Anirudh Rayas @RayasAnirudh
Postdoc @gameschoolasu | Ph.D. @ASUEnergy | GenAI ∪ Statistics ∪ Graphs anirudhrayas.github.io Tempe, AZ Joined May 2021-
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I am excited to share a new paper titled “Designing for Disclosure in Data Visualizations” set to appear at IEEE VIS 2025 (link below). 1/n
This workshop looks genuinely like a great step for statistics. What I like most is that it is young star researchers as speakers, and not a bunch of geriatrics talking about old stuff, like most stats conferences. fsmlims.wixsite.com/fsml25
Learning Networks from Wide-Sense Stationary Stochastic Processes ift.tt/2BwJPyi
since high dimensions are all the hype now, what is your favorite and most counter-intuitive high-dim phenomenon? this is still my favorite one:
🎓💻 Check out Krisha Mehta's @KrishaMehta2 testimonial! A a 2022 Fatima Fellowship fellow, she worked under her mentor Marouen Ben Guebila @marouenbg. She's now doing Ph.D. in computer science at the University of Chicago. [Watch her testimonial: youtube.com/watch?v=D2Pu0H…]
Just delivered 4 lectures on low-dimensional models for deep learning at ACDL yesterday to over 150 graduate students. Now all slides are online, it is a very good summary of our work in the last several years. acdl2023.icas.cc/prof-qing-qus-…
Happy to share the results of our latest project with @lugosi_gabor! TL;DR: Online-to-PAC conversions allow translating comparator-dependent regret bounds to algorithm-dependent generalization bounds. arxiv.org/abs/2305.19674 Read on for some more details! 1/
Highly recommended if you are interested in the convergence of SGD for smooth nonconvex functions. Prior literature uses various assumptions to carry out the analysis. We show how they are related, and propose a new assumption that is weaker than them all.
Highly recommended if you are interested in the convergence of SGD for smooth nonconvex functions. Prior literature uses various assumptions to carry out the analysis. We show how they are related, and propose a new assumption that is weaker than them all. https://t.co/o3BsnRKGxX
1 more reason to love testable learning. Classical stat. learning says: uniform convergence (small rademacher cmplxty on given dist) is sufficient but not necessary for learning. Indeed, "Empirical Risk Minimization" can fit classifiers to random noise & yet succeed in learning.
1 more reason to love testable learning. Classical stat. learning says: uniform convergence (small rademacher cmplxty on given dist) is sufficient but not necessary for learning. Indeed, "Empirical Risk Minimization" can fit classifiers to random noise & yet succeed in learning. https://t.co/J8dwBcPau6
.@kevinjtian and I tried to write a blog post and idk what happened but next thing you know we had half a monograph. For those intimidated by proofs of Quantum Singular Value Transformation: try our versions! arxiv.org/abs/2302.14324
Isotropic Gaussian Processes on Finite Spaces of Graphs (AISTATS 2023) Have you ever wanted a Gaussian process taking unweighted graphs as inputs, e.g. for Bayesian optimization in drug design? Here we propose such models in a principled way. (1/10) arxiv.org/abs/2211.01689
Excited to announce the Workshop on Information-theoretic Methods for Trustworthy Machine Learning at the Simons Institute from May 22nd-25th! Stay tuned for more details: simons.berkeley.edu/workshops/asu-…
A course by Emmanuel Candès with an interesting selection of topics and a great set of notes. Some topics covered: Multiple hypothesis testing, False discovery rate (and control via Benjamini-Hochberg), Knockoff filters, e-values, conformal inference etc. candes.su.domains/teaching/stats…
A great mathematician named Madhava, working in Kerala, India, discovered the power series for sin(x) in the 1300s, hundreds of years before Newton, Leibniz, Gregory, Taylor, et al. In this video, master teacher @garyrubinstein shows how Madhava did it: youtube.com/watch?v=mzigLb…
Decoupling: a 🧵. Computing functions of dependent random variables X₁, …, Xₙ can be quite tricky. Wouldn't it be nice if we could replace these by their "independent copies" X̃₁, …, X̃ₙ, where each Xᵢ, X̃ᵢ are identical in distr but the X̃ᵢ are mutually independent?
