Aviv Netanyahu

28 posts

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Aviv Netanyahu

Aviv Netanyahu

@avivnet

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

Katılım Aralık 2020
171 Takip Edilen435 Takipçiler
Aviv Netanyahu
Aviv Netanyahu@avivnet·
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. 🧵
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
We evaluate our approach extensively and demonstrate that we successfully learn novel tasks and generate corresponding agent plans and motion in (1) unseen configurations and (2) in composition with training tasks.
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
Tasks are often defined by a policy, reward, or trajectory, requiring retraining for new tasks. Inspired by few-shot visual concept learning via inverting generative models, we infer tasks represented as latent vectors without retraining.
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
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/
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
Excited that this amazing project I was fortunate to be part of during my time at @WeizmannScience is now published! Led by Shimon Ullman, Liav Assif, and Alona Strugatski, and in collaboration with Ben-Zion Vatashsky, Hila Levi, and @AdamYaari.
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
We further show across several tasks that TD guidance is crucial for noncombinatorial and combinatorial generalization in the low and high data regimes.
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
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.
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Aviv Netanyahu retweetledi
Andi Peng
Andi Peng@TheAndiPenguin·
I'm excited to share our #ICML2023 paper: we develop a user-informed framework for eliciting feedback to diagnose and fix policy failures. Project page: andipeng.com/counterfactual…. [1/8]
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
We demonstrate our method's capabilities on various regression tasks and robotics imitation learning tasks, such as action prediction for picking and placing an object at a target with a robotic arm.
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Aviv Netanyahu
Aviv Netanyahu@avivnet·
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
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