CILVR @CILVRatNYU
CILVR at NYU https://t.co/PbvGtsBGvR CILVR Blog https://t.co/fyHd5zS3w2 cilvr.nyu.edu Joined July 2020-
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Talks at TTIC presents Naomi Saphra (@nsaphra) of NYU (@CILVRatNYU) with a talk titled "Interpreting Training." Please join us on Monday, February 27 at 11:30 am CT in Room 530 or via Panopto: buff.ly/3xINPhu
Fantastic lineup! Submission deadline: September 18 #ML4PS2021
Fantastic lineup! Submission deadline: September 18 #ML4PS2021
our own @KyleCranmer is a keynote speaker at @aistats_conf !
our own @KyleCranmer is a keynote speaker at @aistats_conf !
Courant Institute and Radiology at NYU are hiring postdocs in the area of learning unified representations of patients using healthcare data from multiple modalities (imaging, EHRs, sensors). An exciting opportunity to make real-world impact. Details at: apply.interfolio.com/85305
One of the coolest ideas I spent time on this last year considers a weird way to specify confounders. In most traditional causal estimation, the confounders and interventions of interest are different columns in a dataset of pre-outcome variables.
for the 3rd year in a row, we are carbon-neutral. thanks @sleepinyourhat for leading the effort!
I had a wonderful time chatting with @Krrish94 and @duckietown_coo at the @MontrealRobots Robot Learning seminar yesterday! Talk is on recorded here: youtu.be/rPrqCPJc6wU
Translation equivariance has imbued CNNs with powerful generalization abilities. Our #NeurIPS2020 paper shows how to *learn* symmetries -- rotations, translations, scalings, shears -- from training data alone! arxiv.org/abs/2010.11882 w/ @g_benton_, @Pavel_Izmailov, @m_finzi. 1/9
A new NLP toolkit from @CILVRatNYU is now online with an accompanying blog post: wp.nyu.edu/cilvr/2020/10/…. check it out!
A new NLP toolkit from @CILVRatNYU is now online with an accompanying blog post: wp.nyu.edu/cilvr/2020/10/…. check it out!
new blog post on evaluating the quality of representation!
new blog post on evaluating the quality of representation!
Stochastic Weight Averaging (SWA) is a simple procedure that improves generalization in deep learning over Stochastic Gradient Descent (SGD). PyTorch 1.6 now includes SWA natively. Learn more from @Pavel_Izmailov, @andrewgwils and Vincent: pytorch.org/blog/pytorch-1…
I'm so excited to be presenting on "Bayesian Deep Learning" and "How do we build models that learn and generalize?" at the @SMILESkoltech Summer School. 10 am ET tomorrow+Mon, livestreamed on YouTube! Functional kernel learning will make an appearance. youtube.com/watch?v=i5PEMt…
New work in visual imitation learning! We use commodity reacher-grabbers to both collect demonstrations in the wild, and as an end-effector for robotic manipulation. This means no domain shift b/n the demonstrations and the robot's observations! arxiv.org/abs/2008.04899 1/5
Very excited to share our newest paper combining machine learning & physics. We develop normalizing flows that impose the elaborate of symmetry groups you find in fundamental particle physics. It's a beautiful mix of math, ML, and physics arxiv.org/abs/2008.05456
I had a wonderful experience presenting the ICML tutorial on Bayesian deep learning and probabilistic model construction. Thank you all for your encouraging comments. The video is now online! youtube.com/watch?v=E1qhGw…
The #ICML2020 tutorial on Bayesian Deep Learning and Probabilistic Model Construction is tomorrow! July 13, 11 am - 2 pm and 9 pm - 12 am EDT icml.cc/virtual/2020/t… See you there!
Happy to announce the preliminary program of our virtual conference "Machine Learning in Science", July 21 to 23. Keynote lectures by @KyleCranmer (NYU) and Stefanie Jegelka (MIT) and lots of other great speakers! Check out the program: uni-tuebingen.de/en/165313#c112… #ml4science2020
I'll be recruiting a PhD student through the NYU Data Science program (to start in Fall 2021). Would love to chat about it "at" #acl2020nlp. Email me if interested in a computational psycholinguistics ∩ deep learning PhD (even if you're not attending the conference)!
