kelly maggs

math PhD at @EPFL working in topology, ML and comp bio

[Heather Harrington @haharrington]

We're searching for a research group leader in topological data analysis! @mpicbg @csbdresden @tudresden_de These are wonderful independent positions to start a research group in mathematics for the life sciences. Deadline is October 4th. Please share! https://t.co/YPJWaqCJ6M

[Heather Harrington @haharrington]

We’ve started recruiting independent theory postdocs that would like to collaborate with experimentalists! Deadline 19 Sept! @csbdresden @mpicbg @mpi_pks @tudresden_de

[kelly maggs @kellymaggs7]

@viditnanda congrats mate!

[Bastian Grossenbacher-Rieck @Pseudomanifold]

Friends, I am beyond happy! I'm starting a new position as Full Professor of #MachineLearning at the University of Fribourg @unifr 🇨🇭! With #SwissAI and many other initiatives, I am taking my research at the intersection of #geometry, #topology, and #MachineLearning to a new level 🚀. This #SwissNationalDay will thus hold an even more special meaning for me—thanks for this wonderful chance, my dear confederates!

The past few years have been a veritable roller coaster 🎢, with ups and downs. Through it all, I was sustained and supported by my family, for which I am eternally grateful.

As much as we like to believe it in academia, 'no man is an island,' and I have tons of people to thank, foremost among them my postdoctoral adviser @kmborgwardt, as well as my long-term collaborators @KrishnaswamyLab and @mrguywolf. I am also indebted to my great research group at the AIDOS Lab. Working with all of you is a pleasure! 🙏

Finally, I am grateful for the advice of my mentors and role models @stefanabauer, @mmbronstein, and @guennemann (plus many others—you know who you are).

It's time to give back now and make academia better!

PS: 🔥I'm hiring soon! 🔥Please share widely and direct any inquiries to my e-mail or DM.

[Iolo Jones @iolo_jones]

Code now available for Diffusion Geometry!

Try the demo notebook at https://t.co/9E7C5k5Srv

[kelly maggs @kellymaggs7]

get this into ya folks -- instant classic

[Iolo Jones @iolo_jones]

Really pleased to finally share my preprint: Diffusion Geometry

(1/4) Diffusion geometry defines Riemannian geometry for data and probability spaces!
https://t.co/hwldYZZCdF

[Justin Curry @currying]

Finally published!

@tessel8it @sayanmukher

A Sheaf Theoretic Construction of Shape Space

https://t.co/l0ZbZyWmUf

[kelly maggs @kellymaggs7]

@sflomos @TheEndoSociety @BreastCancerNow @epflSV nice work george!

[Bastian Grossenbacher-Rieck @Pseudomanifold]

🔥Blazingly fast🔥shape classification using #geometry, #topology and #MachineLearning: Differentiable Euler Characteristic Transforms

👉Today in "Halle B #94",4:30pm CEST #ICLR2024👈
👏Outstanding work by @ErnstRoell!

📜https://t.co/GXGk2bHYfk

[kelly maggs @kellymaggs7]

@UrsSchreiber @mattecapu @DavidCorfield8 @UrsSchreiber is there a reference paper about this persistent cohomotopy stuff? sounds interesting

[kelly maggs @kellymaggs7]

@Donato29708932 @homotopykat @CeliaHacker_ @Pseudomanifold good on ya thanks don :)

[kelly maggs @kellymaggs7]

was lit to present our poster at @iclr_conf and yell about k-forms with my mate @Pseudomanifold.

thanks to all who came and chatted!

based on joint work with @CeliaHacker_ and @Pseudomanifold here: https://t.co/tZPhX999Hg

[Rubén Ballester @rballeba]

No message passing, no problem 🍩

[Bastian Grossenbacher-Rieck @Pseudomanifold]

#Geometry + #Topology = ❤️ in our work on neural k-forms.

Check out the poster in "Halle B #82," starting at 1045am CEST.

Fantastic work by @kellymaggs7, @CeliaHacker_, and YT.

#ICLR2024 #MachineLearning

[Vidit Nanda @viditnanda]

Baby #2 is due any day now, and I am too wired to do the intelligent thing (i.e., sleep).

So please join me, the wonderful @osumray, and @haharrington on a journey through some fun machine learning & representation theory.

1/11

[Bastian Grossenbacher-Rieck @Pseudomanifold]

New blog post: ᴅᴏɪɴɢ ᴍʟ ʀᴇꜱᴇᴀʀᴄʜ: ɢᴀᴛᴇꜱ ᴏᴘᴇɴ, ᴄᴏᴍᴇ ᴏɴ ɪɴ!

Intended as an invitation to #MachineLearning, in particular for researchers coming from #mathematics.

(Prompted by recent discussions in a @dagstuhl seminar!)

https://t.co/UZlCkc2KHn

[kelly maggs @kellymaggs7]

GREAT explainer on our ICLR paper with wonderful collaborators @Pseudomanifold @CeliaHacker_

just the beginning of putting the homotopy theory of k-forms and simplicial cochains into geometric deep learning💫✨

cochain complexes over R,Q are the best categories CHANGE MY MIND

[Bastian Grossenbacher-Rieck @Pseudomanifold]

🎉@iclr_conf: Simplicial Representation Learning w/ Neural k-Forms

#Geometry #MachineLearning #ICLR2024

📜https://t.co/5Y2KPsCMHk

TL;DR: Learnable differential forms = ꜰᴇᴀᴛᴜʀᴇ ᴍᴀᴘꜱ for combinatorial complexes (like graphs), enabling classification + more!

🧵1/n