🔖New preprint: arxiv.org/abs/2302.09826 Answering some (not all!) questions about the expressivity of #topology in the context of #MachineLearning for graphs. TL;DR: persistent homology is awesome and can 'simulate' a corresponding WL test (even for higher orders). 🤯 🧵1/6
Our lastest work with @_brloureiro, @Aufinal & @l_arnaboldi on a unifying theory of SGD for 2-layer nets arxiv.org/pdf/2302.05882 that bridges many different regimes (mean-field PDEs, high-dimensional ODEs, classical gradient flow...) together
Even sparser random projections for Johnson-Lindenstrauss transforms and oblivious subspace embeddings! New preprint on arXiv: arxiv.org/abs/2302.06165 With @minilek
🤖Princeton ML Theory Summer School🤖 June 26 - June 30, 2023 Lectures by @CPehlevan, Philippe Rigollet, @ArthurJacot3, Jeffrey Pennington, Ben Adlam Apply at mlschool.princeton.edu Share widely @Princeton @EPrinceton @NSF
Glad to announce that our work “Dynamic Interventions for Networked Contagions,” co-authored with Sid Banerjee (@banerjee_sid) and Jon Kleinberg, has been accepted at @TheWebConf 2023 (formerly known as WWW 2023)! Preprint: arxiv.org/abs/2205.13394 A thread 🧵 1/n
JohnSnowLabs @JohnSnowLabs
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Ayan Das @dasayan05
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Conference on Parsimo... @CPALconf
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Rajeev Ramprasad @_rajeevram
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Adam Elmachtoub @Adam235711
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Statistics Dept - U o... @StatsUMan
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Chetan Sudarshan @ChetanSudarshan
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Martina Contisciani @mcontisc
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Jiliang Tang @tangjiliang
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369 Followers 898 Following Machine Learning Researcher. Science Enthusiast. Poetry Lover. "The creative adult is the child who survived"
Bernardo Subercaseaux... @b_subercaseaux
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Sujan Bandyopadhyay @bandyo_sujan
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Divya Kulkarni @divyayyy
3K Followers 3K Following Research Fellow @Harvardmed || Ph.D. @IITGuwahati || ಕನ್ನಡತಿ || tweets = Machine Learning/My Research/Cricket (occasional *blahh* posting!!) (views - personal)
Cindy Rush @CindyRush
2K Followers 1K Following Associate Professor of Stats @Columbia. Interested in Machine Learning, Info Theory, and Statistics.
Neil Mallinar @nmallinar
276 Followers 661 Following PhD student @ UCSD, prior to that: Research Intern @ Google Research & MSR NE, Research Engineer at Pryon Inc & IBM Watson.
Elizabeth Yang @eytyang
803 Followers 695 Following technical staff @openai, previously theory @berkeleyeecs, eng @twosigma, math @princeton | fan of graphs, crosswords, turtles, bad puns, running, and Survivor
Pasquale Minervini @PMinervini
9K Followers 5K Following Research in ML/NLP at the U of Edinburgh (tenured faculty @InfAtEd @EdinburghNLP), Co-Founder @Miniml_AI, @ELLISforEurope Scholar, https://t.co/5dUI3EFexo
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624 Followers 2K Following Research Associate at Alan Turing Institute
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660 Followers 1K Following Assistant Professor at @ASU @WPCareySchool PhD from Cornell CS ex: @msftresearch, @twitter/@x, @ntua
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106 Followers 571 Following Deep Learning & Dynamical Systems Research! ECE PhD Candidate at UIUC; CS & Econ BA from UC Berkeley
Max Thiessen @maxthiessen_ml
448 Followers 704 Following PhD student in machine learning @tu_wien. graph learning | convexity | learning theory
Sanket Shah @sunk8th
294 Followers 1K Following CS PhD @ Harvard | Social Impact and Machine Learning
Dror Baron @BaronDror
429 Followers 387 Following Professor @ncstateece | ex-{@TechnionLive, @RiceUniversity, @ECEILLINOIS} | research in information theory, quantum computing, & signal processing.
