Ya-Ping Hsieh @yapinghsieh
Joined May 2015-
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I am pleased to announce that together with some friends, we are organising a workshop on Non-Reversible MCMC Sampling, taking place at Newcastle University from 8–10 September 2025. Details can be found at the workshop website sites.google.com/view/probai-wo….
Interested in some foundation aspects? Waiting or unhappy about NeurIPS reviews? Plz consider NeurIPS workshop DynaFront: Dynamics at the Frontiers of Optimization, Sampling, and Games sites.google.com/view/dynafront… @yuejiec @Andrea__M @btreetaiji @T_Chavdarova ++ Sponsor appreciated!
Generative models are great at mimicking data — but real (scientific) discovery requires going beyond it. Excited to present our paper “Provable Maximum Entropy Manifold Exploration via Diffusion Models” this Wednesday at ICML 2025! We propose a scalable, theoretically grounded…
Adjoint-based diffusion samplers have simple & scalable objectives w/o impt weight complication. Like many, though, they solve degenerate Schrödinger bridges, despite all being SB-inspired. 📢 Proudly introduce #Adjoint #Schrödinger #Bridge #Sampler, a full SB-based sampler that…
I’m excited to announce that in July 2025 I will be joining @UWaterloo as an Assistant Professor in the Department of Statistics and Actuarial Science! Until then, I will continue at Princeton as a DataX Postdoc Fellow, working with Boris Hanin. I have many exciting projects…
Now that it is official, my amazing student Chris Harshaw is joining the statistics department @Columbia as an Assistant Professor. Super proud of him. chrisharshaw.com
Super excited that our work #CellOT was selected among SIB's Remarkable Outputs 2023🎉: Curious about how we can predict single-cell responses to perturbations? Take a look at our @naturemethods paper (nature.com/articles/s4159…) and the Research Briefing (nature.com/articles/s4159…)!
Super excited that our work #CellOT was selected among SIB's Remarkable Outputs 2023🎉: Curious about how we can predict single-cell responses to perturbations? Take a look at our @naturemethods paper (nature.com/articles/s4159…) and the Research Briefing (nature.com/articles/s4159…)!
📢 Two PhD positions in our group, the Sydney Algorithms and Computing Theory group (SACT) at @Eng_IT_Sydney, w/ Joachim Gudmundsson (@JoachimGudmunds)& André van Renssen Area: computational geometry, esp. geometric graphs, spanners, graph augmentation, and routing (link below)
One of my math heroes!
One of my math heroes!
speakerdeck.com/jjzhu/anna-kor… Anna Korba (ENSAE & CREST, Palaiseau, France) Sampling through Optimization of Discrepancies @Korba_Anna
(Slides ✨) Alex Mielke on the Hellinger--Kantorovich (a.k.a. Wasserstein-Fisher-Rao) Spaces and Gradient Flows. HK combines the strength of the Wasserstein and Hellinger distance. Its metric properties and gradient flows are an active area of OT research. speakerdeck.com/jjzhu/hellinge…
By one of the leaders in data science about predictability, computability and stability!
By one of the leaders in data science about predictability, computability and stability!
At the Faculty of Mathematics of @univienna, we are currently hiring a Tenure-Track Professor in the field of Mathematics of Data Science - Application deadline 15 April 2024. jobs.univie.ac.at/job/Tenure-Tra…
🚨 Paper alert: 𝗜𝗺𝗽𝗹𝗶𝗰𝗶𝘁 𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻! New work on taking gradients through sampling process, e.g. in diffusion models w @PierreMari0n @Korba_Anna Peter Bartlett @mblondel @ValentinDeBort1 @ArnaudDoucet1 @FelipeLlinares @cypaquette arxiv.org/abs/2402.05468
A great sub-genre of the functional inequalities literature is: given a curvature lower bound (which might even be negative), you can often bootstrap a weaker property (e.g. tail bounds) into a stronger property (e.g. rapid convergence of diffusion processes, isoperimetry, etc.).