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.
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).
Sam Bowman @sleepinyourhat
35K Followers 3K Following AI alignment + LLMs at NYU & Anthropic. Views not employers'. No relation to @s8mb. I think you should join @givingwhatwecan.
Soumith Chintala @soumithchintala
186K Followers 877 Following Cofounded and lead @PyTorch at Meta. Also dabble in robotics at NYU. AI is delicious when it is accessible and open-source.
Jason Phang @zhansheng
3K Followers 1K Following Policy Research at @OpenAI. PhD @NYUDataScience, @AiEleuther, 🇸🇬. Prev: @Google, @Microsoft
Kyle Cranmer @KyleCranmer
16K Followers 3K Following Director Data Science Institute @UWMadison @datascience_uw. EiC @MLSTjournal. Physics, stats/ML/AI, open science. same handle @sigmoid.social and bsky
Delip Rao e/σ @deliprao
46K Followers 5K Following Busy inventing the shipwreck. @Penn. Past: @johnshopkins, @UCSC, @Amazon, @Twitter ||Art: #NLProc, Vision, Speech, #DeepLearning || Life: 道元, improv, running 🌈
Ethan Caballero is bu.. @ethanCaballero
8K Followers 2K Following ML PhD student @Mila_Quebec ; previously @GoogleDeepMind
Shaily @shaily99
5K Followers 2K Following PhD @LTIatCMU Prev: @GoogleAI @MSFTResearch. Working on ethics and evaluation in #NLProc. Usually ranting, often about research & DEI. 📚 @readsndrants
Eugene Vinitsky @EugeneVinitsky
13K Followers 2K Following Anti-cynic. Artificial narrow intelligence. Autonomous vehicles, multi-agent learning, and transportation. RS at Apple, Asst. Prof at @nyutandon. He/him.
Tal Linzen @tallinzen
16K Followers 893 Following Professor @nyuling and @NYUDataScience, research scientist @GoogleAI
Aishwarya Kamath @ashkamath20
7K Followers 587 Following Research Scientist @GoogleDeepMind. PhD at NYU
Shreyas Vaidya @shreyasvaidya23
161 Followers 1K Following Nothing beats the joy of solving interesting problems Third year UG majoring in CS @iitjodhpur
gfdsxcvgdxn @hdhshdgga
35 Followers 776 Following
Eliot Eshelman @hpc_twit
565 Followers 1K Following I enable researchers & educators with leading HPC/AI technologies @NVIDIA. From muons to bacteriophages to astrophysics. Opinions my own. he/him #Inclusion
kai @gorgonist
68 Followers 371 Following
Tahereh Toosi @taherehtoosi
570 Followers 418 Following Associate Research Scientist at Center for Theoretical Neuroscience @cu_neurotheory @ZuckermanBrain @Columbia K99-R00 scholar @NIH @NatEyeInstitute
Anya @not__jubilee
0 Followers 7 Following
Anupam K Mitra @anupam__mitra
871 Followers 5K Following Injustice anywhere is a threat to Justice everywhere. -Dr. Martin Luther King Jr
Ekin Başar Gökçe @ekinbasargokce
309 Followers 924 Following Molecular Biology and Genetics @METU_ODTU '22 Data Science MS @sabanciu
Haotian (Sean) Liu @SeanLiu0702
15 Followers 319 Following Undergraduate @WPI majoring @WPI_Robotics
aakar @aakarmutha
87 Followers 113 Following
Nikita Makarov @nikitamakaro
100 Followers 196 Following AI in cancer research. PhD student working on LLMs & digital twins for cancer clinical trials @Roche & @HelmholtzMunich - Menden Lab. Opinions are my own.
