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24 Results
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Workshop
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On Data Augmentation and Consistency-based Semi-supervised Relation Extraction Komal Teru |
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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 |
Riemannian Diffusion Models Chin-Wei Huang · Milad Aghajohari · Joey Bose · Prakash Panangaden · Aaron Courville |
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Workshop
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Self Supervised Pre-training for Large Scale Tabular Data Sharad Chitlangia · Anand Muralidhar · Rajat Agarwal |
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Poster
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Tue 9:00 |
DiSC: Differential Spectral Clustering of Features Ram Dyuthi Sristi · Gal Mishne · Ariel Jaffe |
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Workshop
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Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs Timothy Kim · Tankut Can · Kamesh Krishnamurthy |
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Poster
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Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation Zhiwei Hao · Jianyuan Guo · Ding Jia · Kai Han · Yehui Tang · Chao Zhang · Han Hu · Yunhe Wang |
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Poster
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Wed 9:00 |
Riemannian Neural SDE: Learning Stochastic Representations on Manifolds Sung Woo Park · Hyomin Kim · Kyungjae Lee · Junseok Kwon |
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Poster
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Wed 9:00 |
The Gyro-Structure of Some Matrix Manifolds Xuan Son Nguyen |
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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 |
Effects of Data Geometry in Early Deep Learning Saket Tiwari · George Konidaris |
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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 |