Ruqi Zhang @ruqi_zhang
Assistant Professor @PurdueCS | PhD @Cornell | Probabilistic machine learning, Bayesian deep learning, Sampling, MCMC ruqizhang.github.io Joined October 2021-
Tweets40
-
Followers542
-
Following270
-
Likes148
Great news for all Bayesians: AABI is back this year, co-located with ICML in Vienna! Our CfP is out and the paper submission deadline is March 29th: approximateinference.org/call/index.html This year, we'll have a non-archival track for short papers and a PMLR proceedings track for long ones!
I will be giving a talk at 11:05am today (Sat) on "Low-precision Sampling for Probabilistic Deep Learning" at the ML with New Compute Paradigms (MLNCP) workshop (room 235-236) mlwithnewcompute.com. Looking forward to seeing you there!
I'm at #NeurIPS2023 this Friday and Saturday. Excited to be giving a talk at the ML with New Compute Paradigms workshop on Saturday. Looking forward to meeting old and new friends! Feel free to DM me for a coffee chat
Discrete sampling can be much faster now! Our benchmark offers a convenient interface to use and evaluate advanced sampling techniques. It includes diverse applications like energy-based models, language models, graphical models, and combinatorial optimization. Explore more👇
Discrete sampling can be much faster now! Our benchmark offers a convenient interface to use and evaluate advanced sampling techniques. It includes diverse applications like energy-based models, language models, graphical models, and combinatorial optimization. Explore more👇
Will attend @neur_reps on 12/16 in New Orlean. Our work is about finding flat minima for MCMC samplers. Glad to meet with all new friends!
If you are interested in helping us organize AABI 2024 (co-located with ICML in Vienna), which is an annual highlight in every Bayesian's calendar, please fill out this short survey: forms.gle/RChr5F4hPuPBWE… Looking forward to seeing many new faces in our organizing team!
Registration for #AABI2023 in-person in 🌴Hawaii🌴 (co-located with ICML) is now open at eventbrite.com/e/5th-symposiu… !! Spots are free but limited.
Many new breakthroughs and cool applications have emerged in discrete space. Join us to see the new frontier!
Many new breakthroughs and cool applications have emerged in discrete space. Join us to see the new frontier!
Probabilistic method lovers, AABI 2023 welcomes your presentations 🤗 of your latest ML journal & conf accepted paper via the fast-track: approximateinference.org/call/index.html Due 26 May AABI 2023 is collocated with #ICML2023 Come and talk with experts in your area 🤝
Our #ICML2023 workshop proposal "Structured Probabilistic Inference & Generative Modeling" has been accepted 🎉. We can't wait to engage in insightful discussions with experts in probabilistic ML and other areas at the beautiful Hawaii 🌴🏖️. Check🔍: spigmworkshop.github.io
We look forward to seeing you at AABI in Hawaii!
We look forward to seeing you at AABI in Hawaii!
Nice visualization of cyclical SGLD!
Nice visualization of cyclical SGLD!
#ICML2022 A Langevin-like Sampler for Discrete Distributions arxiv.org/pdf/2206.09914… Inspired by the Langevin algorithms in continuous spaces, we develop a simple but highly effective sampler for discrete distributions. w/ Xingchao Liu, @lqiang67
#ICML2022 Low-Precision Stochastic Gradient Langevin Dynamics. arxiv.org/pdf/2206.09909… We study its theoretical convergence, quantization functions, generalization, and calibration, showing that SGLD is particularly suited for low-precision arithmetic w/@andrewgwils, @chrismdesa
I'm at #ICML2022! Look forward to meeting old and new friends. Ping me if you want to meet up :)
Our AABI 2022 panel discussion is coming up at 9:30 am Pacific Time, there's still time to register! Panelists include Chris Maddison, Karen Ullrich, Jan-Willem van de Meent, Michael Betancourt, and Justin Domke. approximateinference.org/schedule/ @aabi
Our AABI 2022 panel discussion is coming up at 9:30 am Pacific Time, there's still time to register! Panelists include Chris Maddison, Karen Ullrich, Jan-Willem van de Meent, Michael Betancourt, and Justin Domke. approximateinference.org/schedule/ @aabi
Sam Power @sp_monte_carlo
17K Followers 7K Following Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him)
yingzhen @liyzhen2
3K Followers 151 Following teaching machines 🤖 to learn 🔍 and fantasise 🪄 now @ImperialCollege @ICComputing ex @MSFTResearch @CambridgeMLG currently helping @aistats_conf
Kevin Patrick Murphy @sirbayes
42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.