A beautiful summarization of "what is time", from a physicist on quantum gravity who thinks deeply psychologically: "Time, for us, is this deeply emotional connection to the world that passes." youtube.com/watch?v=-6rWqJ…
Very pleased that our work obtaining the first linear convergence bounds for diffusion models has been awarded a spotlight at ICLR! @ValentinDeBort1 @GeorgeDeligian9 @ArnaudDoucet1
Very pleased that our work obtaining the first linear convergence bounds for diffusion models has been awarded a spotlight at ICLR! @ValentinDeBort1 @GeorgeDeligian9 @ArnaudDoucet1
I recently gave a talk at the Stanford ISL colloquium entitled ‘Toward a Grand Unified Theory of Accelerations in Optimization and Machine Learning.’ youtu.be/MRNrbLRxNyg In this talk, I explain why I find acceleration an exciting and vibrant subject.
Join us for the 1st Machine Learning for Genomics Explorations (#MLGenX) workshop at #ICLR2024 on May 11, 2024 in Vienna 🇦🇹! ✨Stay tuned for fantastic keynotes on foundation models, generalizability, and causal methods for genomics! 🗒️Working in this space? Then submit a paper!
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Amin Karbasi @aminkarbasi
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Sepehr Heidari @SepehrHeidari81
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Kamilė Stankevičiū... @kamilest
495 Followers 458 Following Machine Learning PhD student @Cambridge_CL, visiting @CornellCIS; previously @CompSciOxford, @Google. Principled ML & applications in medicine.
sine @squigglysine
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Mik @MikhailObv51347
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Clock Wision @HomeDemonCrouch
66 Followers 2K Following Clockwise vision. I write things just for myself. I tweet by commenting other's tweets. I don't buy followers. If you want to follow me, put me in a list.
Eva Louise Marie Gabr... @e681554349
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768 Followers 328 Following Associate Professor at @RutgersU Optimization, Data Science, Applied Math
leloy! @leloykun
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222 Followers 268 Following Postgrad Student,Department of Computer Science, Stony Brook Unicersity
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97 Followers 7K Following
Rentian Yao @RentianY
38 Followers 170 Following Current postdoc in Math @ UBC. Got PhD in Statistics @ UIUC and BS in Math @ Fudan. Working on optimal transport, trajectory inference, and Bayesian statistics
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Soham @sohamg121
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Bion @flesheatingemu
545 Followers 8K Following Futurist philosophy, molec neuro/immuno, pathophys, software eng, AI enjoyer Made an Apache/MIT `tree` util with tokens, lines, and module components
Ben Grimmer @prof_grimmer
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Pierre Ablin @PierreAblin
6K Followers 361 Following https://t.co/sNXqNTO0Vm Machine learning research @Apple
Wei Guo @WeiGuo01
228 Followers 749 Following ML PhD @ Georgia Tech (previously Math Undergrad @ PKU): Sampling (MCMC) / Diffusion Models / Generative AI / Machine Learning Theory
Haoxuan (Steve) Chen @haoxuan_steve_c
961 Followers 3K Following Ph.D. in ICME @Stanford; B.S. @Caltech; ML Intern @AmazonScience @NECLabsAmerica; Applied & Computational Math/Machine Learning/Statistics/Scientific Computing
Yuanzhi @yuanzhi_zhu
254 Followers 740 Following PhD Student in École Polytechnique Currently interested in CV, ML. Opinions are my own.
Omar Chehab @lomarchehab
201 Followers 306 Following Postdoc in Machine Learning at Carnegie Mellon @mldcmu. Working on sampling and estimating energy-based models.