Shuyu Pan @Suzy_Pan622
1 Followers 34 Following
Huaizhi Ge @HuaizhiGe
18 Followers 17 Following
Garvit Luhadia @luhadiagarvit
1 Followers 37 Following
Nivii Kalavakonda @nkalavak
1K Followers 2K Following HRI/Perception in Healthcare; STS x Ph.D Candidate @uw. nkalavak at sigmoid dot social (she/her/they)
Arian Khorasani 🦅 @Arian_Khorasani
183 Followers 737 Following AI Researcher working with @irinarish at @cerc_aai @Mila_Quebec @UMontreal Interested in AGI ( Augmented General Intelligence )
Aravind Kannappan @AravindKannapp4
8 Followers 77 Following NYU’26 MS AS3R | Baylor’24 | Aspiring Data Scientist | UCSF @JoeBondyDenomy | Intern @KaralisLab | @NYU_ASH | #AppliedStatistics, #DataScienceForImpact
Nicholas Lourie @NickLourie
121 Followers 178 Following I build things. 🤖 Doing a PhD at @nyuniversity (@CILVRatNYU) on better empirical methods for deep learning and data science. Advised by @kchonyc and @hhexiy.
Chris Paxton @chris_j_paxton
8K Followers 1K Following Mostly posting about robots. Embodied AI @hellorobotinc, formerly @AIatMeta, @NVIDIAAI, @zoox. All views my own.
Sungmin Cha @_sungmin_cha
55 Followers 63 Following Faculty Fellow @nyuniversity | PhD @SeoulNatlUni
Bale Chen @BaleCcchen
9 Followers 37 Following
Ge Yang @EpisodeYang
3K Followers 2K Following I am planting acorns one at a time with policy gradient.
Natália Alves @BcalvesNatlia
80 Followers 153 Following Artificial Intelligence in Medical Imaging Ph.D. Candidate @DIAGNijmegen @Pancaim_H2020 Trainee Editorial Board @Radiology_AI
Intelligencia Hashmi @Intelligen81599
88 Followers 1K Following
Golden Threshold @g_threshold
142 Followers 892 Following
utsavoza @utsavoza96
2 Followers 427 Following
Yosef Skolnick, M.S. @yosefskolnick
195 Followers 2K Following Software Engineer | Aspiring AI Researcher | Inventor
Robin Gutzen @rgutzen
383 Followers 720 Following Attacking the brain's mysteries with statistics and open-source tools, also dabbling in data visualizations and fermenting food. https://t.co/EvdHO1sZJ1
K @spearmintfresh1
17 Followers 149 Following
apscomp ai @apscompai
2 Followers 159 Following
ru peng @_rupeng_
34 Followers 29 Following CS Phd, Zhejiang University Research intern, Qwen Group, Alibaba LLMs, ML, Multimodal, NLP direction
Xiang Fu @thisisxfu
43 Followers 2K Following Researcher @BUSPH | @BU_CDS | Founder of @ModularNLP | Deep Learning | Data Science |
Hongjun(Jan) Liu @Jan2504143754
9 Followers 51 Following Undergraduate Student from Zhejiang University; Student RA in NYU Shanghai; Incoming Phd student of NYU CDS & NYUsh
SPTechnology @SPT_Technology
148 Followers 2K Following
emily @Found_emM
262 Followers 3K Following
Rahul Raman @RahulRaman1631
1 Followers 22 Following
Ashish Rai @raish1sh
10 Followers 170 Following
Bilal Aamer @TheBilalAamer
150 Followers 708 Following Current: @anarchy_ai_inc @Tensorflow @Supabase Research: @IITHyderabad @JHUB @SkyComputing OSS: @LightningAI @union_ai @letsunifyai @01AI_Yi @SurrealDB
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.
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).
Sam Bowman @sleepinyourhat
35K Followers 3K Following AI alignment + LLMs at NYU & Anthropic. Views not employers'. No relation to @s8mb. I think you should join @givingwhatwecan.
Kyle Cranmer @KyleCranmer
16K Followers 3K Following Director Data Science Institute @UWMadison @datascience_uw. EiC @MLSTjournal. Physics, stats/ML/AI, open science. same handle @sigmoid.social and bsky
Thomas G. Dietterich @tdietterich
50K Followers 505 Following Distinguished Professor (Emeritus), Oregon State Univ.; Former President, Assoc. for the Adv. of Artificial Intelligence; Robust AI & Comput. Sustainability
Tal Linzen @tallinzen
16K Followers 893 Following Professor @nyuling and @NYUDataScience, research scientist @GoogleAI
New York University @nyuniversity
200K Followers 1K Following The official Twitter account of New York University—in and of the city; in and of the world. Managed by the Office of Public Affairs: https://t.co/ZSbBEceRf7
NYU Data Science @NYUDataScience
23K Followers 971 Following Official account of the NYU Center for Data Science, the home of the Undergraduate, Master’s, and Ph.D. programs in data science.