Jiaxin Shi @thjashin
2K Followers 316 Following Research Scientist @GoogleDeepMind | prev @Stanford @MSRNE @VectorInst @RIKEN_AIP_EN @Tsinghua_Uni. Building probabilistic & algorithmic models for learning.
Theofanis Karaletsos @Tkaraletsos
4K Followers 2K Following Head of AI @cziscience | probabilistic and deep ML
Alex Dimakis @AlexGDimakis
13K Followers 2K Following UT Austin Professor. Researcher in Machine Learning and Information Theory. National AI Institute on the Foundations of Machine Learning (IFML) Co-director.
Dinghuai Zhang 张鼎.. @zdhnarsil
2K Followers 1K Following PhD student at @Mila_Quebec. Ex intern at FAIR Labs @MetaAI. Previous math undergraduate at @PKU1898.
Stephan Mandt @StephanMandt
2K Followers 556 Following ML Professor @UCIrvine, previously @blei_lab, @Princeton. #GenerativeAI, #Compression, #AI4Science. Program Chair @aistats_conf 2024; General Chair AISTATS 2025
Mathieu Alain @miniapeur
19K Followers 2K Following Researching @ai_ucl. Co-organises @uclcsml and @logconference. FR, EN, trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦
DK Xu @DongkuanXu
2K Followers 2K Following Assistant Professor @NCState. Co-Founder @GentopiaAI. Artificial General Intelligence. Ex- @MSFTResearch, @ https://t.co/JuUn6gRp78, @NECLabsAmerica. Big Fan of @NFL.
Kevin K. Yang 楊凱�.. @KevinKaichuang
16K Followers 5K Following Senior Researcher in BioML @MSFTResearch (@MSRNE). He/him/他. 🇹🇼
Dimitris Papailiopoul.. @DimitrisPapail
11K Followers 976 Following prof @ wisconsin; thinking about transformers; learning in context; babas of Inez Lily
Pierre Alquier @PierreAlquier
8K Followers 5K Following Professor of Statistics @ESSEC_AP 🇸🇬 // Previously @RIKEN_AIP 🇯🇵 @ENSAEparis 🇫🇷 @ucddublin 🇮🇪 🇪🇺 // random posts about research & birds photos // 🌈
Purdue Computer Scien.. @PurdueCS
5K Followers 1K Following The Persistent Pursuit of Innovation and Creativity through Computing. #TheNextGiantLeap
Vincent Fortuin @vincefort
2K Followers 601 Following PI @helmholtz_ai, Faculty @TU_Muenchen, Fellow @zuseschoolrelAI, Branco Weiss Fellow. Prev: @CambridgeMLG, @stjohnscam, @ETH_en, @GoogleAI, @MSFTResearch.
Chenlin Meng @chenlin_meng
8K Followers 833 Following Co-founder & CTO @pika_labs | ex @StanfordAILab @Stanford
Andrej Risteski @risteski_a
3K Followers 2K Following Machine learning researcher. Assistant Professor, ML department at CMU (@mldcmu).
Javier Antorán @JaviAC7
699 Followers 438 Following Interested in Bayesian Inference and Molecular Dynamics @CambridgeMLG.
Cynthia Rudgers @rudg_cynth
49 Followers 5K Following
Zhaoyang Wang @wangwan83764204
310 Followers 4K Following CS PhD student at Uni of Birmingham in the United Kingdom. Research interests: Automated Machine Learning, Online Learning, and Reinforcement Learning 🏳️🌈
IFELIF @jreileyclark
116 Followers 1K Following Principal Data Scientist | Petroleum Engineer | O&G Emissions | Energy Forecasting | Bayesian/Jaynesian - opinions my own
dFraKWSfdZjEBkRSNZEz @d_rsnz
0 Followers 279 Following
Xinyang Liu (Applying.. @XinyangATK
6 Followers 130 Following A master student at Xidian University. Looking for RA/PhD in 25fall.
Sooyeon Jeong @SooyeonJeong6
94 Followers 297 Following Assistant Professor at @PurdueCS, Director of @HAIPurdue Formerly @cbitshealth @medialab @MIT Design and deploy interactive agents for human flourishing!
