @fleet_dj & @geoffreyhinton: arxiv.org/abs/2210.10318 w/ @PyTorch code: github.com/DSL-Lab/GRBM #deepgenerativemodeling
Today is the second blog post in the new series. This time: "Are we dil(ff)usional about the ELBO?!". What are the consequences of using Gaussian diffusion in latent variable models? Blog: jmtomczak.github.io/#blog Post: jmtomczak.github.io/blog/13/13_tro… #deepgenerativemodeling #diffusion
OK, so if anyone wants to delve into diffusion-based models, there is a cool paper about it by @calvinyluo: arxiv.org/abs/2208.11970 And (shameful self-promotion) you can always first take a look at my book #deepgenerativemodeling: tinyurl.com/52rea7sv
Welcome to the 6th Summer School on AI buff.ly/3Pz8dIh #AI #Research #deepgenerativemodeling #generativeai via @glouppe
It was a great pleasure to talk about #deepgenerativemodeling and #generativeai at CVIT Summer School (cvit.iiit.ac.in/summerschool20…). Slides: jmtomczak.github.io/pdf/CV_ML_Summ…
@jmtomczak gave an awesome talk on Deep Generative Models at the 6th AI Summer School hosted by @iiit_hyderabad 🥳🥳
Today we had a great e-talk by @LucaAmb for AI ppl at the @VUamsterdam! Extremely interesting stuff on #deepgenerativemodeling, a combination of VAEs and flows. More details in their writeup: arxiv.org/abs/2205.09546
I'm super happy to see that #deepgenerativemodeling is spreading in Europe! Two great positions in @akalousis's team in Geneva (dmml.ch): Postdoc: dmml.ch/post-doc-posit… PhD student: dmml.ch/phd-position-o…
dmml.ch
PhD position on generative models for discrete data structures (Closed position) - Data mining and...
We have an opening for a PhD position. The research target is the development of deep generative models for discrete data structures such as graphs and in
An outcome of our research on evolution + learning in robotics. No #deepgenerativemodeling (yet ;)) but still interesting!
New Research: The Effects of Learning in Morphologically Evolving Robot Systems: Simultaneously evolving morphologies (bodies) and controllers (brains) of robots can cause a mismatch between the inherited body and brain in the offspring. To… frontiersin.org/articles/10.33… #Robotics #AI
frontiersin.org
Frontiers | The Effects of Learning in Morphologically Evolving Robot Systems
Simultaneously evolving morphologies (bodies) and controllers (brains) of robots can cause a mismatch between the inherited body and brain in the offspring. ...
Reading such reviews of the #DeepGenerativeModeling book gives me extra power! Thank you, Brent! Book: link.springer.com/book/10.1007/9…
I just finished Deep Generative Modeling by @jmtomczak. Covering topics from VAEs to GANs to EBMs, it has changed the way I think about ML. This book also demonstrates the reasoning behind the pesky sqrt(2) voodoo that shows up in so many neural networks.
Today I had a great pleasure to participate in and present at the @nvphbv Fall Meeting 2022. It’s always fun to talk about #generativeai #deepgenerativemodeling 🤓
Today we had a great e-talk by @LucaAmb for AI ppl at the @VUamsterdam! Extremely interesting stuff on #deepgenerativemodeling, a combination of VAEs and flows. More details in their writeup: arxiv.org/abs/2205.09546
Today is the second blog post in the new series. This time: "Are we dil(ff)usional about the ELBO?!". What are the consequences of using Gaussian diffusion in latent variable models? Blog: jmtomczak.github.io/#blog Post: jmtomczak.github.io/blog/13/13_tro… #deepgenerativemodeling #diffusion
It was a great pleasure to talk about #deepgenerativemodeling and #generativeai at CVIT Summer School (cvit.iiit.ac.in/summerschool20…). Slides: jmtomczak.github.io/pdf/CV_ML_Summ…
@jmtomczak gave an awesome talk on Deep Generative Models at the 6th AI Summer School hosted by @iiit_hyderabad 🥳🥳
Energy-based models (in the form of Gaussian Restricted Boltzmann Machines) strike again! A very interesting paper by @lrjconan @skornblith @mengyer @fleet_dj & @geoffreyhinton: arxiv.org/abs/2210.10318 w/ @PyTorch code: github.com/DSL-Lab/GRBM #deepgenerativemodeling
🥳SAN, a GAN equipped with a metrizable discriminator that improves generator's performance (almost) consistently, achieved the SOTA FID score in CIFAR10! #ICLR2024 #DeepGenerativeModeling #GAN [Project Page] ytakida.github.io/san/ [Papers with code] paperswithcode.com/paper/adversar…
Our work with @insou, "SAN", updated SOTA FID score on ImageNet-256 among GANs on top of StyleGAN-XL imp! Simple modifications to objectives and last layers of discriminators are all you need to enhance most GANs with SAN! paperswithcode.com/sota/image-gen… #GAN #GenerativeModeling
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