Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages von Hu, Yingjie, Mai, Gengchen, Cundy, Chris, Choi, Kristy, Lao, Ni, Liu, Wei, Lakhanpal, Gaurish, Zhou, Ryan Zhenqi, Joseph, Kenneth

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A physics-informed machine learning model for the prediction of drop breakup in two-phase flows von Cundy, Chris, Mirjalili, Shahab, Laurent, Charlélie, Ermon, Stefano, Iaccarino, Gianluca, Mani, Ali

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On the Opportunities and Challenges of Foundation Models for GeoAI (Vision Paper) von Mai, Gengchen, Huang, Weiming, Sun, Jin, Song, Suhang, Mishra, Deepak, Liu, Ninghao, Gao, Song, Liu, Tianming, Cong, Gao, Hu, Yingjie, Cundy, Chris, Li, Ziyuan, Zhu, Rui, Lao, Ni

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SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking von Cundy, Chris, Ermon, Stefano

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SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking von Cundy, Chris, Ermon, Stefano

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BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery von Cundy, Chris, Grover, Aditya, Ermon, Stefano

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Exploring Hierarchy-Aware Inverse Reinforcement Learning von Cundy, Chris, Filan, Daniel

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Planning in a recurrent neural network that plays Sokoban von Taufeeque, Mohammad, Quirke, Philip, Li, Maximilian, Cundy, Chris, Tucker, Aaron David, Gleave, Adam, Garriga-Alonso, Adrià

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LMPriors: Pre-Trained Language Models as Task-Specific Priors von Choi, Kristy, Cundy, Chris, Srivastava, Sanjari, Ermon, Stefano

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Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients von Cundy, Chris, Desai, Rishi, Ermon, Stefano

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Parallelizing Linear Recurrent Neural Nets Over Sequence Length von Martin, Eric, Cundy, Chris

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Privacy-Constrained Policies via Mutual Information Regularized Policy Gradients von Cundy, Chris, Desai, Rishi, Ermon, Stefano

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Geo-knowledge-guided GPT models improve the extraction of location descriptions from disaster-related social media messages von Hu, Yingjie, Gengchen Mai, Cundy, Chris, Choi, Kristy, Lao, Ni, Liu, Wei, Lakhanpal, Gaurish, Zhou, Ryan Zhenqi, Joseph, Kenneth

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On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence von Mai, Gengchen, Huang, Weiming, Sun, Jin, Song, Suhang, Mishra, Deepak, Liu, Ninghao, Gao, Song, Liu, Tianming, Cong, Gao, Hu, Yingjie, Cundy, Chris, Li, Ziyuan, Zhu, Rui, Lao, Ni

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IQ-Learn: Inverse soft-Q Learning for Imitation von Garg, Divyansh, Chakraborty, Shuvam, Cundy, Chris, Song, Jiaming, Geist, Matthieu, Ermon, Stefano

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BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery von Cundy, Chris, Grover, Aditya, Ermon, Stefano

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Exploring Hierarchy-Aware Inverse Reinforcement Learning von Cundy, Chris, Filan, Daniel

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Parallelizing Linear Recurrent Neural Nets Over Sequence Length von Martin, Eric, Cundy, Chris

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Planning in a recurrent neural network that plays Sokoban von Taufeeque, Mohammad, Quirke, Philip, Li, Maximilian, Cundy, Chris, Tucker, Aaron David, Gleave, Adam, Garriga-Alonso, Adrià

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Neural Networks and the Chomsky Hierarchy von Delétang, Grégoire, Ruoss, Anian, Grau-Moya, Jordi, Genewein, Tim, Wenliang, Li Kevin, Catt, Elliot, Cundy, Chris, Hutter, Marcus, Legg, Shane, Veness, Joel, Ortega, Pedro A

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