firstbacksecondback
153 Results
|
Oral
|
Tue 13:45 |
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar |
|
|
Poster
|
Thu 15:00 |
Transformer Quality in Linear Time Weizhe Hua · Zihang Dai · Hanxiao Liu · Quoc Le |
|
|
Poster
|
Thu 15:00 |
Neural Inverse Transform Sampler Henry Li · Yuval Kluger |
|
|
Poster
|
Tue 15:30 |
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen · Aditya Grover |
|
|
Spotlight
|
Tue 10:45 |
Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes Gregory Benton · Wesley Maddox · Andrew Wilson |
|
|
Oral
|
Thu 8:05 |
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias Yupu Lu · Shijie Lin · Guanqi Chen · Jia Pan |
|
|
Poster
|
Thu 15:00 |
ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias Yupu Lu · Shijie Lin · Guanqi Chen · Jia Pan |
|
|
Poster
|
Tue 15:30 |
A deep convolutional neural network that is invariant to time rescaling Brandon G Jacques · Zoran Tiganj · Aakash Sarkar · Marc Howard · Per Sederberg |
|
|
Spotlight
|
Tue 14:20 |
A Deep Learning Approach for the Segmentation of Electroencephalography Data in Eye Tracking Applications Lukas Wolf · Ard Kastrati · Martyna Plomecka · Jieming Li · Dustin Klebe · Alexander Veicht · Roger Wattenhofer · Nicolas Langer |
|
|
Poster
|
Thu 15:00 |
Addressing Optimism Bias in Sequence Modeling for Reinforcement Learning Adam Villaflor · Zhe Huang · Swapnil Pande · John Dolan · Jeff Schneider |
|
|
Poster
|
Wed 15:30 |
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park · Ondrej Biza · Linfeng Zhao · Jan-Willem van de Meent · Robin Walters |
|
|
Spotlight
|
Tue 7:40 |
Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling Tung Nguyen · Aditya Grover |