Nishan Srishankar @n_srishankar
Multi-agent robotics @ WPI, D(R)L, Computer vision, XAI | Previously @ NASA-SETI Institute FDL 2020 | @ HRI 2020 | @ ARL 2019 🇱🇰🇺🇸 nsrishankar.github.io 127.0.0.1 Joined May 2016-
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Nishan Srishankar retweeted
We found a Remote Code Execution (RCE) vulnerability in @ollama - one of the most popular AI inference projects on GitHub. Here is everything you need to know about #Probllama (CVE-2024-37032) 🧵👇
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Nishan Srishankar retweeted
The new interpretability paper from Anthropic is totally based. Feels like analyzing an alien life form. If you only read one 90-min-read paper today, it has to be this one transformer-circuits.pub/2024/scaling-m…
Nishan Srishankar retweeted
A good review thread of very good work! Thanks for the shout-outs Shayne.
A good review thread of very good work! Thanks for the shout-outs Shayne.
Nishan Srishankar retweeted
Thrilled to announce the first annual Reinforcement Learning Conference @RL_Conference, which will be held at UMass Amherst August 9-12! RLC is the first strongly peer-reviewed RL venue with proceedings, and our call for papers is now available: rl-conference.cc.
Nishan Srishankar retweeted
New blog post: Multimodality and Large Multimodal Models (LMMs) Being able to work with data of different modalities -- e.g. text, images, videos, audio, etc. -- is essential for AI to operate in the real world. This post covers multimodal systems in general, including Large…
Nishan Srishankar retweeted
New AI Safety Talk! @NeelNanda5 on the many open problems in Mechanistic Interpretability: How can we look inside neural networks and figure out how they really work? There's lots of exciting research to be done. youtu.be/FnNTbqSG8w4
Nishan Srishankar retweeted
Q: How can many robots plan to *safely and smoothly* move around each other? A: They collaborate and negotiate paths! Find out at my talk at #AAAI23 on Tuesday 14th Feb! Link to paper/poster/video: aalpatya.github.io/gbpplanner @AjdDavison @rmurai0610
Nishan Srishankar retweeted
Few-shot LLM performance is very poor on tabular math problems -Use policy gradient to learn to select in-context examples from interacting w/ GPT-3 API -Improves performance & reduces prediction variance significantly Paper arxiv.org/abs/2209.14610 Code github.com/lupantech/Prom…
Nishan Srishankar retweeted
been concerned by some safety researchers' disregard for multi-agent outcomes, so here are some thoughts on why multi-agent safety is important and what failure modes we need to look for: Full post: lesswrong.com/posts/pkfKRG9d… 1/7
Nishan Srishankar retweeted
Delighted to finally unveil on @NASA IMPACT blog, what my 27+ #SpaceML citizen scientists have been driving towards. 6 conference acceptance already - from an invisibility cloak for missing satellite data, to searching large unlabeled collections. @FDL_AI impactunofficial.medium.com/ai-ready-makin…
Nishan Srishankar retweeted
#BlackTechTwitter Odunayo Eweniyi is Not Your Average Tech Bro" by @Vocal_Creators vocal.media/motivation/odu…
Nishan Srishankar retweeted
Just remembered when taking a knee was the most offensive, inexcusable form of protest in history
Nishan Srishankar retweeted
This is it! The greatest python package ever (with the weirdest name).
Nishan Srishankar retweeted
Oops..🤣🤣
Nishan Srishankar retweeted
Can we develop new methods to make ‘AI priori’ discoveries in peta-scale data? Next up is the Knowledge Discovery Framework team, join us here: fdl.ai #fdl2020 @googlecloud
Nishan Srishankar retweeted
Confidence Interval xkcd.com/2311/ m.xkcd.com/2311/
Nishan Srishankar retweeted
Second homemade video: I present a basic multi-agents setting, where agents live in the same world but have independent (i.i.d.) experiences. They want to coordinate to take optimal joint actions despite not being able to communicate at all! youtu.be/HIwZH2C--nA
Nishan Srishankar retweeted
📙 When Humans Aren't Optimal: Robots that Collaborate with Risk-Aware Humans Authors: @MinaeKwon, @ebiyik94, Aditi Talati, Karan Bhasin, Dylan P. Losey, @DorsaSadigh Paper: arxiv.org/abs/2001.04377 Featured Paper #1: bit.ly/ptk027
Me leaving shelter-in-place after 3 weeks (non-exaggerated).
Nishan Srishankar retweeted
Neural networks in c++ All the way from 1992, on floppy I wonder if the disk is still readable... #MachineLearning #retro #DataScience
WebAgentlab @webagentlab
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Explainable AI @XAI_Research
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Sebastian Stein @ProfSebStein
711 Followers 771 Following AI researcher working on multi-agent systems and incentive mechanisms; professor; Turing AI Fellow (@CCAIS_Soton). Views are my own.
