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67 Results
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Poster
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Tue 2:30 |
Sampling-based inference for large linear models, with application to linearised Laplace Javier Antorán · Shreyas Padhy · Riccardo Barbano · Eric Nalisnick · David Janz · José Miguel Hernández Lobato |
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Poster
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Wed 7:30 |
Fast Nonlinear Vector Quantile Regression Aviv A. Rosenberg · Sanketh Vedula · Yaniv Romano · Alexander Bronstein |
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Poster
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Mon 2:30 |
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation Edoardo Balzani · Jean-Paul Noel · Pedro Herrero-Vidal · Dora Angelaki · Cristina Savin |
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Poster
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Mon 2:30 |
Weighted Clock Logic Point Process Ruixuan Yan · Yunshi Wen · Debarun Bhattacharjya · Ronny Luss · Tengfei Ma · Achille Fokoue · Anak Agung Julius |
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Oral
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Mon 1:00 |
A probabilistic framework for task-aligned intra- and inter-area neural manifold estimation Edoardo Balzani · Jean-Paul Noel · Pedro Herrero-Vidal · Dora Angelaki · Cristina Savin |
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Poster
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Graph Neural Network-Inspired Kernels for Gaussian Processes in Semi-Supervised Learning Zehao Niu · Mihai Anitescu · Jie Chen |
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Poster
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Tue 7:30 |
GFlowNets and variational inference Nikolay Malkin · Salem Lahlou · Tristan Deleu · Xu Ji · Edward Hu · Katie Everett · Dinghuai Zhang · Yoshua Bengio |