Piotr Tempczyk @PiotrTempczyk
PhD candidate at MIMUW, Head of AI at TradeLink, member of PL4AI, motorcycle and bike enthusiast. ptempczyk.github.io Warsaw, Poland Joined May 2017-
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Shoutout to @PiotrTempczyk et al. (authors of LIDL) for releasing their new work (arxiv.org/abs/2406.17125) and enriching FLIPD shortly after it came out!
🚀If you're interested in more manifold learning, we released another paper on the first differentiable intrinsic dimension estimator using diffusion models! 👨🏫I will present it at 2 orals @icmlconf workshops Differentiable Almost Everything, and SPIGM. Follow for more! 1/n 🧵
🚀If you're interested in more manifold learning, we released another paper on the first differentiable intrinsic dimension estimator using diffusion models! 👨🏫I will present it at 2 orals @icmlconf workshops Differentiable Almost Everything, and SPIGM. Follow for more! 1/n 🧵 https://t.co/dfwxZeFGOl
If you're attending @icmlconf, please drop by our poster at 1:30 pm: "A geometric explanation of the likelihood OOD detection paradox" Hall C 4-9 #417 @JStanczuk, @eric_nalisnick
After sharing my thoughts on LLMs in the morning, now we have @jesfrellsen introducing energy-based models at the best #GenAI summer school (gemss.ai/2024/) at @TUeindhoven, at the heart of @Brainport_int!
Happy to announce that a draft of our paper with Adam Kurpisz, Łukasz Garncarek and @d__filipiak exploring theoretical properties of intrinsic dimension estimation algorithms (LIDL, FLIPD) is now online: arxiv.org/abs/2406.17125 @przem_spurek @adam_golinski @hamid_R_kamkar
It is a great pleasure to be here, wonderful event and great people!
It is a great pleasure to be here, wonderful event and great people!
"Better than what's known" - the dream of AI in model-based optimization. Excited to present my paper with @pabbeel & @svlevine on Functional Graphical Models (arxiv.org/pdf/2401.05442) giving theoretical foundations for chasing that dream, at @aistats_conf ! #aistats_conf #ai
Deep neural nets with the right symmetries baked-in (e.g. translational equivariance in CNNs) perform better. But can we learn them from data? We can with differentiable Laplace approximations! 🌟New method: LILA🌟 with @a1mmer @vincefort, @gxr, @markvanderwilk. A thread👇 🧵1/10
Vincent is an amazing collaborator. If you're interested in probabilistic/Bayesian ML, you should definitely take a look!
Vincent is an amazing collaborator. If you're interested in probabilistic/Bayesian ML, you should definitely take a look!
The ProbAI 2022 materials 📚 and recorded lectures 🎥 are all available to the public. github.com/probabilistica…
Deadline is around two weeks! Please submit your 4-page extended abstracts on CMT!
Deadline is around two weeks! Please submit your 4-page extended abstracts on CMT!
My presentation of LIDL paper from #ICML2022 is now online: slideslive.com/38983065/lidl-… @adam_golinski @przem_spurek @r_michaluk
"Cat Knight". #StableDiffusion #AI Prompt: kneeling cat knight, portrait, finely detailed armor, intricate design, silver, silk, cinematic lighting, 4k Parameters:scale7.50-k euler By Valere: hostux.social/@valere/108939…
"Voyage through Time" is my first artpiece using #stablediffusion and I am blown away with the possibilities... We're crossing a threshold where generative AI is no longer just about novel aesthetics, but evolving into an amazing tool to build powerful, human-centered narratives
The AISTATS 2023 Call for Papers is out! aistats.org/aistats2023/ca… Submission Deadline: Thu Oct 13, AOE Program Chairs: Jennifer Dy, Jan-Willem van de Meent (@jwvdm) General Chair: Francisco Ruiz Workflow Chairs: Christian Naesseth (@chris_naesseth), Davin Hill (@davinhill_)
It was a pleasure and an honour to speak about some recent advances in Bayesian spatial modelling. Many thanks to the organisers for the invitation and their hard work @tetraduzione @Martin_Trapp @fabri_ven #TPM2022 #UAI2022 @UncertaintyInAI
It was a pleasure and an honour to speak about some recent advances in Bayesian spatial modelling. Many thanks to the organisers for the invitation and their hard work @tetraduzione @Martin_Trapp @fabri_ven #TPM2022 #UAI2022 @UncertaintyInAI
We propose a numerically stable conjugate gradients in half precision, enabling Gaussian processes on 1.8 million points on a single GPU in 10 hours, without any sparse approximations! arxiv.org/abs/2207.06856 Our new #UAI2022 paper with Andres Potapczynski and Wesley Maddox. 1/2
#TPM2022 just ended thanks everyone and @jmtomczak for the nice final discussion and...see you soon! @UncertaintyInAI
Sebastian Meitz @MeitzPL
3K Followers 4K Following Dumny mąż i ojciec. Korzenie w Świętokrzyskiem, życie w Warszawie. Praca dla Polski. Były członek zarządów SSP. 🇵🇱 State · Security · Governance · 🇺🇸/🥨
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Tomasz Trzcinski @tomasztrzcinsk1
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To ja @toja233
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Radosław Suwała @RadoslawSuwala
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Tim Reichelt @TimReichelt3
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David Grubbs @crcgrubbsd
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Pola Schwöbel @pola_schwoebel
232 Followers 254 Following Applied scientist @AWS. PhD from @DTU_Compute. Interested in probabilistic ML and AI ethics. She/her. Opinions are my own.
Tycho van der Ouderaa @tychovdo
1K Followers 2K Following Postgraduate researcher (PhD) at Imperial College London and visiting researcher at the University of Oxford. ML & AI.
Seth Nabarro @sethnabarro
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11 Followers 76 Following I am PhD student at the University of Cambridge. My research is focused on deep generative modelling.
Layer 6 AI @Layer6AI
667 Followers 31 Following Machine learning research with positive real-world impact.
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Pierre-Alexandre Matt... @pamattei
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Jes Frellsen @jesfrellsen
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Lior⚡ @LiorOnAI
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Reviewer 2 @GrumpyReviewer2
35K Followers 132 Following Archenemies of #AcademicX. We are all #Reviewer2 in someone’s academic story - Holding the throne of #PeerReview
High Impact PhD Memes @MemingPhD
41K Followers 465 Following Meming away PhD stress. Only original content! FB: https://t.co/s8zNyD0a0Q IG: https://t.co/1QzHF51N3Z
Topology Fact @TopologyFact
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Differential Eqns @diff_eq
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Computer Science @CompSciFact
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Analysis Fact @AnalysisFact
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Algebra Etc. @AlgebraFact
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Filip Piekniewski🌻... @filippie509
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UAI 2025 @UncertaintyInAI
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