Zoe Zhiqiu Jiang @zhiqiujiang
52 Followers 168 Following Postdoc Researcher at CISPA Helmholtz Center for Information Security An enthusiast in big ideas in AI
Qingyue Zhao @ZhaoQingyue
179 Followers 1K Following Machine Learning, Optimization, Information Theory
Bernardo Fichera @BernardoFichera
8 Followers 7 Following
Athina Sotiropoulou @AthenaSotirop
49 Followers 449 Following MSc in Computational Science & Engineering from @ETH_en
Mowbray @MowbrayRv
23 Followers 2K Following $ whoami Grad student @iitmadras | prev @iiscbangalore $ cat research.txt RL | Controls $ echo "Shifting gears: from building machines → making them learn"
Mircea Petrache @MirceaSci
709 Followers 301 Following Doing maths research (geom. analysis, metric geometry, large point configs., opt. transport, etc) since ~2010, deep learning and applied research since ~2020.
Jaeyeon (Jay) Kim @Jaeyeon_Kim_0
561 Followers 253 Following Ph.D. student in CS @Harvard | Previously @SeoulNatlUni B.S. in Math
Euler @franzp97
3 Followers 129 Following
Gabriel Peyré @gabrielpeyre
101K Followers 453 Following @CNRS researcher at @ENS_ULM. One tweet a day on computational mathematics.
Clément Canonne (on ... @ccanonne_
37K Followers 65 Following Senior Lecturer @Sydney_Uni. Formerly Postdocs @IBMResearch, @Stanford; PhD @Columbia. Converts ☕ into puns: sometimes theorems. He/him. @ccanonne.bsky.social
Yann LeCun @ylecun
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Gautam Kamath @thegautamkamath
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Amin Karbasi @aminkarbasi
11K Followers 3K Following Senior director of Cisco Foundation AI, Former Chief Scientist at Robust Intelligence. ex Professor at Yale University, ex staff research scientist at Google.
Francesco Orabona @bremen79
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Peter Richtarik @peter_richtarik
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Yisong Yue @yisongyue
22K Followers 3K Following Machine Learning @Caltech (@YueLabCaltech). AI for invention at @AsariAILabs.
Lenka Zdeborova @zdeborova
15K Followers 448 Following Professor at EPFL. Une mathémaphysinformaticienne. Passionate mushroom hunter. Tamer of two little dragons.
Jason Lee @jasondeanlee
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Ilija Bogunovic @ilijabogunovic
1K Followers 395 Following Assistant Prof/Lecturer @ UCL. Previously at @ETH, @MIT_CSAIL, @Twitter, and @EPFL
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58K Followers 1K Following I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
Peyman Milanfar @docmilanfar
94K Followers 501 Following Distinguished Scientist at Google. Computational Imaging, Machine Learning, and Vision. Tweets = personal opinions. May change or disappear over time.
Dimitris Papailiopoul... @DimitrisPapail
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Elad Hazan @HazanPrinceton
14K Followers 220 Following machine learning and optimization @PrincetonCS & Google DeepMind Princeton, dad^3
Csaba Szepesvari @CsabaSzepesvari
11K Followers 722 Following "If there is not folly in the world, then the world itself is folly. You must understand that mistakes are not always regrets." - Paul Tobin, Bandette🤠
NeurIPS Conference @NeurIPSConf
140K Followers 39 Following San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Tweets to this account are not monitored. Please send feedback to [email protected].
Lam Chi Thanh (Steve) @chi_thanh_lam
79 Followers 309 Following Quant @ Citadel Securities. PhD student @ National University of Singapore NUS. Visiting Student @ MIT LIDS.
Kirill Neklyudov @k_neklyudov
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Mahdi Haghifam @HaghifamMahdi
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Riccardo De Santi @desariky
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Ben Grimmer @prof_grimmer
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Erwin Schrödinger In... @ESIVienna
635 Followers 586 Following The Erwin Schrödinger International Institute is a visitors-oriented research institute for #Mathematics and #Physics at @univienna. @[email protected]
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Bernardo Fichera @BernardoFichera
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Athina Sotiropoulou @AthenaSotirop
49 Followers 449 Following MSc in Computational Science & Engineering from @ETH_en
Alexander Terenin - o... @avt_im
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Mircea Petrache @MirceaSci
709 Followers 301 Following Doing maths research (geom. analysis, metric geometry, large point configs., opt. transport, etc) since ~2010, deep learning and applied research since ~2020.