Flavia Maria Galeazzi @GaleazziFlavia
45 Followers 320 Following Brown University, Biological Physics and Computer Science
Garrett Mooney @GarrettRMooney
420 Followers 3K Following LATELY: "Open Source CS Masters" or something ¯\_(ツ)_/¯ PREVIOUS: Baby Bayesian...wanting to learn more, ML generalist Basketball and metal on occasion.
EDWIN RAFAEL VILLANUE.. @Edwi_Villanueva
26 Followers 424 Following Associate professor at Pontificia Universidad Católica del Perú (PUCP). Principal researcher at the Artificial Intelligence Group (IA-PUCP)
Mengdi Wang @MengdiWang10
1K Followers 265 Following Princeton professor in AIML, optimization and data science. Program Chair @ICLR2023. Formerly @MIT @GoogleDeepmind @Tsinghua
Juan Hmmm @JuanAH03488233
80 Followers 3K Following
Hao Zhang @HaoZhang623
9 Followers 77 Following PhD Student @ UIUC | Working on Out-of-Distribution Segmentation/Open Vocabulary Segmentation and 3D Reconstruction
laura @laura012747755
421 Followers 5K Following
Yunsheng Ma @yunshengmax
97 Followers 235 Following PhD Student @LifeAtPurdue | MSCS 22 @NYU_Courant | Working on #LLM, #VLM, #AutonomousDriving
Minas Karamanis @MinasKaramanis
481 Followers 2K Following Physicist - Postdoc @UCBerkeley - Astrostatistics, Computational Statistics, Machine Learning, Bayesian Inference - Views are my own
Unbox Research @unboxresearch
744 Followers 648 Following We write articles about AI! https://t.co/YfdaFwMP2d We’re a machine learning research & development company. We find answers in data. Founded by @tylerneylon.
Mingxuan Yi @YiMXxxxx
69 Followers 179 Following Currently visiting @RIKEN_AIP. PhD student working on machine learning at @BristolUni.
Derek Deming @ddeming_
80 Followers 485 Following God 🙏🏼 | ML Interpretability | ML SWE @MSFTResearch | Former Researcher PhD (ABD / dropped out) + MSc
Bill Yuchen Lin 🤖 @billyuchenlin
6K Followers 2K Following Research @allen_ai. I evaluate (multi-modal) LLMs, build agents, and study the science of LLMs. Previously: @GoogleAI & @MetaAI FAIR @nlp_usc
Yanzc @Zyc52849491
70 Followers 494 Following I’m a visiting student at Polytechnic Montreal, my research interest includes transportation safety modeling, computer vision, statistics modeling.
Guorui (Gary) Chen @GaryChen666
175 Followers 422 Following PhD candidate @UCLA | @American_Heart AHA Predoctoral Fellow '24 | @materials_MRS GSA Gold; Arthur Nowick '23 | @amazon Amazon Fellow '23
Hathaway @Estella27335811
5 Followers 347 Following
SuW @su_w97
7 Followers 31 Following
Jubayer Ibn Hamid @jubayer_hamid
43 Followers 257 Following Researcher @StanfordAILab. Physics/Maths (BS), CS (MS) @stanford.
塞纳河畔 @KZl7vPMCNnlVvTH
56 Followers 443 Following
Eponon anvi alex @anvi_al
14 Followers 200 Following PhD student in NLP @IPN_MX | Researcher. I love Science and the World with its possibilities. I am interested in improving Language Understanding in Machines.
Dake BU @dakebu_cityu
2 Followers 36 Following Ph.D candidate in CS @CityUHongKong. B.S in Mathematics @XJTU_China
Jordan @JordanRaykov
124 Followers 305 Following Statistical machine learning, Bayesian nonparametrics, Signal Processing, Digital health monitoring University of Nottingham
Fredrik K. Gustafsson @fregu856
699 Followers 3K Following Postdoctoral researcher @karolinskainst. Machine learning and computer vision for computational pathology.
Longhui Yu @scut_longhui
231 Followers 841 Following MPhil at Peking University @PKU1898, I am looking for a Ph.D. opportunity starting in the 2024 Spring/Fall!
