|
🐜
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BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
7 auth.
Zhijian Liu,
Haotian Tang,
Alexander Amini,
Xinyu Yang,
Huizi Mao,
Daniela Rus,
...
Song Han
|
9 |
2022 |
9
🐜
|
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🐬
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Evidential Deep Learning for Guided Molecular Property Prediction and Discovery
A. Soleimany,
Alexander Amini,
Samuel Goldman,
Daniela Rus,
S. Bhatia,
Connor W. Coley
|
7 |
2021 |
7
🐬
|
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🐢
|
Efficient Dataset Distillation Using Random Feature Approximation
Noel Loo,
Ramin M. Hasani,
Alexander Amini,
Daniela Rus
|
6 |
2022 |
6
🐢
|
|
🐢
|
Liquid Structural State-Space Models
Ramin M. Hasani,
Mathias Lechner,
Tsun-Hsuan Wang,
Makram Chahine,
Alexander Amini,
Daniela Rus
|
6 |
2022 |
6
🐢
|
|
🐢
|
BarrierNet: Differentiable Control Barrier Functions for Learning of Safe Robot Control
7 auth.
Wei Xiao,
Tsun-Hsuan Wang,
Ramin M. Hasani,
Makram Chahine,
Alexander Amini,
Xiao Li,
...
Daniela Rus
|
6 |
2023 |
6
🐢
|
|
🐬
|
TransCenter: Transformers With Dense Representations for Multiple-Object Tracking
Yihong Xu,
Yutong Ban,
Guillaume Delorme,
Chuang Gan,
Daniela Rus,
Xavier Alameda-Pineda
|
6 |
2021 |
6
🐬
|
|
🐢
|
Closed-form continuous-time neural networks
8 auth.
Ramin M. Hasani,
Mathias Lechner,
Alexander Amini,
Lucas Liebenwein,
Aaron Ray,
Max Tschaikowski,
...
G. Teschl,
Daniela Rus
|
6 |
2021 |
6
🐢
|
|
🐢
|
Causal Navigation by Continuous-time Neural Networks
Charles J. Vorbach,
Ramin M. Hasani,
Alexander Amini,
Mathias Lechner,
Daniela Rus
|
5 |
2021 |
5
🐢
|
|
🐢
|
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Lucas Liebenwein,
Alaa Maalouf,
O. Gal,
Dan Feldman,
Daniela Rus
|
5 |
2021 |
5
🐢
|
|
🐢
|
ActionSense: A Multimodal Dataset and Recording Framework for Human Activities Using Wearable Sensors in a Kitchen Environment
8 auth.
Joseph DelPreto,
Chao Liu,
Yiyue Luo,
Michael Foshey,
Yunzhu Li,
A. Torralba,
...
W. Matusik,
Daniela Rus
|
5 |
2022 |
5
🐢
|
