Paper

  • Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Generative Models are Sufficient to Sample from Any Causal Effect Estimand

    Matt Jordan, Murat Kocaoglu, Md Musfiqur Rahman p77269-77315 from Advances in Neural Information Processing Systems 37
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  • Conditional independence testing under misspecified inductive biases

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional independence testing under misspecified inductive biases

    Moulinath Banerjee, Felipe Maia Polo, Yuekai Sun p58577-58612 from Advances in Neural Information Processing Systems 36
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  • Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Independence Testing with Heteroskedastic Data and Applications to Causal Discovery

    Wiebke Günther, Urmi Ninad, Jakob Runge, Jonas Wahl p16191-16202 from Advances in Neural Information Processing Systems 35
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  • Conditional Matrix Flows for Gaussian Graphical Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Matrix Flows for Gaussian Graphical Models

    Fabricio Arend Torres, Marcello Massimo Negri, Volker Roth p25095-25111 from Advances in Neural Information Processing Systems 36
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  • Conditional Meta-Learning of Linear Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Meta-Learning of Linear Representations

    Carlo Ciliberto, Giulia Denevi, Massimiliano Pontil p253-266 from Advances in Neural Information Processing Systems 35
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  • Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Mutual Information for Disentangled Representations in Reinforcement Learning

    Stefano Albrecht, Mhairi Dunion, Josiah Hanna, Kevin Luck, Trevor McInroe p80111-80129 from Advances in Neural Information Processing Systems 36
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  • Conditional Outcome Equivalence: A Quantile Alternative to CATE

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Outcome Equivalence: A Quantile Alternative to CATE

    Josh Givens, Song Liu, Henry Reeve, Katarzyna Reluga p102634-102671 from Advances in Neural Information Processing Systems 37
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  • Conditional Score Guidance for Text-Driven Image-to-Image Translation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Score Guidance for Text-Driven Image-to-Image Translation

    Bohyung Han, Minsoo Kang, Hyunsoo Lee p38685-38708 from Advances in Neural Information Processing Systems 36
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  • Conditional score-based diffusion models for Bayesian inference in infinite dimensions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional score-based diffusion models for Bayesian inference in infinite dimensions

    Lorenzo Baldassari, Maarten V. De Hoop, Josselin Garnier, Ali Siahkoohi, Knut Solna p24262-24290 from Advances in Neural Information Processing Systems 36
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  • Conditional Synthesis of 3D Molecules with Time Correction Sampler

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditional Synthesis of 3D Molecules with Time Correction Sampler

    Jaehyeong Jo, Hojung Jung, Bongsang Kim, Dongkyu Lee, Youngrok Park, Laura Schmid, Jinwoo Shin, Se-Young Yun p75914-75941 from Advances in Neural Information Processing Systems 37
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  • Conditioning non-linear and infinite-dimensional diffusion processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Conditioning non-linear and infinite-dimensional diffusion processes

    Elizabeth Baker, Christy Hipsley, Michael Severinsen, Stefan Sommer, Gefan Yang p10801-10826 from Advances in Neural Information Processing Systems 37
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  • CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting

    Jianrong Ding, Haiming Jin, Linghe Kong, Zhanyu Liu, Guanjie Zheng p128227-128259 from Advances in Neural Information Processing Systems 37
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