Stanford AI Lab (@StanfordAILab) started following @Rahul_Venkatesh on Oct 2, 2024

@honglin_c @recursus @dyamins @eccvconf I am very grateful to work on this project with amazing collaborators from Stanford @NeuroAILab , MIT and UCSD – @honglin_c , Kevin Feigelis, @recursus, @KlemenKotar, @KJedoui, Wanhee Lee, Felix Binder, Sherry Liu, @realkevinsmith, @judyefan and @dyamins (5/5)

@honglin_c @recursus @dyamins @eccvconf These structures help achieve state-of-the-art results the Physion benchmark for physical dynamics understanding (4/5) https://t.co/DkSRITYCjy

RT @dyamins: Really excited about this line of work! If you're at ECCV, go see Rahul's poster.

RT @Rahul_Venkatesh: Excited to present our #ECCV2024 paper on “Understanding Physical Dynamics with Counterfactual World Modeling” with @h…

RT @Qi_Wu577: Introducing Helpful DoggyBot🐕, a legged mobile manipulation system: - A quadruped with a mouth - Agile whole-body skills like…

RT @zipengfu: Introduce DoggyBot🐕series: quadrupeds can also do manipulation. It's a fruitful 4yr journey working on robot dogs from walki…

RT @JonSaadFalcon: What is the best way to spend your inference compute budget to create LLM systems greater than the sum of their parts?…

RT @leg2015: One ocean, two planes, three trains, and 35 stickers later (long story), my first ECCV poster is finally on the books! https:/…

RT @KarlPertsch: I'll give a talk at the Multimodal Agents workshop at ECCV tomorrow Sept 30, at 2:20pm CET. Excited for my first talk at a…

RT @leto__jean: This is a great paper with actionable suggestions on how to evaluate robot policies. If everyone were to follow these, we…

RT @sunfanyun: Training RL/robot policies requires extensive experience in the target environment, which is often difficult to obtain. How…

RT @SuryaGanguli: Our new NeurIPS spotlight: https://t.co/0GcC4xz57K Get rich quick: new exact solutions to learning dynamics reveal how un…

RT @StanfordHAI: .@StanfordHAI Co-Director Fei-Fei Li joined @BillGates, Francis Kere, and @BillClinton for the main stage closing session…

RT @Dilip_Arumugam: A belated life update: I defended my PhD and graduated from @StanfordAILab! Immensely grateful to my advisor, BVR, and…

RT @deedydas: Stanford Computer Science has so much alpha because its classes update within months of real-world research. Most other top…

RT @mjlbach: Really interesting paper from @tengyuma's group from May of this year that sheds some light on the power of Chain of Thought (…

RT @yeung_levy: Our lab at Stanford has postdoc openings! Candidates should have expertise and interests in one or multiple of: multimodal…

RT @sopharicks: It was a great pleasure to learn about the research work @sunfanyun from @StanfordAILab is doing. Looking forward to a futu…

RT @megha_byte: Ever wanted to generate smokey logograms from the heptapod language in the awesome sci-fi movie "Arrival" (2016)? Probably…

RT @percyliang: During @jwthickstun’s post-doc with me, he created the anticipatory music Transformer. This culminated in a violin accompan…

RT @eunsolc: My lab will move to @NYUDataScience and @NYU_Courant this Fall! I’m excited to connect with amazing researchers at @CILVRatNYU…

RT @yeung_levy: Our lab at Stanford has postdoc openings! Candidates should have expertise and interests in one or multiple of: multimodal…

RT @sopharicks: It was a great pleasure to learn about the research work @sunfanyun from @StanfordAILab is doing. Looking forward to a futu…

RT @megha_byte: Ever wanted to generate smokey logograms from the heptapod language in the awesome sci-fi movie "Arrival" (2016)? Probably…

RT @FareedZakaria: How AI pioneer @drfeifei pushed the technology to a new frontier—visual and spatial recognition—by compiling a massive d…

I had a fun time chatting with @FareedZakaria about AI!😍🙏

RT @sea_snell: On difficult problems, humans can think longer to improve their decisions. Can we instill a similar capability into LLMs? An…

Really nice concurrent paper from @DavidGlukhov describing when seemingly benign outputs enable misuse. I especially like the "information theoretic" view: to reduce misuse, optimize to reduce the adversary's information gain wrt to a malicious task rather than simply suppress it