Mustafa Hajij
@HajijMustafa
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Computer Scientist, Mathematician. Topological deep learning, geometric data processing @PyT_Team_ @USFCA @DataInstituteSF. Prev @OSUengineering. .
University of San Francisco
Joined December 2020
I am proud to present TopoX, a suite of packages that facilitate deep learning computations on topological spaces. Many thanks everyone who contributed to this effort @PyT_Team_
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RT @rballeba: Paper accepted to ICLR! do you want to test if your model leverages high-order interactions? Then you should definitely check…
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RT @RomanJoeres: The last day will be the best day @NeurIPSConf. @workshopmlsb is about to start and GIFFLAR will be presented in the poste…
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RT @ponguru: 📢#NewPaperAlert Could explicitly modeling group interactions reduce spurious correlations in graph explanations? Our recent wo…
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RT @qixing_huang: I am recruiting Ph.D students this application cycles. The focus will be at the intersection of physics, topology, and ge…
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Great opportunity if you are interested in topological deep learning applications to computer vision. #TDL #TopologicalDeepLearning
Within 2025, I will be hiring several PhD candidates and Postdoctoral researchers @ICComputing to work on various aspects of #TopologicalDeepLearning (#TDL). Posts are attached. The postdoc positions are also available to apply under: #CVPR #CVML #AI #ML
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The lab is seeking talented researchers to advance topological deep learning (TDL) for cutting-edge applications like 3D generative models, protein modeling, and CAD systems.
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I am giving a talk on the 18th on Topological Deep Learning (TDL). I am going to talk about new research directions and recent software dev. Come and join us @LogConference Bay Are local meetup! @KexinHuang5
We are hosting a @LogConference Bay Area local meetup on Nov 19th! Come to Stanford to learn from and connect with the local LoG community! Register here if you decide to join or want to give a talk at the event: with @MinkaiX @jure
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RT @KexinHuang5: We are hosting a @LogConference Bay Area local meetup on Nov 19th! Come to Stanford to learn from and connect with the loc…
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RT @RomanJoeres: I returned to the molecules of my master's thesis: Glycans In #GIFFLAR, I use Combinatorial Complexes and Higher-Order Mes…
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RT @rballeba: There has been an explosion on the development of high-order networks lately. However, how good are them? Are they better tha…
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RT @rballeba: @_onionesque Thank you very much! I think this, the DONUT dataset, and several works like @ClaBat9 equivariances, @hansmriess…
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Great paper that the community really needs, congrats, and thanks, to the authors! @rballeba and others.
(1/7) Topological machine learning is a fascinating field that promises to harness the higher-order interactions encountered in complex systems, enabling new horizons to be explored and older ones to be revisited. However, in order to drive this progress, there is a critical need for topological benchmark datasets.
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@miniapeur From perspectives, I think TDL has broader set of, industry ready, applications as it strictly generlizes current successful DL methods. I'm yet to see how TDA will raise to this challenge ( it can definitely help building a feature but not an entire product, as DL is doing).
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