Sören Arlt
@soerenarlt
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phd student at the artificial scientist lab @MPI_Light https://t.co/nmbWaEnX1u
Erlangen
Joined May 2021
Very happy about our super-fast JAX simulator for optics, with an application in automated discovery of new microscopes. Spearheaded by @carlardrguez96 , with @soerenarlt and our domain expert @LMoeckl . Fantastic collaboration made possible by the @MPI_Light environment! When
Happy to see our work in its published version at @NatureComms ! We developed an AI framework that autonomously discovers new experimental designs in super-resolution microscopy 🔬🤖✨ 1/🧵
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I am in Vienna this week at ICML to present our work (@HaonanDuan , Felix Li, @sangmichaelxie, @Yuhu_ai_ & @MarioKrenn6240) at the AI4Science workshop. DM me if you want to meet!
After 3 years, FINALLY out 🥳 Meta-Designing Quantum Experiments with Language Models by @soerenarlt, Haonan Duan, Felix Li, @sangmichaelxie & @Yuhu_ai_ [paper] https://t.co/WLewyDL124 A transformer writes Python to solve classes of quantum design questions simultaneously.
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Congratulations to the best poster award winners at NeurIPS AI for Science workshop! @carlardrguez96 Sören Arlt @LMoeckl @MarioKrenn6240
@Prozwood @EdwardMehrez @ludgerpaehler @WenSun1 @eigensteve
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So excited to have received the best poster award for XLuminA in the @AI_for_Science @NeurIPSConf workshop!! Thank you all for the nice discussions, it’s been a pleasure! 🥇🥳🤩 #NeurIPS2023
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✨XLuminA's ✨ source code is now available 🎉!! Check out our latest preprint version with additional performance analysis and new solutions discovered by our software! 🤖🔬✨ https://t.co/dMh6UmrtHX
@soerenarlt @LMoeckl @MarioKrenn6240
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I'll be in person (Dec 10-16) @NeurIPSConf @AI_for_Science workshop presenting as an oral contribution our work on AI-discovery of new experimental blueprints in optics and advanced microscopy [ https://t.co/dMh6UmrtHX] 🔬🤖✨! @soerenarlt @LMoeckl @MarioKrenn6240
arxiv.org
Driven by human ingenuity and creativity, the discovery of super-resolution techniques, which circumvent the classical diffraction limit of light, represent a leap in optical microscopy. However,...
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XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy🤩 https://t.co/ZVZfGAvRon spearheaded by @carlardrguez96 /w @soerenarlt & @LMoeckl @MPI_Light Insanely fast JAX simulator for optical setups, for AI-discovery of fancy new microscope ideas 👨🔬🤖
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1st release day in my group is HUUUGE🤩 Lead by awesome @soerenarlt @cruizgo_ we present PyTheus for advanced discovery in quantum optics: 1) Discover 100 (!!) diverse NEW experiments (44p 62fgs) https://t.co/RJz3eYeFhf 2) Scientific Concept Discovery https://t.co/bU5HmqjZdK 🧵
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really cool application of large language models for translating natural language mathematics into formal proof language - teaching machines to prove theorems!
After showing a few examples, large language models can translate natural language mathematical statements into formal specifications. We autoformalize 4K theorems as new data to train our neural theorem prover, achieving SOTA on miniF2F! 1/ Paper: https://t.co/QTFUKPiPCs
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Seeing that this is the best way we know to fit this many equal squares inside a square makes me feel a bit better about struggling to fit the plates in the dishwasher!
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Article in @sciam about our multi-year effort towards creative #AI-designed #quantum experiments 🤖🦾 With great comments by @QuantumAephraim, Renato Renner, @ericcavalcanti & Nora Tischler 🙃😃 https://t.co/pWBXgqWVpO by @anilananth
scientificamerican.com
Originally built to speed up calculations, a machine-learning system is now making shocking progress at the frontiers of experimental quantum physics
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