Jaeyeon (Jay) Kim @Jaeyeon_Kim_0
561 Followers 253 Following Ph.D. student in CS @Harvard | Previously @SeoulNatlUni B.S. in Math
Nicolas Loizou @NicLoizou
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Johannes Kirschner @j_kirschner
79 Followers 152 Following
Giorgia Ramponi @gio_ramponi
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Barna Pásztor @pasztorb
158 Followers 231 Following Doctoral Fellow @ETH_AI_Center | Multi-Agent Reinforcement Learning | Social Dilemmas | Cooperative AI
Lisa Feldman Barrett @LFeldmanBarrett
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Viacheslav Borovitski... @vabor112
616 Followers 175 Following Assistant Professor in Machine Learning @EdinburghUni. PhD in Mathematics. Ex @ETH_en. Also on 🦋: @vabor112.bsky.social
Thomas Sanchez @__tsanchez
42 Followers 140 Following
Sam Buchanan @_sdbuchanan
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Diyi Yang @Diyi_Yang
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Sebastián Gutiérrez... @Sebas_Gut_Hdz
41 Followers 218 Following CSE Ph.D. student from the School of Mathematics at Georgia Tech. I write short reviews of papers that I'm reading.
Jia-Jie Zhu (hiring) @__jzhu__
804 Followers 452 Following Head of research group in optimization / machine learning at Weierstrass Berlin. Former postdoc in machine learning @MPI_IS Tübingen, PhD in optimization @UF.
Yuanqi Du @YuanqiD
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Fanghui Liu @Fanghui_SgrA
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Xin Chen, Cynthia @XinCynthiaChen
793 Followers 427 Following Direct Doctorate student @ETH_en, with research focus on AI Safety and Alignment. 1st year in my (full) PhD. Formerly at @CHAI_Berkeley.
Matteo Pariset @pariset_matteo
47 Followers 31 Following Previously research assistant @ETH - Computer scientist @EPFL - AI poet
Krishna Balasubramani... @krizna_b
552 Followers 493 Following Associate professor at @ucdavis #machinelearning #deeplearning #probability #statistics #optimization #sampling
Luca Viano @LucaViano4
403 Followers 425 Following Optimist in face of the uncertainty, PhD student @EPFL
WiMLDS Paris @WiMLDS_Paris
3K Followers 2K Following Paris Women in Machine Learning & Data Science chapter | 2019 Science & Research Award | 💻 @MrsCaroline_C @cazencott @ncernecka @MarieSacksick @bennis_jihane
James Thornton @JamesTThorn
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David Holzmüller @DHolzmueller
610 Followers 318 Following Postdoc in machine learning with @BachFrancis @GaelVaroquaux: neural networks, tabular data, atomistic ML, active learning, learning theory. Also on 🦋.
Youssef Allouah @ys_alh
143 Followers 265 Following PhD in CS at @EPFL_en. Working on trustworthy AI/ML. Previously: @Polytechnique, @AmazonScience, @StanfordAILab.
Niklas Stoehr @niklas_stoehr
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Radu Ioan Boț @RaduIoanBot
195 Followers 104 Following Professor of Mathematics - University of Vienna 🇪🇺🇷🇴🇩🇪🇦🇹
Yongxin Chen @YongxinChen1
510 Followers 276 Following Associate Professor at Georgia Tech. Areas: Control, Optimal Transport, Generative AI, Robotics, MCMC sampling
Alex Hägele @haeggee
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Amartya Sanyal @AmartyaSanyal
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Yifan Hu @YifanHu17
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Aritra Mitra @amitra_90
639 Followers 528 Following Assistant Professor at NC State (ECE)| Postdoc from U Penn | Ph.D. from Purdue | Interested in Control, Optimization, Learning, Multi-Agent Systems.Trends for United States
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