Final year PhD @ Max Planck Institute for Intelligent Systems 🤖 | All things ML 🎲 | ex. @DeepMind, @amazon 🇭🇷🇩🇪🎸🏀🎾jimimvp.github.io Tübingen, DeutschlandJoined October 2015
100% . If you don't understand the point of this tweet, you should read up on causality. Unfortunately, meritocracy is going to mostly advance privilege. At the same time, it's a good way to groom scientists.
The answer is mentoring and giving resources to people from…
100% . If you don't understand the point of this tweet, you should read up on causality. Unfortunately, meritocracy is going to mostly advance privilege. At the same time, it's a good way to groom scientists.
The answer is mentoring and giving resources to people from…
Combining discrete and continuous data is an important capability for generative models. To address this for protein design, we introduce Multiflow, a generative model for structure and sequence generation.
Preprint: arxiv.org/abs/2402.04997
Code: github.com/jasonkyuyim/mu…
1/8
openai.com/research/video… This is really awesome! However, not the end of the story, just watch how in the biking video it invents a road where there was none after first 2 seconds 😅. Looks like consistency is still an issue. But it can fool you very well!
However, one sneaky thing is that you still need p(x | y), so calling it zero-shot is somewhat misleading. The privilege of the zero-shot branding belongs to text conditioning, so your y is effectively a prompt. Good luck integrating all the appropriate y's to get an accurate…
However, one sneaky thing is that you still need p(x | y), so calling it zero-shot is somewhat misleading. The privilege of the zero-shot branding belongs to text conditioning, so your y is effectively a prompt. Good luck integrating all the appropriate y's to get an accurate…
Indeed, zero-shot classification by generative models has been around for a while - however, this is frigging expensive! Requires maximizing p(y | x) whilst maybe having something like p(x | y)!
Indeed, zero-shot classification by generative models has been around for a while - however, this is frigging expensive! Requires maximizing p(y | x) whilst maybe having something like p(x | y)!
This is in a sense what we did in arxiv.org/pdf/2102.07456 . Necessarily requires learning a cost, without expert demonstration this is a **very** hard problem.
This is in a sense what we did in arxiv.org/pdf/2102.07456 . Necessarily requires learning a cost, without expert demonstration this is a **very** hard problem.
🚀 SymbolicAI – a framework for logic-based approaches combining generative models and solvers. Alongside, we introduce a benchmark and empirical measure to evaluate SOTA LLMs in AI-centric workflows. Read more in our paper arxiv.org/abs/2402.00854#MachineLearning 🧠💡[1/n]
Exciting opportunity! Join my new research group at the University of Zurich as a PhD candidate in Reinforcement Learning.
Contribute to cutting-edge AI research and shape the future of the field 🔥
To apply follow the instructions on my website: gioramponi.github.io#UZH#RL
Does anyone actually know what are the exact restrictions or are people just reacting to the headlines? Would anyone who is actually informed about the topic care to give the pro and contra arguments? I'm just seeing outrage and not receiving any useful info :). Is the UK going…
Does anyone actually know what are the exact restrictions or are people just reacting to the headlines? Would anyone who is actually informed about the topic care to give the pro and contra arguments? I'm just seeing outrage and not receiving any useful info :). Is the UK going…
I am excited to present you with a Christmas gift :P
😆😆
Our new fine-tunable generalist agent is what we call the Pangu-Agent!
Our agent is fantastic - ok! It supports the following:
1. Structured reasoning via a new notion of intrinsic functions that allows you to…
229K Followers 3K Following@NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.
45K Followers 2K FollowingML / AI researcher, emphasis on theory.
Research Director and Canada CIFAR AI Chair, @VectorInst
Professor, @UofT (Statistics/CS)
339 Followers 242 FollowingPhD Student @ Max Planck Institute for Intelligent Systems | Working on getting robots to play like children with unsupervised RL 🤖
29K Followers 1K FollowingOpen-Endedness Team Lead @GoogleDeepMind, Professor of AI @AI_UCL, PI @UCL_DARK, @ELLISforEurope Scholar. ex @MetaAI (FAIR), @CompSciOxford. Opinions my own.