Lerrel Pinto @LerrelPinto
5K Followers 181 Following Assistant Professor of CS @nyuniversity. I like robots!
joan bruna @joanbruna
3K Followers 231 Following Associate Professor of Computer Science, Data Science & Mathematics (aff), Courant Institute and Center for Data Science, NYU. He/His/Him
Brenden Lake @LakeBrenden
7K Followers 196 Following Assistant Professor of Psychology and Data Science @ NYU. Co-Director of the NYU Minds, Brains, and Machines Initiative.
Krzysztof Geras @kjgeras
3K Followers 318 Following Deep learning researcher. Assistant professor at NYU. Interested in the methodology of machine learning and its applications to healthcare.
Talks at TTIC presents Naomi Saphra (@nsaphra) of NYU (@CILVRatNYU) with a talk titled "Interpreting Training." Please join us on Monday, February 27 at 11:30 am CT in Room 530 or via Panopto: buff.ly/3xINPhu
Fantastic lineup! Submission deadline: September 18 #ML4PS2021
Excited to share the amazing lineup of invited talks and panel discussion at our Machine Learning and the Physical Sciences workshop #ML4PS2021 #NeurIPS2021. Please come join us again @NeurIPSConf in December! ml4physicalsciences.github.io/2021/#schedule
Thrilled to share that I'll be joining as an assistant professor at NYU Courant CS + Center for Data Science, starting in Fall 2022! @nyuniversity @CILVRatNYU @NYUDataScience. Deeply grateful to my mentors and collaborators, esp. to @zemelgroup & @RaquelUrtasun!
AISTATS 2021 is coming soon! Don't miss the great talks, new research, and social events—register now for the virtual conference: virtual.aistats.org
A great thesis, a fantastic set of advisors. It has been influential in my thinking. Moving beyond “learning to pivot” adversarial approaches to motions of underlying causality. @CILVRatNYU
Out of Distribution Generalization in Machine Learning Martin Arjovsky's PhD thesis to review, contextualize, and clarify the current knowledge in out of distribution generalization. arxiv.org/abs/2103.02667
New work on using doc2query for summarization by @rodrigfnogueira et al. - works surprisingly well! arxiv.org/abs/2009.09290 Samples from CORD-19 corpus related to COVID-19 below.
I'm so excited to be presenting on "Bayesian Deep Learning" and "How do we build models that learn and generalize?" at the @SMILESkoltech Summer School. 10 am ET tomorrow+Mon, livestreamed on YouTube! Functional kernel learning will make an appearance. youtube.com/watch?v=i5PEMt…
New work in visual imitation learning! We use commodity reacher-grabbers to both collect demonstrations in the wild, and as an end-effector for robotic manipulation. This means no domain shift b/n the demonstrations and the robot's observations! arxiv.org/abs/2008.04899 1/5
Very excited to share our newest paper combining machine learning & physics. We develop normalizing flows that impose the elaborate of symmetry groups you find in fundamental particle physics. It's a beautiful mix of math, ML, and physics arxiv.org/abs/2008.05456
I had a wonderful experience presenting the ICML tutorial on Bayesian deep learning and probabilistic model construction. Thank you all for your encouraging comments. The video is now online! youtube.com/watch?v=E1qhGw…
The #ICML2020 tutorial on Bayesian Deep Learning and Probabilistic Model Construction is tomorrow! July 13, 11 am - 2 pm and 9 pm - 12 am EDT icml.cc/virtual/2020/t… See you there!
Robot perception can be more than just vision. In this new #RSS2020 paper we collect the largest Audio+Visual robotic dataset and show how sound can provide useful information that vision by itself cannot. Data + Paper: dhiraj100892.github.io/swoosh/ w/ @_dgandhi, Abhinav
Happy to announce the preliminary program of our virtual conference "Machine Learning in Science", July 21 to 23. Keynote lectures by @KyleCranmer (NYU) and Stefanie Jegelka (MIT) and lots of other great speakers! Check out the program: uni-tuebingen.de/en/165313#c112… #ml4science2020
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