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Gabriel Grand

Evaluating statistical language models as pragmatic reasoners

May 01, 2023
Benjamin Lipkin, Lionel Wong, Gabriel Grand, Joshua B Tenenbaum

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* 8 pages, 4 figures, to appear in the Proceedings of the Annual Meeting of the Cognitive Science Society 2023

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Top-Down Synthesis for Library Learning

Nov 29, 2022
Matthew Bowers, Theo X. Olausson, Catherine Wong, Gabriel Grand, Joshua B. Tenenbaum, Kevin Ellis, Armando Solar-Lezama

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* Accepted at POPL 2023

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ChemBERTa-2: Towards Chemical Foundation Models

Sep 05, 2022
Walid Ahmad, Elana Simon, Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

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* ELLIS Machine Learning for Molecule Discovery Workshop

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Identifying concept libraries from language about object structure

May 11, 2022
Catherine Wong, William P. McCarthy, Gabriel Grand, Yoni Friedman, Joshua B. Tenenbaum, Jacob Andreas, Robert D. Hawkins, Judith E. Fan

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* Appears in the conference proceedings of CogSci 2022

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ChemBERTa: Large-Scale Self-Supervised Pretraining for Molecular Property Prediction

Oct 23, 2020
Seyone Chithrananda, Gabriel Grand, Bharath Ramsundar

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* Submitted to NeurIPS 2020 ML for Molecules Workshop

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Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects

Jun 20, 2019
Gabriel Grand, Yonatan Belinkov

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* In Proceedings of the 2nd Workshop on Shortcomings in Vision and Language (SiVL) at NAACL-HLT 2019

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On the Flip Side: Identifying Counterexamples in Visual Question Answering

Jul 24, 2018
Gabriel Grand, Aron Szanto, Yoon Kim, Alexander Rush

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* KDD 2018 conference version

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