Xingchao Liu @XingchaoL
257 Followers 162 Following PhD Student at UT Austin. Researcher on machine learning.
Wei Zheng @WZ65039430
123 Followers 2K Following Prof. @JacksonStateU. Probabilistic ML & LLM, looking for postdoc and PhD candidate for newly funded projects in NLP
Rafael Lameiro @rflameiro
421 Followers 840 Following Using Python and Machine Learning in Cheminformatics for Medicinal/Biological Chemistry. In case this goes under, rflameiro on other social media
Xingjian (Danny) Dong @DannyDongXJ
12 Followers 269 Following
Ahacad @ahacad
200 Followers 4K Following 混乱中立/chaotic neutral, not a typical nerd. Mode A: unconscious, Mode B: analytical.
Ihsen Alouani @IhsenAlouani
258 Followers 2K Following Associate Prof., #Security, #Machine_Learning Drinking coffee and thinking about absurdity Queen's University Belfast, Alle Menschen werden Brüder
Arctic Tim @tim_arctic79462
8 Followers 64 Following
Yi Ma @YiMaTweets
71K Followers 123 Following Chair Professor in AI, Director of IDS, Head of CS, HKU; Professor of EECS, Berkeley; Author of Book: High-Dim Data Analysis, https://t.co/gwaqMJp8av.
AK @_akhaliq
310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80Gx
Yann LeCun @ylecun
711K Followers 718 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.
Sam Power @sp_monte_carlo
17K Followers 7K Following Lecturer in Maths & Stats at Bristol. Interested in probabilistic + numerical computation, statistical modelling + inference. (he / him)
yingzhen @liyzhen2
3K Followers 151 Following teaching machines 🤖 to learn 🔍 and fantasise 🪄 now @ImperialCollege @ICComputing ex @MSFTResearch @CambridgeMLG currently helping @aistats_conf
Andrej Karpathy @karpathy
979K Followers 905 Following 🧑🍳. Previously Director of AI @ Tesla, founding team @ OpenAI, CS231n/PhD @ Stanford. I like to train large deep neural nets 🧠🤖💥
Kevin Patrick Murphy @sirbayes
42K Followers 334 Following Research Scientist at Google Brain / Deepmind. Interested in Bayesian Machine Learning.
Jim Fan @DrJimFan
229K Followers 3K Following @NVIDIA Sr. Research Manager & Lead of Embodied AI (GEAR Lab). Creating foundation models for Humanoid Robots & Gaming. @Stanford Ph.D. @OpenAI's first intern.
Kyunghyun Cho @kchonyc
61K Followers 2K Following a combination of a mediocre scientist, a mediocre manager, a mediocre advisor & a mediocre PC at @nyuniversity (@CILVRatNYU) & @genentech (@PrescientDesign).
Jiaxin Shi @thjashin
2K Followers 316 Following Research Scientist @GoogleDeepMind | prev @Stanford @MSRNE @VectorInst @RIKEN_AIP_EN @Tsinghua_Uni. Building probabilistic & algorithmic models for learning.
Gautam Kamath @thegautamkamath
44K Followers 507 Following Assistant Prof of CS @UWaterloo, Faculty @VectorInst, Canada @CIFAR_News AI Chair. Co-EiC @TmlrOrg. I lead @TheSalonML. Privacy, robustness, machine learning.
Prof. Anima Anandkuma.. @AnimaAnandkumar
25K Followers 2K Following Bren Professor @caltech, Fmr Sr Director of #AI research @nvidia, Fmr Principal Scientist @awscloud, AI+Science, PDE, Neural operators. Views my own.
Google DeepMind @GoogleDeepMind
944K Followers 275 Following We’re a team of scientists, engineers, ethicists and more, committed to solving intelligence, to advance science and benefit humanity.
Dan Roy @roydanroy
45K Followers 2K Following ML / AI researcher, emphasis on theory. Research Director and Canada CIFAR AI Chair, @VectorInst Professor, @UofT (Statistics/CS)
Theofanis Karaletsos @Tkaraletsos
4K Followers 2K Following Head of AI @cziscience | probabilistic and deep ML
Alex Dimakis @AlexGDimakis
13K Followers 2K Following UT Austin Professor. Researcher in Machine Learning and Information Theory. National AI Institute on the Foundations of Machine Learning (IFML) Co-director.
Blackjax @blackjax_mcmc
1K Followers 23 Following Blackjax is a sampling library designed for ease of use, speed and modularity. Written in Python with JAX.
Dinghuai Zhang 张鼎.. @zdhnarsil
2K Followers 1K Following PhD student at @Mila_Quebec. Ex intern at FAIR Labs @MetaAI. Previous math undergraduate at @PKU1898.
