Leslie O'Bray
@leslieobray
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Statuses
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Research Scientist at Isomorphic Labs
Joined November 2020
RT @kmborgwardt: A great opportunity for young scientists to lead their own research lab: Apply by May 11 for a Max Planck Group Leader pos…
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RT @Pseudomanifold: 🔖New preprint: Answering some (not all!) questions about the expressivity of #topology in the…
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RT @AGKBorgwardt: As of today, we are now the Department for Machine Learning and Systems Biology @MPI_Biochem! htt…
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RT @kmborgwardt: After 8 great years @ETH_BSSE @ETH, I am moving to #Munich in February 2023 to become director at the Max Planck Institute…
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RT @kmborgwardt: Register (for free) for our in-person symposium on "#MachineLearning Frontiers in #PrecisionMedicine" in Munich on October…
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RT @Pseudomanifold: Preprint w/ @JRohrscheidt, my first PhD student 🎈. Couldn't be a prouder PI right now! 🤯 #AcademicTwitter For the curio…
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RT @Pseudomanifold: 🤯Floored by receiving more than 250 submissions for the "Learning on Graphs" Conference! @LogConference 🖼️Look at thi…
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RT @Pseudomanifold: Hey y'all 👋! Please consider submitting your work to @LogConference. Abstracts are due on 9/9 AoE! 🔥 2 tracks: extende…
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RT @Jutzeler_Cathy: 📢 PhD Position Announcement: Together with Dr Zina-Mary Manjaly @SchulthessNews and Prof. Ender Konukoglu @ETH_en, we a…
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RT @Pseudomanifold: I have the honour of giving a virtual keynote on 𝐓𝐡𝐞 𝐌𝐞𝐦𝐨𝐫𝐲 𝐨𝐟 𝐏𝐞𝐫𝐬𝐢𝐬𝐭𝐞𝐧𝐜𝐞 at the #ICML2022 Workshop on #Topology, Alge…
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RT @Pseudomanifold: This one's also a very fun collaboration on an exciting topic! Soon to be presented at the @TAGinDS workshop @icmlconf!…
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RT @Pseudomanifold: This is joint work with @CorinnaCoupette and @drjilles, and was honestly one of the most awe-inspiring, fun collaborati…
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Happy to share the camera-ready version of our paper "Structure-Aware Transformer for Graph Representation Learning," which was accepted at #ICML2022! Joint work with Dexiong Chen and @kmborgwardt. paper: code:
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RT @Pseudomanifold: Happening today: 👉the 2nd ICLR Workshop on Geometrical and Topological Representation Learning Check out the awesome p…
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Looking forward to presenting our #ICLR2022 spotlight paper Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions at the poster session on Thursday at 11:30 CEST. @Pseudomanifold @ExpectationMax @kmborgwardt
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RT @Pseudomanifold: 📣 New #ICLR2022 spotlight paper alert! Interested in graph generation and want to evaluate your model? 👉We point out…
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RT @Pseudomanifold: Along the way, we also show why certain choices of distances do not lend themselves to be used as kernels. 😱 Outstandi…
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RT @Pseudomanifold: Thanks so much! 😊 This was a momentous team effort involving (in no particular order): @leslieobray, @ExpectationMax,…
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RT @AGKBorgwardt: The MLCB lab (@ETH_BSSE, @ETH_en) offers a postdoc position (up to 12 months) at the interface of Machine Learning and Bi…
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