George Dasoulas
@GDasoulas
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Postdoctoral Research Fellow @Harvard. Before: CS PhD @Polytechnique, ML Research @Huawei, ECE MSc @ntua. Machine learning for graphs.
Boston, MA
Joined May 2013
๐ฃ๐ฃ Our work on building E(n)-equivariant Topological Neural Networks (ETNNs) has been accepted at the International Conference on Learning Representations #ICLR 2025! ๐
๐ Topological Deep Learning Goes Geometric! ๐ New preprint with the amazing @ClaBat9 @mauriciogtec, @ekarais43, @audiracmichelle, @francescadomin8 ๐(๐ป)-๐๐พ๐๐ถ๐๐ฎ๐ฟ๐ถ๐ฎ๐ป๐ ๐ง๐ผ๐ฝ๐ผ๐น๐ผ๐ด๐ถ๐ฐ๐ฎ๐น ๐ก๐ฒ๐๐ฟ๐ฎ๐น ๐ก๐ฒ๐๐๐ผ๐ฟ๐ธ๐ (๐๐ง๐ก๐ก๐):
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This was a result of a great collaboration with @ClaBat9, @mauriciogtec , Ege Karaismailoฤlu, @audiracmichelle, and @francescadomin8 .๐
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RT @ClaBat9: ๐งต Our new (tiny) proposal paper is online! This is a milestone for me, as it is the first work starting to unveil *some* aspecโฆ
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Congratulations @francescadomin8 !!! More than well deserved! ๐ฅ๐ฅ๐ฅ
I am honored to be among Italy's Fortune Most Powerful Women (MPW) in 2024! @fortuneitalia @FortuneMagazine @HarvardChanSPH @harvard_data
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RT @mauriciogtec: Bayes + TDL ๐ Thrilled with this achievement! Huge thanks to my incredible team @ClaBat9 @GDasoulas. This was one fun andโฆ
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RT @ClaBat9: This is a cool intuition of @mauriciogtec that for the first time tought about giving some Bayesian flavour to Topological Deeโฆ
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RT @ClaBat9: ๐ Some exciting news about our E(n) Equivariant Topological Neural Networks (ETNNs)! 1.โ โ ๐ป We finally refactored and publishโฆ
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๐ ๐ฆ๐๐ฎ๐ ๐ง๐๐ป๐ฒ๐ฑ: Weโll be releasing the code soon! ๐ ๐ฃ๐ฟ๐ฒ๐ฝ๐ฟ๐ถ๐ป๐: #gnn #tdl #ai4science #graphs #molecular #techbio #climate
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@_onionesque @ClaBat9 @mauriciogtec @ekarais43 @audiracmichelle @francescadomin8 The code will be released soon! We look forward to your feedback!
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@PeteWirnsberger @GoogleDeepMind @IsomorphicLabs Hi Peter! It would be awesome to meet in person. Super interested in learning more about your exciting projects!
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Looking forward to it! Feel free to reach out to chat @NeurIPSConf ! #NeurIPS2023
Preparing for #NeurIPS2023! Nine from our group will attend, presenting papers, giving talks, and organizing workshops @michellemli, @AdaFang, @YEktefaie, @ZaixiZhang, @oq_35, @TianlongChen4, @GDasoulas, @YepHuang Find me giving four invited talks, I'm grateful for having a chance to share our research: ๐ฅ Dec 10 at Machine Learning for Health Symposium, @SymposiumML4H #ML4H2023 ๐ Dec 15 at New Frontiers of AI for Drug Discovery and Development, @AI4D3 ๐ธ๏ธ Dec 15 at New Frontiers in Graph Learning, โ๏ธ Dec 16 at Temporal Graph Learning, Conference papers: ๐งช @ZaixiZhang & team on Full-Atom Protein Pocket Design via Iterative Refinement โฒ๏ธ @oq_35 @tom_hartvigsen @teddykoker & team on Encoding Time-Series Explanations through Self-Supervised Model Behavior Consistency Workshops: ๐ฉโ๐ฌ Michelle, Ada, and Yasha organize AI for Drug Discovery workshop @_michellemli @AdaFang_ @YEktefaie ๐ We organize the 4th edition of AI4Science workshop @AI_for_Science We are hiring: @HarvardDBMI @KempnerInst @harvard_data @NeurIPSConf
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