E-LIB Suche - Ergebnisse für: Therien, Benjamin

1

Object Re-Identification from Point Clouds:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),

Therien, Benjamin ; Huang, Chengjie ; Chow, Adrian. - p. 8362-8373 , 2024

Link: https://doi.org/10.1109/..

2

Parametric Scattering Networks:

, In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),

Gauthier, Shanel ; Therien, Benjamin ; Alsene-Racicot, Laurent... - p. 5739-5748 , 2022

Link: https://doi.org/10.1109/..

3

Out-of-Distribution Detection for LiDAR-based 3D Object Det..:

, In: 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC),

Huang, Chengjie ; Nguyen, Van Duong ; Abdelzad, Vahdat... - p. 4265-4271 , 2022

Link: https://doi.org/10.1109/..

4

Can We Learn Communication-Efficient Optimizers?:

Joseph, Charles-Étienne ; Thérien, Benjamin ; Moudgil, Abhinav..
http://arxiv.org/abs/2312.02204. , 2023

Link: http://arxiv.org/abs/231..

5

Object Re-Identification from Point Clouds:

Thérien, Benjamin ; Huang, Chengjie ; Chow, Adrian.
http://arxiv.org/abs/2305.10210. , 2023

Link: http://arxiv.org/abs/230..

6

Continual Pre-Training of Large Language Models: How to (re..:

Gupta, Kshitij ; Thérien, Benjamin ; Ibrahim, Adam...
http://arxiv.org/abs/2308.04014. , 2023

Link: http://arxiv.org/abs/230..

7

A Closer Look at Robustness to L-infinity and Spatial Pertu..:

Rowe, Luke ; Thérien, Benjamin ; Czarnecki, Krzysztof.
http://arxiv.org/abs/2210.02577. , 2022

Link: http://arxiv.org/abs/221..

8

Interpretable Deep Tracking:

Thérien, Benjamin ; Czarnecki, Krzysztof
http://arxiv.org/abs/2210.01266. , 2022

Link: http://arxiv.org/abs/221..

9

Out-of-Distribution Detection for LiDAR-based 3D Object Det..:

Huang, Chengjie ; Nguyen, Van Duong ; Abdelzad, Vahdat...
http://arxiv.org/abs/2209.14435. , 2022

Link: http://arxiv.org/abs/220..

10

Parametric Scattering Networks:

Gauthier, Shanel ; Thérien, Benjamin ; Alsène-Racicot, Laurent...
http://arxiv.org/abs/2107.09539. , 2021

Link: http://arxiv.org/abs/210..

11

Expanding the paradigm of thiol redox in the thermophilic r..:

Heinemann, Joshua ; Hamerly, Timothy ; Maaty, Walid S....
Biochimica et Biophysica Acta (BBA) - General Subjects. 1840 (2014) 1 - p. 80-85 , 2014

Link: https://doi.org/10.1016/..

12

A deep learning framework for neuroscience:

Richards, Blake A ; Lillicrap, Timothy P ; Beaudoin, Philippe...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7115933/. , 2019

Link: http://www.ncbi.nlm.nih...

13

A deep learning framework for neuroscience:

Richards, Blake A ; Lillicrap, Timothy P ; Beaudoin, Philippe...
Richards , B A , Lillicrap , T P , Beaudoin , P , Bengio , Y , Bogacz , R , Christensen , A , Clopath , C , Costa , R P , de Berker , A , Ganguli , S , Gillon , C J , Hafner , D , Kepecs , A , Kriegeskorte , N , Latham , P , Lindsay , G W , Miller , K D , Naud , R , Pack , C C , Poirazi , P , Roelfsema , P , Sacramento , J , Saxe , A , Scellier , B , Schapiro , A C , Senn , W , Wayne , G , Yamins , D , Zenke , F , Zylberberg , J , Therien , D & Kording , K P 2019 , ' A deep learning framework for neuroscience ' , Nature Neuroscience , vol. 22 , no. 11 , pp. 1761-1770 . https://doi.org/10.1038/s41593-019-0520-2. , 2019

Link: https://hdl.handle.net/1..