Alexander Immer @a1mmer
614 Followers 480 Following PhD student in machine learning @ETH, @MPI_IS, and student researcher @GoogleAI | Previously MSc @EPFL_en and intern @RIKEN_AIP_EN.
Zhiqing Sun @EdwardSun0909
2K Followers 1K Following CS PhD @LTIatCMU working on scalable alignment. BS @PKU1898
Sooyeon Jeong @SooyeonJeong6
94 Followers 297 Following Assistant Professor at @PurdueCS, Director of @HAIPurdue Formerly @cbitshealth @medialab @MIT Design and deploy interactive agents for human flourishing!
Robin R Murphy @robinrmurphy
911 Followers 588 Following Founder of Field of Disaster Robotics, Co-Founder of CRASAR, Leader of NSF AI Institute for Societal Decision Making, Professor, Author, Robotics in Sci-Fi
Stanley H. Chan @stanley_h_chan
7K Followers 137 Following Professor | computational imaging | machine learning | Purdue ECE
Mengdi Wang @MengdiWang10
1K Followers 265 Following Princeton professor in AIML, optimization and data science. Program Chair @ICLR2023. Formerly @MIT @GoogleDeepmind @Tsinghua
Bill Yuchen Lin 🤖 @billyuchenlin
6K Followers 2K Following Research @allen_ai. I evaluate (multi-modal) LLMs, build agents, and study the science of LLMs. Previously: @GoogleAI & @MetaAI FAIR @nlp_usc
Rémi 〰️ @remilouf
6K Followers 1K Following LLMs & structured generation @dottxtai. @OutlinesOSS 〰️ . Alumni @ENS_ULM & @UniOfOxford. I wander.
Yongxin Chen @YongxinChen1
329 Followers 229 Following Associate Professor at Georgia Tech. Areas: Control, Optimal Transport, Generative AI, Robotics, MCMC sampling
Jinghui Chen @JinghuiChen001
569 Followers 633 Following Assistant professor @ISTatPENNSTATE; CS PhD @CS_UCLA; interested in machine learning, optimization and trustworthy ml
Anna Korba @Korba_Anna
997 Followers 681 Following Assistant prof in Machine Learning @Ensaeparis/@CrestUmr
Mingtian @MingtianZhang
248 Followers 456 Following Research Fellow & PhD in Machine Learning @ai_ucl.
David Barber @davidobarber
3K Followers 741 Following Director UCL Centre for AI and UiPath Distinguished Scientist. Co-founder https://t.co/Wx3VpUByR2. Pro: cycling, walking, EU. @[email protected]. Views my own.
Sanghamitra Dutta @Sangha26Dutta
663 Followers 585 Following Assistant Prof. at UMD College Park @eceumd| Past @JPMorgan @CMU_ECE| Trustworthy ML, Fairness, Explainability, Information Theory, Optimization, Stat ML
Huaxiu Yao @HuaxiuYaoML
3K Followers 527 Following Assistant Professor of Computer Science @UNC @unccs @uncsdss | Postdoc @StanfordAILab | Ph.D. @PennState | #foundationmodels, #AISafety, #AIforScience | he/him
Wenhu Chen @WenhuChen
11K Followers 520 Following AI researcher @UWaterloo @GoogleAI @VectorInst. Interested in natural language processing, diffusion models. I direct TIGER-Lab at UWaterloo.
Guy Van den Broeck @guyvdb
4K Followers 2K Following Associate Professor and Samueli Fellow at UCLA @UCLAComSci; Scientist at @RelationalAI; working on Artificial Intelligence
Yejin Choi @YejinChoinka
19K Followers 330 Following professor at UW, director at AI2, adventurer at heart
OpenAI @OpenAI
3.4M Followers 0 Following OpenAI’s mission is to ensure that artificial general intelligence benefits all of humanity. We’re hiring: https://t.co/dJGr6LgzPA
Paul Liang @pliang279
5K Followers 910 Following PhD student @mldcmu @SCSatCMU. Foundations of multimodal learning & applications in social AI, NLP, and healthcare with @lpmorency and @rsalakhu.
Tongzheng Ren @rtz19970824
150 Followers 241 Following QR @citsecurities. CS PhD @UTCompSci. Previously QR Intern @citsecurities, Student Researcher @GoogleDeepMind. Interested in Applied Math & Prob.
