Babak Esmaeili
@bob_smiley_
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Postdoc at @TUeindhoven #مهسا_امینی 🖤
Amsterdam
Joined December 2018
🚀 In our latest paper accepted to @TmlrPub ( https://t.co/lk7QnyWJwP), we present a probabilistic (Bayesian) framework in which gradients are treated as latent variables and estimated gradients are observables. (1/n)
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🎊 It has arrived 🎊, the 2nd edition of my "Deep Generative Modeling" book. It has 100 new pages, 3 new chapters (incl. #LLMs) and new sections. It covers all deep generative models that constitute the core of all #GenerativeAI techs! Check it out: 💻 https://t.co/ayRBQuPcyJ
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@SharvVadgama @GRaM_org_ @GRaM_workshop @icmlconf Follow @GRaM_org_: Geometry-Grounded Representation Learning and Generative Modeling! We've got an amazing workshop coming up (Sat 27 July, @icmlconf), w many inspiring talks ( https://t.co/AXEZ2nTv4V), and a beautiful set of contributions to appear in our proceedings! Stay tuned!
gram-workshop.github.io
Geometry-grounded Representation Learning and Generative Modeling
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Hello #GRaM enthusiasts, Sadly our previous twitter account has been compromised, and we won't be able to get hold of it soon. Hence, we have moved to our new handle @GRaM_org_. Kindly unfollow @GRaM_workshop and follow us @GRaM_org_ for more information. @icmlconf
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Recently, I have been getting more interested in #GenerativeAISystems (#GenAISys). I am convinced that a systems-based perspective on #GenAI is crucial to design more reliable, robust, and responsive #GenAI. You can read my perspective here: https://t.co/cDHZarP6OB
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The last talk of the best #GenAI summer school #GeMSS24 ( https://t.co/Z2MzoBqXan):
@MauricePeemen (@thermofisher) on #GenAI for electron microscopy
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𝑮𝒐𝒊𝒏𝒈 𝒘𝒊𝒕𝒉 𝒕𝒉𝒆 𝒇𝒍𝒐𝒘 at the Generative AI summer school #GeMSS2024 at @TUeindhoven ! What a wonderful, well-explained talk on Flow Matching by the brilliant @helibenhamu 🤩
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Easily one of the best talks I attended ever! #Flow_Matching
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Next invited lecturer at the #GenAI summer school ( https://t.co/YPpyaiQrpT) is the amazing @StephanMandt talking about #GenAI for environment! #GeMSS24
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Fantastic lecture on notoriously-hard-to-teach message passing by @liyzhen2 !
We start the 4th day of #GeMSS ( https://t.co/Z2MzoBqXan) a.k.a. the best #GenAI summer school in the world! We begin with amazing @liyzhen2 and sequential deep generative modeling ✨
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After sharing my thoughts on LLMs in the morning, now we have @jesfrellsen introducing energy-based models at the best #GenAI summer school ( https://t.co/Z2MzoBqXan) at @TUeindhoven, at the heart of @Brainport_int!
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We have kicked off! The best summer school on #GenerativeAI: ✨Generative Modeling Summer School 2024✨! We turn @TUeindhoven into the world's capitol of #GenAI. Amazing lineup: @jesfrellsen, @pamattei, @dpkingma, @liyzhen2, @helibenhamu, @StephanMandt, @ewa_szczurek, @vlamen 🤩
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Flow Matching goes Variational! 🐳 In recent work, we derive a formulation of flow matching as variational inference, obtaining regular FM as a special case. Joint work with dream team @GrigoryBartosh, @chris_naesseth, @wellingmax, and @jwvdm. 📜 https://t.co/qT5pbPc97Z 🧵1/11
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Have you ever struggled to find 𝑔𝑜𝑜𝑑 papers or understand key contributions in a new research area? Imagine a blog post breaking down complex papers into simple, graspable ideas ✨ Well, now's your chance to write a blog post on papers that inspire you! ✍️ @GRaM_workshop
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Equivariant Topological Message Passing goes Cellular 🦎 Check out our latest work on integrating topological and geometric message passing, generalizing the simplicial case to CW complexes!
(1/3) Excited to share our latest work on E(n) Equivariant Message Passing Cellular Networks (EMPCNs) extending E(n) Equivariant GNNs to CW-complexes. Read More: https://t.co/JhRZitqlUq Great work with: @erikjbekkers @FEijkelboom @pl219_Cambridge
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📢 GRaM will now accept papers (both proceedings and extended abstracts) till 𝟑𝐫𝐝 𝐉𝐮𝐧𝐞 𝟖𝐩𝐦 𝐔𝐓𝐂 !
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Fantastic opportunity for geometry-oriented folks! ✨Our @GRaM_workshop at @icmlconf 2024 ✨
📣 This year at #ICML2024 we are hosting ✨ @GRaM_workshop ✨ Geometry-grounded representation learning and generative modeling. We welcome submissions in multiple tracks i.e. 📄 Proceedings, 🆕 extended abstract, 📝Blogpost/tutorial track as well as🏆 TDA challenge.
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📣 This year at #ICML2024 we are hosting ✨ @GRaM_workshop ✨ Geometry-grounded representation learning and generative modeling. We welcome submissions in multiple tracks i.e. 📄 Proceedings, 🆕 extended abstract, 📝Blogpost/tutorial track as well as🏆 TDA challenge.
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Mixed Models with Multiple Instance Learning (MixMIL) received an Oral & Outstanding Student Paper award at @aistats_conf last week! 🏆 MixMIL enables accurate & interpretable patient label prediction from single-cell data by adding attention to GLMMs.#singlecell #MachineLearning
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