Paper

  • Invariant subspaces and PCA in nearly matrix multiplication time

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Invariant subspaces and PCA in nearly matrix multiplication time

    Mathieu Luisier, Marko Mladenović, Aleksandros Sobczyk p19013-19086 from Advances in Neural Information Processing Systems 37
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  • Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Invariant Tokenization of Crystalline Materials for Language Model Enabled Generation

    Raymundo Arróyave, Kenna Ashen, Carl Edwards, Heng Ji, Shuiwang Ji, Xiner Li, Hongyi Ling, Xiaofeng Qian, Xiaoning Qian, Keqiang Yan, Marinka Zitnik p125050-125072 from Advances in Neural Information Processing Systems 37
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  • INVENTORY-CONSTRAINED DESIGN METHOD FOR WHOLE TREE USE IN BRANCHING CANOPY STRUCTURES

    World Conference on Timber Engineering 2025

    INVENTORY-CONSTRAINED DESIGN METHOD FOR WHOLE TREE USE IN BRANCHING CANOPY STRUCTURES

    Yue Feng, Hengyi Ren, Kim Baber, Canhui Chen, Xingfei Yuan, Joseph M. Gattas p3976-3983 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Inverse Design for Fluid-Structure Interactions Using Graph Network Simulators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Design for Fluid-Structure Interactions Using Graph Network Simulators

    Kelsey Allen, Peter Battaglia, Jessica Hamrick, Tatiana Lopez-Guevara, Tobias Pfaff, Alvaro Sanchez Gonzalez, Kimberly Stachenfeld p13759-13774 from Advances in Neural Information Processing Systems 35
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  • Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation

    David Brandfonbrener, Joan Bruna, Ofir Nachum p66953-66978 from Advances in Neural Information Processing Systems 36
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  • Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Factorized Soft Q-Learning for Cooperative Multi-agent Imitation Learning

    The Viet Bui, Tien Mai, Thanh Nguyen p27178-27206 from Advances in Neural Information Processing Systems 37
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  • Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Game Theory for Stackelberg Games: The Blessing of Bounded Rationality

    Fei Fang, Weiran Shen, Jibang Wu, Haifeng Xu p32186-32198 from Advances in Neural Information Processing Systems 35
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  • Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse M-Kernels for Linear Universal Approximators of Non-Negative Functions

    Hideaki Kim p31036-31055 from Advances in Neural Information Processing Systems 37
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  • Inverse Preference Learning: Preference-based RL without a Reward Function

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Preference Learning: Preference-based RL without a Reward Function

    Joey Hejna, Dorsa Sadigh p18806-18827 from Advances in Neural Information Processing Systems 36
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  • Inverse Reinforcement Learning with the Average Reward Criterion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inverse Reinforcement Learning with the Average Reward Criterion

    Jingyang Ke, Anqi Wu, Feiyang Wu p69117-69129 from Advances in Neural Information Processing Systems 36
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  • Inversion-based Latent Bayesian Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Inversion-based Latent Bayesian Optimization

    Jaewon Chu, Hyunwoo Kim, Seunghun Lee, Jinyoung Park p68258-68286 from Advances in Neural Information Processing Systems 37
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  • InversionView: A General-Purpose Method for Reading Information from Neural Activations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    InversionView: A General-Purpose Method for Reading Information from Neural Activations

    Navin Goyal, Michael Hahn, Xinting Huang, Madhur Panwar p137903-137964 from Advances in Neural Information Processing Systems 37
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