7K Followers 4K FollowingResearcher in ML/NLP at the University of Edinburgh (faculty @InfAtEd @EdinburghNLP), @ELLISforEurope, @UCL_NLP, PI for @Clarify2020, https://t.co/WydvfU8ugz he/they
2K Followers 323 FollowingPostdoc with Jonas Peters at ETH. Interested in causal inference and machine learning. PhD from @MPI_IS and @CambridgeMLG.
Banner credit: @xkcd.
28 Followers 55 FollowingPh.D. Student ETH Zurich - Max Planck Institute - NASA Jet Propulsion Laboratory - Learning for Perception and Navigation - Autonomous Robots
968 Followers 663 FollowingRevolutionizing e-commerce with a unique concept: using your data to grow your income. Together, we can introduce a new work and lifestyle ideal! Join us ⏏️
22 Followers 158 FollowingAI Researcher. Jack of all trades. Enthusiastic about technology, finance and sports. Interested in future, fascinated with history.
805 Followers 379 FollowingResearch Scientist @Apple ML Research, Paris
| Stat / ML PhD Oxford @oxcsml
Working on diffusions, optimal transport and sampling
710K Followers 718 FollowingProfessor at NYU. Chief AI Scientist at Meta.
Researcher in AI, Machine Learning, Robotics, etc.
ACM Turing Award Laureate.
978K Followers 904 Following🧑🍳. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets 🧠🤖💥
943K Followers 275 FollowingWe’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.
58K Followers 638 FollowingDirector, Max Planck Institute for Intelligent Systems (@MPI_IS). Chief Scientist @meshcapade. Building 3D digital humans using vision, graphics, and learning.
229K Followers 3K Following@NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.
531K Followers 255 FollowingTogether with the AI community, we are pushing the boundaries of what’s possible through open science to create a more connected world.
266K Followers 906 FollowingMachine learning & AI researcher writing at https://t.co/A0tXWzG1p5. LLM research engineer @LightningAI. Previously stats professor at UW-Madison.
36K Followers 774 FollowingFR/US/GB AI/ML Person, Director of Research at @GoogleDeepMind, Honorary Professor at @UCL_DARK, @ELLISforEurope Fellow. All posts are personal.
45K Followers 2K FollowingML / AI researcher, emphasis on theory.
Research Director and Canada CIFAR AI Chair, @VectorInst
Professor, @UofT (Statistics/CS)
67K Followers 261 FollowingDistinguished Scientist at Google Research. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.
720 Followers 464 FollowingCLIP Interrogator infers:
"Arbeitsrat für Kunst, AI Researcher, meet the actor behind the scenes, with curls"
they/them. Co-founder & scientific lead LAION e.V.
1K Followers 678 FollowingSenior Research Scientist @NVIDIAAI. Computer Vision PhD Student @UofT/@VectorInst. Previously @IITKanpur. I like data.
Opinions here are all mine.
924 Followers 575 FollowingAssistant Professor of AI @Westlake_Uni, PI of AI for Scientific Simulation and Discovery Lab. Previously Postdoc @Stanford CS, PhD @MIT Physics
54K Followers 1K FollowingPhD at 19 |
Founder and CEO at @MedARC_AI |
Research Director at @StabilityAI |
@kaggle Notebooks GM |
Biomed. engineer @ 14 |
TEDx talk➡https://t.co/xPxwKTq6Qb
10K Followers 639 FollowingCS professor at Penn. Amazon Scholar at AWS. Author of The Ethical Algorithm (w/ Michael Kearns). I study machine learning, privacy, game theory, and fairness.
3K Followers 496 FollowingPhD student Machine Learning in Cambridge, Statistician at ❤️ In search of statistical intuition for modern ML & simple explanations for complex things 👀
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