Paper

  • Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion Model

    Chongxuan Li, Chendong Xiang, Min Zhao, Kaiwen Zheng, Hongzhou Zhu, Jun Zhu p30300-30326 from Advances in Neural Information Processing Systems 37
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  • Identifying Causal Effects Under Functional Dependencies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Causal Effects Under Functional Dependencies

    Yizuo Chen, Adnan Darwiche p87013-87041 from Advances in Neural Information Processing Systems 37
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  • Identifying Equivalent Training Dynamics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Equivalent Training Dynamics

    Juan Bello-Rivas, Maria Fonoberova, Yannis Kevrekidis, Igor Mezić, Ryan Mohr, William Redman p23603-23629 from Advances in Neural Information Processing Systems 37
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  • Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning

    Dan Braun, Nicholas Goldowsky-Dill, Lee Sharkey, Jordan Taylor p107286-107325 from Advances in Neural Information Processing Systems 37
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  • Identifying General Mechanism Shifts in Linear Causal Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying General Mechanism Shifts in Linear Causal Representations

    Bryon Aragam, Kevin Bello, Tianyu Chen, Francesco Locatello, Pradeep Ravikumar p42405-42429 from Advances in Neural Information Processing Systems 37
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  • Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Good Directions to Escape the NTK Regime and Efficiently Learn Low-Degree Plus Sparse Polynomials

    Yu Bai, Jason Lee, Eshaan Nichani p14568-14581 from Advances in Neural Information Processing Systems 35
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  • Identifying Latent State-Transition Processes for Individualized Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Latent State-Transition Processes for Individualized Reinforcement Learning

    Xinshuai Dong, Biwei Huang, Kazushi Ikeda, Songyao Jin, Roberto Legaspi, Peter Spirtes, Boyang Sun, Yuewen Sun, Yu Yao, Donghuo Zeng, Kun Zhang p124887-124924 from Advances in Neural Information Processing Systems 37
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  • Identifying Selections for Unsupervised Subtask Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Selections for Unsupervised Subtask Discovery

    Yiwen Qiu, Kun Zhang, Yujia Zheng p11966-11996 from Advances in Neural Information Processing Systems 37
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  • Identifying Spatio-Temporal Drivers of Extreme Events

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identifying Spatio-Temporal Drivers of Extreme Events

    Mohamad Eddin, Juergen Gall p93714-93766 from Advances in Neural Information Processing Systems 37
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  • Identifying Techno-Economic Improvements for a Steam Generating Heat Pump with Exergy-Based Costs Minimization

    ECOS 2023

    Identifying Techno-Economic Improvements for a Steam Generating Heat Pump with Exergy-Based Costs Minimization

    Brendon De Raad, Marit Van Lieshout, Lydia Stougie, Andrea Ramirez p884-895 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Identifying the Ideal Process Configuration for a Green Methanol Production Plant Dependent on Economic Boundary Conditions

    ECOS 2023

    Identifying the Ideal Process Configuration for a Green Methanol Production Plant Dependent on Economic Boundary Conditions

    Simon Maier, Ralph-Uwe Dietrich, Yoga Rahmat p1422-1431 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Identity Decoupling for Multi-Subject Personalization of Text-to-Image Models

    Sung Ju Hwang, Sangwon Jang, Jaehyeong Jo, Kimin Lee p100895-100937 from Advances in Neural Information Processing Systems 37
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