Deeptej More
@CAMEL-AI | past AI@Northwestern | computer vision, representation learning, agents
https://x-tron404.github.io/
@nsubramani23.bsky.social
PhD student @CMU LTI - working on model #interpretability; prev predoc @ai2; intern @MSFT nishantsubramani.github.io
@calebziems.com
PhD student at Stanford NLP. Working on Social NLP and CSS. Previously at GaTech, Meta AI, Emory. ๐Palo Alto, CA ๐ calebziems.com
@stellali.bsky.social
PhD student @uwnlp.bsky.social @uwcse.bsky.social | visiting researcher @MetaAI | previously @jhuclsp.bsky.social https://stellalisy.com
@athiya.bsky.social
LTI PhD at CMU on evaluation and trustworthy ML/NLP, prev AI&CS Edinburgh University, Google, YouTube, Apple, Netflix. Views are personal ๐ฉ๐ปโ๐ป๐ฎ๐ฉ athiyadeviyani.github.io
@skylion.bsky.social
Maker of the OpenWebText. Mozilla Rise25 @PyTorch Core Reviewer. PhD Candidate at @Cornell (interning at @MosaicML) Previously @FacebookAI and @BrownUniversity
@abertsch.bsky.social
PhD student @ CMU LTI. working on text generation + long context https://www.cs.cmu.edu/~abertsch/
@williamjurayj.bsky.social
PhD student at Johns Hopkins CLSP (@jhuclsp.bsky.social). Researching natural and formal language processing. williamjurayj.com
@david-mueller.bsky.social
PhD Candidate @ JHU CLSP Machine Learning and NLP Research www.damueller.com I study transfer and multi-task learning. Incoming applied scientist at Amazon; prev at Netflix
@rewicks.bsky.social
PhD student @jhuclsp I work on multilingual data for training and evaluation. rewicks.github.io
@nverma1.bsky.social
PhD student @jhuclsp. Previously @yale, intern @AIatMeta | Efficient models, merging, MT
@alexmartin314.bsky.social
PhD student at JHU; NSF GRF; BS in CS UofR alexmartin1722.github.io
@kaiserwholearns.bsky.social
Ph.D. student at @jhuclsp, human LM that hallucinates. Formerly @MetaAI, @uwnlp, and @AWS they/them๐ณ๏ธโ๐ #NLProc #NLP Crossposting on X.
@stolenpyjak.bsky.social
๐ณ๏ธโ๐ (she/her) ยฏโ \โ _โ (โ ใโ )โ _โ /โ ยฏ PhD student @jhuclsp | Prev @IndiaMSR
@liuyulu.bsky.social
PhD student at Johns Hopkins University Alumni from McGill University & MILA Working on NLP Evaluation, Responsible AI, Human-AI interaction she/her ๐จ๐ฆ
@orionweller.bsky.social
PhD Student at Johns Hopkins University. Previously: Allen Institute for AI, Apple, Samaya AI. Research for #NLProc #IR
@carlosaguirre.bsky.social
Applied Scientist @ Amazon (Posts are my own opinion) Previously PhD@JHU
@kesnet50.bsky.social
PhD candidate in NLP, CV at JHU. Previously robotics at UC Berkeley. I work on video-language understanding, transparent reasoning, information extraction, & uncertainty. #NLProc
@borrrrrrrrrris.bsky.social
boris with 10 r's (handles with fewer r's were taken). ML for weather (prev health) @ Google. into guitars, sci fi, parenting, lolz. i make rock music for kids: https://open.spotify.com/artist/43Np3yVcbFcW4Uyn9C2MPe?si=gsh99-beRTSafXO_PxaSgg
@oms279.bsky.social
Assistant Professor of Sociology at Northwestern University Culture, political sociology, NLP, social networks, computational social science oscarstuhler.org
@richtarik.bsky.social
Professor of CS and Math @ KAUST. Interested in Optimization for Machine Learning. Federated learning guru. Likes ๐๐๏ธโโ๏ธ๐พ๐โท๏ธโธ๏ธ๐งโโ๏ธ๐คฟ๐น๐ธโ๏ธ๐๏ธ๐ทโ๏ธ๐๐ ๐ฅโ๏ธ
@rarefin.bsky.social
PhD Candidate Mila/University of Montreal | Intern at Amazon | Ex. ServiceNow, Recursion, UpStride | Researching to understand how Deep Learning works https://rarefin.github.io
@dccsillag.xyz
Applied mathematician working on machine learning, statistics and compilers. Currently doing research at FGV EMAp. dccsillag.xyz
@pierremarion.bsky.social
Postdoc @ EPFL, working on the theory of deep learning. Previously Polytechnique and Sorbonne Universitรฉ.
@gkdziugaite.bsky.social
Sr Research Scientist at Google DeepMind, Toronto. Member, Mila. Adjunct, McGill CS. PhD Machine Learning & MASt Applied Math (Cambridge), BSc Math (Warwick). gkdz.org
@emalach.bsky.social
Research Fellow @ Kempner Institute, Harvard University Theory of Deep Learning / Learning of Deep Theory
@ananyak.bsky.social
Research scientist at OpenAI working on reasoning and RL. Previously PhD student at Stanford University working with Percy Liang and Tengyu Ma.
@vaishnavh.bsky.social
Foundations of AI. I like simple and minimal examples and creative ideas. I also like thinking about the next token ๐งฎ๐งธ Google Research | PhD, CMU | https://arxiv.org/abs/2504.15266 | https://arxiv.org/abs/2403.06963 vaishnavh.github.io
@oymak.bsky.social
EECS Prof @UMich, Research on the Foundations of ML+RL+LLM https://sota.engin.umich.edu/
@erdog.bsky.social
Professor at University of Toronto. Research on machine learning, optimization, and statistics.
@lenaicchizat.bsky.social
Researcher in computational mathematics Theory of deep learning, optimal transport, optimization EPFL
@cevherlions.bsky.social
Associate Professor of Electrical Engineering, EPFL. Amazon Scholar (AGI Foundations). IEEE Fellow. ELLIS Fellow.
@yasamanbb.bsky.social
Research Scientist @ Google DeepMind. Physics of learning, ML / AI, condensed matter. Prev Ph.D. Physics @ UC Berkeley.
@surbhigoel.bsky.social
Assistant Prof at Penn CIS | Postdoc at Microsoft Research | PhD from UT Austin CS | Co-founder LeT-All
@mahdisoltan.bsky.social
work on theoretical foundations of AI, MLLM reliability/Eval, optimization, high dimensional probability/statistics, AI for science/healthcare; director of center on AIF4S @USC ๐ฒ๐๏ธ๐ฅพ๐โโ๏ธ
@alexdimakis.bsky.social
UC Berkeley Professor working on AI. Co-Director: National AI Institute on the Foundations of Machine Learning (IFML). http://BespokeLabs.ai cofounder
@andrejristeski.bsky.social
Machine learning researcher. Professor in ML department at CMU.
@sbubeck.bsky.social
I work on AI at OpenAI. Former VP AI and Distinguished Scientist at Microsoft.
@andrewgwils.bsky.social
Machine Learning Professor https://cims.nyu.edu/~andrewgw
@preetumnakkiran.bsky.social
ML Research @ Apple. Understanding deep learning (generalization, calibration, diffusion, etc). preetum.nakkiran.org
@profsanjeevarora.bsky.social
Director, Princeton Language and Intelligence. Professor of CS.
@andrea-montanari.bsky.social
Professor, Stanford University, Statistics and Mathematics. Opinions are my own.