Bolian Li @lblaoke
18 Followers 30 Following PhD Student @PurdueCS | Bayesian Deep Learning | Imbalanced Learning
Tianshi Li @tianshi_li
1K Followers 561 Following incoming assistant professor @Northeastern @KhouryCollege, prev @UCBerkeley @cmuhcii. I study privacy issues in tech by supporting humans in various roles
Xingchao Liu @XingchaoL
257 Followers 162 Following PhD Student at UT Austin. Researcher on machine learning.
Sean Welleck @wellecks
3K Followers 223 Following Assistant Professor at CMU. Marathoner, @thesisreview.
Daniel Lee @djsyclik
2K Followers 2K Following Ramblings of a Bayesian statistician, dj, basketball theorist. @mcmc_stan developer, @ZelusAnalytics data scientist
Ilya Sutskever @ilyasut
370K Followers 2 Following towards a plurality of humanity loving AGIs @openai
Susan Zhang @suchenzang
20K Followers 504 Following @ Google Deepmind. Past: @MetaAI, @OpenAI, @unitygames, @losalamosnatlab, @Princeton etc. Always hungry for compute.
Jian Tang @tangjianpku
4K Followers 1K Following Associate Professor at Mila, AI for drug discovery. Founder of @BioGeometryAI, Generative AI and Geometric DL for protein design
Zhihao Jia @JiaZhihao
2K Followers 497 Following Assistant professor of Computer Science at Carnegie Mellon University. Research on systems and machine learning.
Ben Zhao @ravenben
8K Followers 473 Following Neubauer Professor @UChicagoCS, security & privacy in ML, data, HCI. MIT TR-35 Innovator & Quora TopWriter. loves food, family, my students. ACM Fellow. He/him.
Mathieu Alain @miniapeur
19K Followers 2K Following Researching @ai_ucl. Co-organises @uclcsml and @logconference. FR, EN, trying ES. 🇹🇼🇨🇦🇬🇳🇺🇸🇩🇴🇫🇷🇪🇸🇬🇧🇿🇦
Yue Zhao @yzhao062
3K Followers 508 Following Assistant Professor @CSatUSC @USCViterbi. Ph.D. @CarnegieMellon. I build open ML systems and tools for all: Anomaly Detection, ML Systems, AutoML, data mining
Steve Mussmann @MussmannSteve
410 Followers 116 Following Incoming assistant professor (Fall 2024) at @GeorgiaTech @gatech_scs. Currently, an ML researcher at @CoactiveAI.
Tian Xie @xie_tian
2K Followers 344 Following Researcher & Project lead @ Microsoft Research AI4Science; ML for materials; Previously @ MIT CSAIL & DMSE, DeepMind, Google X.
Jack Wang @_zichaowang
53 Followers 169 Following Research Scientist @AdobeResearch. AI for human learning, productivity, and creativity. Prev. Ph.D. student @RiceECE. ex-@GoogleAI, @NVIDIA, @MSFTResearch
Valentin De Bortoli @ValentinDeBort1
1K Followers 194 Following Research scientist at DeepMind London.
Marzyeh @MarzyehGhassemi
7K Followers 213 Following Healthy Machine Learning @ MIT EECS/IMES & Vector Institute
Jiaming Song @baaadas
5K Followers 992 Following Chief Scientist @LumaLabsAI. Working on visual generative AI. Were @NVIDIA @Stanford @OpenAI @MetaAI
Lianhui Qin @Lianhuiq
4K Followers 397 Following Incoming Assistant Professor at UCSD CSE. Currently postdoc at AI2 Mosaic. NLP, ML, AI. I’m recruiting PhD students.
Manling Li @ManlingLi_
3K Followers 419 Following Postdoc @Stanford, Incoming Assistant Professor @Northwestern, PhD @UIUC. Working on Knowledge Foundation Models, especially for Multimodal data (Language + X).
Tri Dao @tri_dao
19K Followers 365 Following Incoming Asst. Prof @PrincetonCS, Chief Scientist @togethercompute. Machine learning & systems.
After two good years at Microsoft Research AI4Science, I am very excited to announce that as of this month I have, together with Chad Edwards, co-founded a new startup in the field of molecular and materials discovery.
I really enjoy this line of research on MCMC. Great work! Proud of you!
