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Poster
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Wed 9:00 |
Consistent Interpolating Ensembles via the Manifold-Hilbert Kernel Yutong Wang · Clay Scott |
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Poster
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Thu 9:00 |
NOMAD: Nonlinear Manifold Decoders for Operator Learning Jacob Seidman · Georgios Kissas · Paris Perdikaris · George J. Pappas |
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Poster
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Thu 14:00 |
Riemannian Diffusion Models Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville |
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Poster
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Wed 9:00 |
Improving Diffusion Models for Inverse Problems using Manifold Constraints Hyungjin Chung · Byeongsu Sim · Dohoon Ryu · Jong Chul Ye |
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Poster
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Tue 14:00 |
Learning Manifold Dimensions with Conditional Variational Autoencoders Yijia Zheng · Tong He · Yixuan Qiu · David P Wipf |
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Poster
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Thu 14:00 |
Effects of Data Geometry in Early Deep Learning Saket Tiwari · George Konidaris |
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Poster
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Wed 9:00 |
MAtt: A Manifold Attention Network for EEG Decoding Yue-Ting Pan · Jing-Lun Chou · Chun-Shu Wei |
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Poster
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Thu 14:00 |
The Burer-Monteiro SDP method can fail even above the Barvinok-Pataki bound Liam O'Carroll · Vaidehi Srinivas · Aravindan Vijayaraghavan |
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Poster
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Wed 14:00 |
On Non-Linear operators for Geometric Deep Learning Grégoire Sergeant-Perthuis · Jakob Maier · Joan Bruna · Edouard Oyallon |
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Poster
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You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection Jiangxin Sun · Chunyu Wang · Huang Hu · Hanjiang Lai · Zhi Jin · Jian-Fang Hu |
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Poster
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Tue 14:00 |
Shape And Structure Preserving Differential Privacy Carlos Soto · Karthik Bharath · Matthew Reimherr · Aleksandra Slavković |
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Poster
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Thu 14:00 |
Exploring the Latent Space of Autoencoders with Interventional Assays Felix Leeb · Stefan Bauer · Michel Besserve · Bernhard Schölkopf |