Marija Popović @mpopovic514
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Chen Tang @ChenTangMark
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Austin Huang @austinvhuang
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DARS2022 Symposium @Dars2022_Sympo
131 Followers 198 Following When robots become intelligent, they seek to share data and work together. So welcome to "The 16th Int. Symposium on Distributed Autonomous Robotic Systems".
Kendre Savita @KendreSavita
19 Followers 40 Following Ph.D in Robotics | Masters in Mechatronics at #FHAachen Germany, Former #Honeywell HBS employee India, Bachelors in Mechanical Engineering #MITWPUOfficial
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Filippos Christianos @f_christianos
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Arturo Deza @ArtDeza
4K Followers 5K Following Co-Founder & CEO @Artificio_Org 👁️ • Prev: AI Professor @ UTEC 🤖 • NeuroAI PostDoc: MIT+Harvard, PhD: UCSB, Bsc: UNI 🧠 • Peruviano 🇵🇪 •🦈
Dra. Saiph Savage @saiphcita
12K Followers 9K Following 💼 Prof @Northeastern 🏛️ Director Civic AI Lab @NortheasternAI ⚖️AI Tech Policy: @GPAI_PMIA 🚀TR35: @MIT 🎓Alumni: @UNAM_MX 👷Former Tech Worker
Jinyung Hong @jinyungHong
155 Followers 374 Following Sr. Research Assistant @BarrowNeuro | Ph.D. in C.S. @SCAI_ASU | BEET lab under @TedPavlic | #BioinspiredComputing #ExplainableAI #NeuroAI
aamas2022 @aamas2022
450 Followers 407 Following 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS) Deadlines : Abstracts : 1 October 2021 Papers : 8 October 2021
MC @MecivirIvase
80 Followers 572 Following say my name right 👉🏾 https://t.co/4uH73I6fKe . she/her . A,T,C,G 🧬
Kristina Ulicna 👩�... @KristinaUlicna
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Nic Mücke 🦩 🇪�... @moskitos_bite
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Akhil Bagaria @akhil_bagaria
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Auriel @aurielws
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Alexander Holden Mill... @alex_h_miller
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EurIPS Conference @EurIPSConf
290 Followers 52 Following EurIPS is a community-organized, NeurIPS-endorsed conference in Copenhagen where you can present papers accepted at @NeurIPSConf
Reinforcement Learnin... @rlvg2025
111 Followers 11 Following The Reinforcement Learning and Video Games Workshop @RL_Conference 2025
Lewis Hammond @lrhammond
1K Followers 1K Following Research Director @coop_ai / DPhil Candidate @CompSciOxford / Affiliate @GovAI_ / Fellow @TheWilsonCenter
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WebAgentlab @webagentlab
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Lerrel Pinto @LerrelPinto
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Matic Robots @maticrobots
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Jasmine @j_asminewang
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North Jersey Buses @NJTRANSIT_NBUS
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CoCoMARL Workshop @cocomarl2024
163 Followers 28 Following The Coordination and Cooperation for Multi-Agent Reinforcement Learning (CoCoMARL) Workshop at @RL_Conference
Cas (Stephen Casper) @StephenLCasper
6K Followers 4K Following AI technical gov & risk management research. PhD student @MIT_CSAIL, fmr. @AISecurityInst. I'm on the CS faculty job market! https://t.co/r76TGxSVMb
Katerina Margatina @katemargatina
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Shreyas Kapur @shreyaskapur
3K Followers 180 Following PhD student @berkeley_ai. Prev. undergrad @MIT, intern @Waymo @GoogleDeepMind
Rachneet Kaur @kaurrachneet6
28 Followers 118 Following AI Research Lead @jpmorgan PhD @IllinoisISE | Mathematics @iitdelhi, @UnivofDelhi AI internships @jpmorgan, @Visa and @3M | Quant internship @quantlab
Gideon Mann @gideonmann
3K Followers 3K Following Global Head of AI, Technology at Millennium. All opinions my own.
NextGenAISafety Works... @NG_AI_Safety
57 Followers 14 Following Workshop at ICML'24, with a focus on emerging trends in AI and explore the challenges associated with deploying these technologies safely.
Jens Tuyls @JensTuyls
818 Followers 1K Following PhD @PrincetonCS. Previously CS & Eng. @UCIrvine. Studying AI, ML, RL, NLP.
Logan Graham @logangraham
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Daphne Cornelisse @daphne_cor
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Multi Agent Learning ... @MALSeminar
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ALOE Workshop @aloeworkshop
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