We would like to highlight several papers from our group last year. These works were accomplished with the help of our brilliant colleagues/professors @BoExistentFree @Jamie_Liang76 @YongxinChen1, Prof. Andre Wibisono, @MoleiTaoMath @yzwangyuqing
I had the privilege of delivering the Samuel D. Conte Distinguished Lecture at @PurdueCS Department, where I addressed a packed audience (though a few professors may have encouraged their classes to attend). During the lecture, I discussed our research at Surfside and Hurricane…
A distinguishing ambition of ML research: "We want AI agents that can discover like we can, not which contain what we have discovered. Building in our discoveries only makes it harder to see how the discovering process can be done." From Rich Sutton's "Bitter Lesson".
We present PeRFlow (Piecewise Rectified Flow): Fast sampling. Efficient training. Transferrable to various SD-based models/methods. Fully Open-Sourced. ➡️Website: piecewise-rectified-flow.github.io ➡️Github: github.com/magic-research… Screenshot for fast text-to-multiview with PeRFlow:
😀For those curious about the math of rectified flow, the paper is here: arxiv.org/abs/2209.03003
Stabillity AI presents Stable Diffusion 3 Scaling Rectified Flow Transformers for High-Resolution Image Synthesis Diffusion models create data from noise by inverting the forward paths of data towards noise and have emerged as a powerful generative modeling technique for…
We introduce non-vacuous generalization bounds for large language models. LLMs are hardly parroting their training data! They achieve significant compression.
Are LLMs able to meaningfully generalize beyond their training data? We address this question by computing the first non-vacuous generalization bounds for LLM pretraining. w/ @m_finzi, @KuangYilun, @timrudner @micahgoldblum, @andrewgwils arxiv.org/abs/2312.17173 1/N
Congratulations, Dr. Alex Boyd, on defending your PhD! Alex is my first graduating UCI PhD student and did pioneering work on computing complex probabilistic queries in trained autoregressive models. Cheers! 🎉🎓
We are excited to announce this year’s keynote speakers for #MLSys2024: Jeff Dean @JeffDean, Zico Kolter @zicokolter, and Yejin Choi @YejinChoinka! MLSys this year will be held in Santa Clara on May 13–16. More details at mlsys.org.
We finally have a paper for @blackjax_mcmc 🥹 Still the codebase I'm most proud of. arxiv.org/abs/2402.10797
🟥Everyone's favourite Bayesian Symposium is back in 2024🚀. This year #AABI2024 will be co-located with ICML in Vienna in July. This year we have: 1⃣ extended abstract and 2⃣ full-paper archival tracks. ☑️Submission deadline: 29 March CFP: approximateinference.org/call/index.html
Happy Chinese New Year! Wish everyone good fortune in 2024, year of loong!
@ruqi_zhang @davidobarber Hi Ruiqi, thanks for this link! This paper is actually very related, we will include discussions in the revised version! Also very exciting about the potential of this type of methods!
UK gov is still investing in probabilistic AI 🥹🤩❤️
We’re investing £100m in AI research, including nine new @EPSRC AI hubs and ten @ahrcpress scoping projects, to advance future tools and innovations: orlo.uk/Pl2A1
Often reviewers see fancy math, sophisticated proof techniques, etc., as an end in itself. In machine learning research, these are sometimes a necessary evil, but hardly desirable. We want to achieve a good outcome as simply as possible! Our goal should be *reducing* complexity.
I have noticed that the “review process” is very similar to mcmc: the further away from the current state you propose the less likely it is to be accepted”.
This is a good visualization of the (obscene) size of the data and compute for LLMs. This feels like a very inefficient information extraction machine. Scale is not enough…
People are really bad at understanding just how big LLM's actually are. I think this is partly why they belittle them as 'just' next-word predictors
more than excited to congratulate @harrisonzhu5080 for passing his PhD viva 🎉🎉🎉 soon to be a doctor in Math! thanks a million to the examiners @samikaski and Kolyan Ray 🙏🙏🙏
In the best papers, the models are often just vehicles for larger ideas. A paper may be teaching us about distribution shifts, heteroscedasticity, or some other larger concept, simply expressed through the models (LLMs, ResNets, SVMs, ...) that happen to be popular at the time.
Happy to be accepted! We focuses on the geometric aspect of Bayesian neural networks. We find that sampling from the flat modes of posterior distribution will induce much better generalization. #ICLR2024 Entropy-MCMC: Sampling from Flat Basins with Ease arxiv.org/abs/2310.05401
Trends for United States
You might like
