#astroml 搜尋結果

Excited to share our NeurIPS 2025 paper Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions! #neurips2025 #DiffusionModels #AstroML In this work, we introduce Astro-DSB, a novel diffusion bridge-based approach designed to tackle astrophysical inversion…

The 3rd #AstroML #JournalClub is here!🧑‍💻🧑‍🏫🪐 Visit our site and get to know the #JournalClub and the interesting presentations it offers ☄️ spl.ics.forth.gr/titan/communic…

#EAS2023 announcement is out … If you are an #astroML scientist, please consider submitting an abstract to symposium #4 (S4) “Machine Learning prospective in Astrophysics: challenges, limitations, failures, and potentials” …

Really happy to start my PhD research at @unibirmingham!🌝🌝🌝 #AstroML

This afternoon PhD student @mBowlesAI will talk about attention based classification for radio astronomy and the effect of using E(2) equivariant convolution kernels in the #NAM2021 #astroML session @jodrellbank @turinginst @UoMPhysics @bowles1981

Psyched to be on the @TensorFlow blog today! Great ideas for this work from @yaringal and Lewis Smith of @OATML_Oxford. #AstroML folk - find friendly computer scientists, you can be nerds together! Sneak peak of what's next... (1/2)

Come by the @NumFOCUS booth, several of are here to chat about astroquery, and I'm happy to talk about many of the other @astropy affiliated packages, like #astroML.

And now we do deep learning at the astroML workshop. #astroml #AAS235

The #astroML workshop is kicking off at #aas235 with @AstroBrigi @mjuric et al. Learn more here github.com/astroML/astroM…

#astroML and the new edition of the textbook at #AAS235. Have a look at the poster today, or come and find me to chat at the NumFOCUS/@astropy booth Tuesday afternoon, or check out the book at the @PrincetonUPress booth.

Come and stop by at the #astroML poster in the exhibit hall today to chat about the package and the new, updated edition of the textbook. #AAS235 #python

For those attending #AAS235 and want to learn from the best about @astroML #astroML check out this workshop shorturl.at/tO134 and the new 2nd ed. shorturl.at/oPSU2

I'm collecting some examples for usage of #astroML (astroML.org) as coursework material. It can be either the textbook or the code for the figures or the library itself. Please let me know what course you use it for teaching or where you learnt it.

Hey #AstroML #MachineLearning folks, has anyone done any work with 3D Convolutional Layers? Wondering if they might be useful in analysing IFU cubes are something?

Registration is open for the upcoming #astroML workshop (to be held #AAS235). We'll focus on the new material covered in the 2nd edition of the book "Statistics, Data Mining, and Machine Learning in Astronomy". More info: astroml.org/workshops/AAS2…

Don't let a histogram's number of bins fool you. Check out the Bayesian Blocks #algorithm, the #AstroML #python module, and the amazing @LSST project! Thanks, Prof. Željko Ivezić! #SPSAS2019 #BigData #astroinformatics #DataScience

Another @PyTorch #deeplearning #astroML dataset: this time for FRI/FRII radio galaxy classification using the NVSS & FIRST surveys. ✨💫 The #FRDEEP Batched Dataset is released by @abo060313. You can find it, along with some @JupyterN CNN examples here: hongmingtang060313.github.io/FR-DEEP/

It’s been a great team effort, can’t wait to see what you all get up to as you classify objects, learn about how amazing the “data fire hose” of #LSST will be! #astroML #MachineLearning #DataScience #Kaggle

Second talk of the day at #pyastrp18 is about predicting solar flares with machine learning by Monica Bobra. A nice summary of what tools are available, mentioning among others #astroML 😍

Excited to share our NeurIPS 2025 paper Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions! #neurips2025 #DiffusionModels #AstroML In this work, we introduce Astro-DSB, a novel diffusion bridge-based approach designed to tackle astrophysical inversion…

#AstroML: #MachineLearning and #DataMining for #Astronomy. #BigData #DataScience #AI #Python buff.ly/2bJyHEp

#AstroML: Machine Learning and #DataMining for Astronomy. #BigData #MachineLearning #DataScience #AI #Python buff.ly/2lc48Rk

Cool, our #astroML textbook won a thing! I'm going to put this on my fridge.

Look what came in the mail today! #astroML

Away for a while but not giving up on getting a postdoc. Time to get stuck in.. #astroml #oldIDLdognewtricks

Glorious! RT @gully_ ALL DA ASTROML BOOKS @jakevdp #astroML #ATXastroML

Don't let a histogram's number of bins fool you. Check out the Bayesian Blocks #algorithm, the #AstroML #python module, and the amazing @LSST project! Thanks, Prof. Željko Ivezić! #SPSAS2019 #BigData #astroinformatics #DataScience

RT @gp_pulipaka #AstroML: #MachineLearning and #DataMining for #Astronomy. #BigData #Python buff.ly/2bJyHEp

And now we do deep learning at the astroML workshop. #astroml #AAS235

#astroML and the new edition of the textbook at #AAS235. Have a look at the poster today, or come and find me to chat at the NumFOCUS/@astropy booth Tuesday afternoon, or check out the book at the @PrincetonUPress booth.

@mccushing Here's version with another algorithm. The gaussian processes from sklearn via #astroML (Fig 8-10)

The 3rd #AstroML #JournalClub is here!🧑‍💻🧑‍🏫🪐 Visit our site and get to know the #JournalClub and the interesting presentations it offers ☄️ spl.ics.forth.gr/titan/communic…

For modern Astronomers, it’s learn to code or get left behind wired.com/2017/05/modern… #AstroPy #AstroML #Python #Astronomy

The #astroML workshop is kicking off at #aas235 with @AstroBrigi @mjuric et al. Learn more here github.com/astroML/astroM…

This afternoon PhD student @mBowlesAI will talk about attention based classification for radio astronomy and the effect of using E(2) equivariant convolution kernels in the #NAM2021 #astroML session @jodrellbank @turinginst @UoMPhysics @bowles1981