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128 Results
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Poster
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Wed 16:30 |
Conditioning non-linear and infinite-dimensional diffusion processes Elizabeth L. Baker · Gefan Yang · Michael Severinsen · Christy Hipsley · Stefan Sommer |
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Poster
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Thu 11:00 |
Computation-Aware Gaussian Processes: Model Selection And Linear-Time Inference Jonathan Wenger · Kaiwen Wu · Philipp Hennig · Jacob Gardner · Geoff Pleiss · John Cunningham |
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Poster
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Thu 16:30 |
Accelerating Diffusion Models with Parallel Sampling: Inference at Sub-Linear Time Complexity Haoxuan Chen · Yinuo Ren · Lexing Ying · Grant Rotskoff |
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Poster
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Fri 11:00 |
Implicit Optimization Bias of Next-token Prediction in Linear Models Christos Thrampoulidis |
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Poster
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Thu 11:00 |
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee · Se-Young Yun · Kwang-Sung Jun |
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Workshop
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Adapter to facilitate Foundation Model Communication for DLO Instance Segmentation Omkar Joglekar · Shir Simon (Kozlovsky) · Dotan Di Castro |
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Poster
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Thu 16:30 |
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models Fangyikang Wang · Hubery Yin · Yue-Jiang Dong · Huminhao Zhu · zhang chao · Hanbin Zhao · Hui Qian · Chen Li |
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Poster
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Wed 16:30 |
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems Amber Hu · David Zoltowski · Aditya Nair · David Anderson · Lea Duncker · Scott Linderman |
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Poster
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Thu 16:30 |
Linearly Decomposing and Recomposing Vision Transformers for Diverse-Scale Models Shuxia Lin · Miaosen Zhang · Ruiming Chen · Xu Yang · Qiufeng Wang · Xin Geng |
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Poster
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Wed 16:30 |
Causal Bandits for Linear Structural Equation Models Burak Varici · Karthikeyan Shanmugam · Prasanna Sattigeri · Ali Tajer |
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Poster
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Wed 16:30 |
PPLNs: Parametric Piecewise Linear Networks for Event-Based Temporal Modeling and Beyond Chen Song · Zhenxiao Liang · Bo Sun · Qixing Huang |
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Poster
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Thu 16:30 |
Universality in Transfer Learning for Linear Models Reza Ghane · Danil Akhtiamov · Babak Hassibi |