Luca Eyring
@LucaEyring@ELLISforEurope PhD student @ExplainableML
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Can we enhance the performance of T2I models without any fine-tuning? We show that with our ReNO, Reward-based Noise Optimization, one-step models consistently surpass the performance of all current open-source Text-to-Image models within the computational budget of 20-50 sec!
We are looking for two postdoctoral researchers in our @ExplainableML group @TU_Muenchen @HelmholtzMunich @ELLISforEurope, application deadline is November 19th (fully funded, flexible starting dates, flexible topics, duration negotiable). More details 👇
The deadline for PhD applications in our @ExplainableML group @TU_Muenchen @HelmholtzMunich is tomorrow! Checkout the @ELLISforEurope PhD program if you are interested (we won’t evaluate email applications, MSc degree is a must, flexible starting dates) ellis.eu/news/ellis-phd…
1/6 Looking for neural estimators of entropic #OptimalTransport or simply cool applications of #FlowMatching? Excited by novel generative modeling tools for #SingleCell data? Check out our #GENOT #NeurIPS paper tinyurl.com/yc5deeke!
We are looking for two PhD students via the @ELLISforEurope PhD program fully funded by @TU_Muenchen and @HelmholtzMunich!
The portal is open: Our #ELLISPhD Program is now accepting applications! Apply by November 15 to work with leading #AI labs across Europe and choose your advisors among 200 top #machinelearning researchers! #JoinELLISforEurope #PhD #PhDProgram #ML ellis.eu/news/ellis-phd…
super cool! ReNO is really interesting - try it out
I’ve been lowkey working with @LucaEyring and @natanielruizg on a @Gradio demo for ReNO 🧑🔬 You can try the ReNO @huggingface here: huggingface.co/spaces/fffilon… 🤗 We still have some corners to optimize somehow, feel free to contribute if you can ✌️
I’ve been lowkey working with @LucaEyring and @natanielruizg on a @Gradio demo for ReNO 🧑🔬 You can try the ReNO @huggingface here: huggingface.co/spaces/fffilon… 🤗 We still have some corners to optimize somehow, feel free to contribute if you can ✌️
Can we enhance the performance of T2I models without any fine-tuning? We show that with our ReNO, Reward-based Noise Optimization, one-step models consistently surpass the performance of all current open-source Text-to-Image models within the computational budget of 20-50 sec!
Do you want to improve the performance of your text-to-image model without any training? That too by just looking for a better initialization noise? Sounds too good to be true? 🧵👇 x.com/LucaEyring/sta…
Can we enhance the performance of T2I models without any fine-tuning? We show that with our ReNO, Reward-based Noise Optimization, one-step models consistently surpass the performance of all current open-source Text-to-Image models within the computational budget of 20-50 sec!
Excited to attend my first conference in person #ICLR2024 Join us at the poster session on Wednesday 16:30-18:30 at poster #238! @Dominik1Klein @theo_uscidda
Dealing with undesired distribution shifts in unpaired translation tasks? Our #ICLR2024 paper shows how to mitigate them leveraging Unbalanced OT! We propose a method to incorporate unbalancedness into any neural Monge map estimator and demonstrate the benefits of unbalancedness.
🚀 Exciting Opportunity Alert! 🚀 🔍 Join us as a Postdoctoral Researcher (fully funded) at the Helmholtz Munich Institute for Explainable Machine Learning and TUM Chair of Interpretable and Reliable Machine Learning! @TU_Muenchen @Helmholtz_Munich @ELLISforEurope
Very excited to be presenting our work later today at the @lmrl_bio workshop @NeurIPSConf as a contributed talk! For further discussion, join me at poster 43 during the first poster session.
Interested in single-cell trajectory inference? Or Parameterized Monge Maps? Check out our paper "Modeling Single-Cell Dynamics using Unbalanced Parameterized Monge Maps", now accepted at @lmrl_bio ! biorxiv.org/content/10.110…
Interested in single-cell trajectory inference? Or Parameterized Monge Maps? Check out our paper "Modeling Single-Cell Dynamics using Unbalanced Parameterized Monge Maps", now accepted at @lmrl_bio ! biorxiv.org/content/10.110…
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Who to follow
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Hana Aliee
@AlieeHana -
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@MariusLange8 -
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