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2020 – today
- 2024
[c7]Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff:
Variational Learning is Effective for Large Deep Networks. ICML 2024- [i9]Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff:
Variational Learning is Effective for Large Deep Networks. CoRR abs/2402.17641 (2024) - 2023
- [c6]Christian Tomani, Futa Kai Waseda, Yuesong Shen, Daniel Cremers:
Beyond In-Domain Scenarios: Robust Density-Aware Calibration. ICML 2023: 34344-34368 - [i8]Christian Tomani, Futa Waseda, Yuesong Shen, Daniel Cremers
:
Beyond In-Domain Scenarios: Robust Density-Aware Calibration. CoRR abs/2302.05118 (2023) - [i7]Christian Koke, Abhishek Saroha, Yuesong Shen, Marvin Eisenberger, Daniel Cremers:
ResolvNet: A Graph Convolutional Network with multi-scale Consistency. CoRR abs/2310.00431 (2023) - 2022
- [c5]Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers:
What Makes Graph Neural Networks Miscalibrated? NeurIPS 2022 - [c4]Yuesong Shen, Daniel Cremers:
Deep Combinatorial Aggregation. NeurIPS 2022 - [i6]Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani, Daniel Cremers:
What Makes Graph Neural Networks Miscalibrated? CoRR abs/2210.06391 (2022) - [i5]Yuesong Shen, Daniel Cremers:
Deep Combinatorial Aggregation. CoRR abs/2210.06436 (2022) - [i4]Hans Hao-Hsun Hsu, Yuesong Shen, Daniel Cremers:
A Graph Is More Than Its Nodes: Towards Structured Uncertainty-Aware Learning on Graphs. CoRR abs/2210.15575 (2022) - 2021
- [c3]Yu Wang, Yuesong Shen, Daniel Cremers:
Explicit pairwise factorized graph neural network for semi-supervised node classification. UAI 2021: 1979-1987 - [i3]Yu Wang, Yuesong Shen, Daniel Cremers:
Explicit Pairwise Factorized Graph Neural Network for Semi-Supervised Node Classification. CoRR abs/2107.13059 (2021) - 2020
- [i2]Yuesong Shen, Daniel Cremers:
Deriving Neural Network Design and Learning from the Probabilistic Framework of Chain Graphs. CoRR abs/2006.16856 (2020)
2010 – 2019
- 2019
- [i1]Yuesong Shen, Tao Wu, Csaba Domokos, Daniel Cremers:
Probabilistic Discriminative Learning with Layered Graphical Models. CoRR abs/1902.00057 (2019) - 2017
- [c2]Yuesong Shen, Claire-Hélène Demarty, Ngoc Q. K. Duong:
Deep learning for multimodal-based video interestingness prediction. ICME 2017: 1003-1008 - 2016
- [c1]Yuesong Shen, Claire-Hélène Demarty, Ngoc Q. K. Duong:
Technicolor@MediaEval 2016 Predicting Media Interestingness Task. MediaEval 2016
Coauthor Index
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