217 research outputs found
Variational Causal Inference
No full textCounterfactual Generative Modeling with Variational Causal Inference (ICLR 2025)
https://github.com/yulun-rayn/variational-causal-inference
@article{wu2024counterfactual,
title={Counterfactual Generative Modeling with Variational Causal Inference},
author={Wu, Yulun and McConnell, Louie and Iriondo, Claudia},
journal={International Conference on Learning Representations},
year={2025}
Adversarially Pre-trained Transformer
No full textCheckpoints for "Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer" (ICML 2025)
https://github.com/yulun-rayn/APT
@article{wu2025zero,
title={Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer},
author={Wu, Yulun and Bergman, Doron L},
journal={International Conference on Machine Learning},
year={2025}
Variational Causal Inference
No full textCounterfactual Generative Modeling with Variational Causal Inference (ICLR 2025)
https://github.com/yulun-rayn/variational-causal-inference
@article{wu2024counterfactual,
title={Counterfactual Generative Modeling with Variational Causal Inference},
author={Wu, Yulun and McConnell, Louie and Iriondo, Claudia},
journal={International Conference on Learning Representations},
year={2025}
Conversazione con Wu Ming 1 sul New Italian Epic e la critica letteraria italiana
No full textIn this conversation, Wu Ming 1 of the collective author Wu Ming, offers a detailed explanation of its aesthetics and literary philosophy. While the starting point is the recent publication of the memorandum about "The New Italian Epic," Wu Ming 1 takes advantage of the questions to survey their ethical stance as intellectuals very much involved in the public sphere
Cellular Response Prediction
No full textPredicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
https://github.com/yulun-rayn/graphVCI
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
L008 CROP-seq Dataset
No full textPlease cite the following work if you find the L008 dataset useful in your research.
https://arxiv.org/abs/2210.00116
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
L008 CROP-seq Dataset
No full textPlease cite the following work if you find the L008 dataset useful in your research.
https://arxiv.org/abs/2210.00116
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
THE IMAGINATIONS OF SPACES IN THE NEW STORY OF A STONE
No full textThis thesis discusses the imagination of spaces in the late Qing novel The New Story of a Stone. Analyzing the imagination of the spaces such as “museum” and “submarine” in the novel, this thesis explores the author Wu Jianren’s attitude toward China and the West, Chinese traditional culture and modernity at the turn of twentieth century. The thesis argues that the novel embodies Wu’s ambivalent values towards traditional indigenous culture and foreign modern culture
Cellular Response Prediction
No full textPredicting Cellular Responses with Variational Causal Inference and Refined Relational Information (ICLR 2023)
https://github.com/yulun-rayn/graphVCI
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
L008 CROP-seq Dataset
No full textPlease cite the following work if you find the L008 dataset useful in your research.
https://arxiv.org/abs/2210.00116
@article{wu2022predicting,
title={Predicting cellular responses with variational causal inference and refined relational information},
author={Wu, Yulun and Barton, Robert A and Wang, Zichen and Ioannidis, Vassilis N and De Donno, Carlo and Price, Layne C and Voloch, Luis F and Karypis, George},
journal={International Conference on Learning Representations},
year={2023}
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