Aviv Netanyahu

@avivnet

AI Researcher | PhD @MIT_CSAIL | formerly @WeizmannScience @HebrewU

avivne.github.io

Joined December 2020

Aviv Netanyahu
@avivnet
Dec 10, 2024
I'm at #NeurIPS2024 presenting our work on: 🤖 Few-shot robot task learning via generative modeling ⚛️ Extrapolation in materials science I’m also on the job market this year! Let’s chat about industry research opportunities, distribution shift in ML, and AI4Science. 🧵
Aviv Netanyahu
@avivnet
Dec 6, 2024
Learning new tasks with imitation learning often requires hundreds of demos. Check out our #NeurIPS paper in which we learn new tasks from few demos by inverting them into the latent space of a generative model pre-trained on a set of base tasks. avivne.github.io/ftl-igm/
00:00
Aviv Netanyahu
@avivnet
Jul 18, 2024
Join us tomorrow to learn more about the role of LLMs in robot social intelligence!
Social Intelligence in Humans and Robots
@SIHRworkshop
Jul 18, 2024
Join us at the #RSS2024 Workshop on Social Intelligence in Humans and Robots on July 19 (1:45 - 6 pm, Netherland time). We have exciting talks covering diverse topics in robotics, AI, & cog sci. Schedule & Zoom available at: social-intelligence-human-ai.github.io
Aviv Netanyahu
@avivnet
Dec 21, 2023
Visual scene analysis is challenging due to the complexity of objects, properties, and relations in natural scenes. Our PNAS paper pnas.org/doi/10.1073/pn… proposes a goal-directed model for scene analysis that focuses on partial scene structures of interest.
pnas.org
Human-like scene interpretation by a guided counterstream processing | PNAS
In modeling vision, there has been a remarkable progress in recognizing a range of scene components, but the problem of analyzing full scenes, an u...
Aviv Netanyahu
@avivnet
May 1, 2023
Machine learning systems often fail to make predictions on out-of-support data, even when it has significant structure. Our #ICLR23 paper proposes a method for learning predictors that extrapolate without making domain-specific assumptions. arxiv.org/abs/2304.14329