JJ (@DeepGraphLearn) profile picture
Joined January 2017
Photo by JJ (@DeepGraphLearn)Photo by JJ (@DeepGraphLearn)Photo by JJ (@DeepGraphLearn)Photo by JJ (@DeepGraphLearn)Photo by JJ (@DeepGraphLearn)Photo by JJ (@DeepGraphLearn)
That woman accidentally blocking the most expensive shot of the evening is sending me
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Simulations are important for scientific discovery, but they can be high-dimensional and difficult to understand. We introduce Targeted Causal Reduction (TCR): a method to learn high-level causes of phenomena occurring in scientific simulations. 🧵1/ 📄: arxiv.org/abs/2311.18639
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In the midst of a globally consequential Iranian uprising, some Iranians are using the occasion to shame thoughtful Iranians for impurity of thought. These harassments are disgraceful, and their timing is most unfortunate. (1/3) #IranProtests #IranRevoIution2022 #MahsaAmini
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@DistributedDave @kkevsterrr Any ideas of Geneva strategies that may help in Iran?
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This is a thread how to make Outline VPN Servers more resilient to blocking in #Iran: - Use a domain name and rotate IPs - Use a 2-hop system - Do packet manipulation to confuse the censor Follow along #IranProtests2022
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This is how to set up a 2-hop Outline VPN: github.com/net4people/bbs/is… This is how to set up a DNS tunnel: bamsoftware.com/software/dns…
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This needs validation, but my hope is that we can do 2-hop VPNs with the ASes not blocked and DNS tunnel on the DNS resolvers with external access
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After the draw between Caruana and Predke, Alireza Firouzja is now officially the winner of the 2021 #FIDE @Chesscom Grand Swiss! Congratulations! 👏
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Zalando Research is hiring computer vision researchers. Come join us if you want to play with huge image datasets and help create a new digital fashion experience with your ML skills. #MachineLearning #Jobs lnkd.in/d9QUjq4W
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Many hot research topics are involved in a long term strategic roadmap: discriminative and generative learning, 3d graphics, adversarial learning, multimodal representations. #ArtificialIntelligence #Job lnkd.in/d9QUjq4W
Wo-wo-wo-wow!
More experiments with semantic guidance of a disentangled generative adversarial network for a paper in preparation. Here we start from a GAN-inverted picture of Bertrand Russell, and modify it in various ways using text prompts and a #CLIP-based loss.
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Classic as in Maxwell, Hurwitz, Nyquist, Bode, van der Pol, Bellman, .....
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Can RL algorithms be replaced with transformer-based language models? We’ve looked at this question with our work on Decision Transformer: Website: sites.google.com/corp/berkel… Code: github.com/kzl/decision-tran… 1/8
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Attention-driven Robot Manipulation (ARM)🦾 is our new learning algorithm that can do RLBench tasks, while other baselines fail. Secret sauce is Q-attention🔎, which crops around interesting pixels before giving to an actor-critic method. w/ @AjdDavison sites.google.com/view/q-atte…
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A narrative resonates with many of us who moved to industry. crystalprisonzone.blogspot.c… Thank you @JoeHilgard