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Roland Kwitt Profile
Roland Kwitt

@rkwitt1982

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179
Following
429
Statuses
107

Professor for Machine Learning @ University of Salzburg

Salzburg, Austria
Joined January 2016
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@rkwitt1982
Roland Kwitt
5 months
Psyched to share that “Neural Persistence Dynamics” will be presented at #NeurIPS this year! Congrats to Sebastian, Florian and Martin! Persistence saves the day (again :) Preprint at Code at:
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@rkwitt1982
Roland Kwitt
6 months
We have just released the code for our preprint “Neural Persistence Dynamics” ( which can now be found here: Check it out (and stay tuned for updates)! #tda #topologicalmachinelearning
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@rkwitt1982
Roland Kwitt
8 months
RT @hardmaru: Language is primarily a tool for communication rather than thought “Language is a defining characte…
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@rkwitt1982
Roland Kwitt
8 months
RT @ChaoChenSBU: We are organizing a MICCAI workshop at the joint of Topological Data Analysis (TDA) and Image Analysis. Please considering…
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@rkwitt1982
Roland Kwitt
8 months
RT @s_scardapane: *Topological Deep Learning is the New Frontier for Relational Learning* Very happy to have been part of this position pa…
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@rkwitt1982
Roland Kwitt
8 months
RT @s_scardapane: @theopapamarkou was the soul beyond the project, together with a dream team of co-authors including @tolga_birdal @mmbron
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@rkwitt1982
Roland Kwitt
8 months
Check out our latest work on Neural Persistence Dynamics In a nutshell: a continuous latent variable model to capture dynamics in vectorizations of time-varying persistence diagrams. Thanks to Sebastian (Zeng) and Florian (Graf) for their great work!
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@rkwitt1982
Roland Kwitt
9 months
@Pseudomanifold @OpenAI me neither 😎
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@rkwitt1982
Roland Kwitt
11 months
RT @Pseudomanifold: 🎉 Stoked that @ErnstRoell's first Ph.D. work "Differentiable Euler Characteristic Transforms for Shape Classification"…
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@rkwitt1982
Roland Kwitt
11 months
Check out uniGradICON: A Foundation Model for Medical Image Registration Source: The first #foundationmodel (weights available) of this kind. Awesome work by Lin Tian & Hastings Greer
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@rkwitt1982
Roland Kwitt
1 year
On our way to #NeurIPS2023 to present our work "Latent SDEs on Homogeneous Spaces"; see our most up to date preprint on arXiv and check out the code with all experiments on GitHub
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@rkwitt1982
Roland Kwitt
1 year
“Latent SDEs on Homogeneous Spaces” got accepted to #NeurIPS2023 - see you (again) in New Orleans!
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@rkwitt1982
Roland Kwitt
2 years
RT @LongFormMath: No comments.
Tweet media one
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@rkwitt1982
Roland Kwitt
2 years
RT @Pseudomanifold: 🔖New preprint: Answering some (not all!) questions about the expressivity of #topology in the…
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@rkwitt1982
Roland Kwitt
2 years
@pmeerw Bots unleashed :)
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@rkwitt1982
Roland Kwitt
2 years
@pmeerw @PLUS_1622 Genau das ist das Problem an der Sache ;)
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@rkwitt1982
Roland Kwitt
2 years
@Pseudomanifold To me (ranting a bit ;) the contribution here is very very thin ... partially as this work ignores many works in the field 😏 ... and it is not hard to find those
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@rkwitt1982
Roland Kwitt
2 years
On our way to #NeurIPS2022 after an unexpected emergency landing in Glasgow and an overnight stay ...
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@rkwitt1982
Roland Kwitt
2 years
RT @typedfemale: who would win? millions of TPU-hours of RL or two cheeky austrians 😜
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@rkwitt1982
Roland Kwitt
2 years
RT @arXiv_Daily: TOAST: Topological Algorithm for Singularity Tracking by Julius von Rohrscheidt and @Pseudomanifol
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