Ganesh Kini @gkayakg
105 Followers 1K Following PhD candidate at UCSB | Interested in machine learning, deep learning, signal processing | Masters from IISc
Alek Sobczyk @AleksandrosSob1
412 Followers 394 Following Huawei Research Center, Zurich. Views are my own.
Idan Attias @IdanAttias
422 Followers 595 Following Postdoc researcher at IDEAL Institute in Chicago, hosted by UIC and TTIC. Interested in machine learning theory, sequential decision-making, and TCS.
Jenny @Jenny879879
8 Followers 82 Following I’m Jenny, from LA, California. I work for International Logistics Shipping.I have Masters in business management and degree in Computer Science.
Rohan Pandey @khoomeik
39K Followers 2K Following descending cross-entropy to ascend entropy @PeriodicLabs || prev research @OpenAI @CarnegieMellon '23
ASU_APG @ApgAsu
251 Followers 205 Following #ASU Active Perception Group A new American computing research group / A forum for debating research ideas / A circle of open-mind collaborators... @Prof_YZ
Heni Ben Amor @asurobot
1K Followers 470 Following Visiting Faculty @ Google DeepMind | Associate Professor for Robotics and Machine Learning at Arizona State University. Director of Interactive Robotics Lab.
Simran Arora @simran_s_arora
5K Followers 207 Following building ai systems, cs phd @stanford @hazyresearch, incoming asst. prof. @caltech
Yuchen Zhu @YuchenZhu_ZYC
303 Followers 459 Following ML PhD student @GeorgiaTech. diffusion/flow, multimodal foundation models, AI4Science. Alumni @yale @nyushanghai
Morteza Mardani @MardaniMorteza
2K Followers 2K Following Principal Scientist @NVIDIA | Visiting Researcher @Stanford | Bridging theory & practice in ML, generative modeling & diffusion/flow models
Ayan Das @dasayan05
1K Followers 1K Following Research Scientist @Huawei Research UK | PhD | Generative Models | Theory & Applied | Diffusion is ❤️ | Blogs @ https://t.co/wlzHeUFhk2 | 🇬🇧 🇮🇳
Dongjun Kim @gimdong58085414
854 Followers 726 Following PostDoc at Stanford; Diffusion models; All words are my own
Xinyin Ma @horseeeMa
393 Followers 224 Following Ph.D. Candidate at National University of Singapore @NUSingapore. Interested in efficient learning for Diffusion Models, LLM, ... || Google PhD Fellowship 2024
Marianne Arriola @mariannearr
922 Followers 236 Following CS PhD student @Cornell; Diffusion language models
Matthew Jackson @JacksonMattT
849 Followers 530 Following SR @GoogleDeepMind (Genie), ex @wayve_ai (GAIA) | PhD student @whi_rl & @flair_ox | Video Models, Diffusion, and Offline RL
Masatoshi Uehara @Masa_Uehara_1
282 Followers 15 Following Research Scientist at @EvoscaleAI (Incoming AP at @WisconsinCS) Interests: RL + Diffusion models, AI for biology Previous: @Cornell, @genentech
Sander Dieleman @sedielem
64K Followers 2K Following Research Scientist at Google DeepMind (WaveNet, Imagen, Veo). I tweet about deep learning (research + software), music, generative models (personal account).
Jia-Bin Huang @jbhuang0604
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Yi Tay @YiTayML
47K Followers 82 Following research scientist @googledeepmind ✨♊, model co-lead/captain of gemini deepthink imo gold medal 🥇, opinions are my own.
Lucas Beyer (bl16) @giffmana
110K Followers 524 Following Researcher (now: Meta. ex: OpenAI, DeepMind, Brain, RWTH Aachen), Gamer, Hacker, Belgian. Anon feedback: https://t.co/xe2XUqkKit ✗DMs → email
Matthias Niessner @MattNiessner
41K Followers 241 Following Professor for Visual Computing & Artificial Intelligence @TU_Muenchen Co-Founder @synthesiaIO Co-Founder @SpAItial_AI
Horace He @cHHillee
42K Followers 537 Following @thinkymachines Formerly @PyTorch "My learning style is Horace twitter threads" - @typedfemale
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428K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo ,submit papers here: https://t.co/UzmYN5YmrQ
(((ل()(ل() 'yoav)))... @yoavgo
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