ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2106.12718
  4. Cited By
Sparse Flows: Pruning Continuous-depth Models

Sparse Flows: Pruning Continuous-depth Models

24 June 2021
Lucas Liebenwein
Ramin Hasani
Alexander Amini
Daniela Rus
ArXivPDFHTML

Papers citing "Sparse Flows: Pruning Continuous-depth Models"

12 / 12 papers shown
Title
Sparsity in Continuous-Depth Neural Networks
Sparsity in Continuous-Depth Neural Networks
H. Aliee
Till Richter
Mikhail Solonin
I. Ibarra
Fabian J. Theis
Niki Kilbertus
19
10
0
26 Oct 2022
Pruning by Active Attention Manipulation
Pruning by Active Attention Manipulation
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
4
0
0
20 Oct 2022
Interpreting Neural Policies with Disentangled Tree Representations
Interpreting Neural Policies with Disentangled Tree Representations
Tsun-Hsuan Wang
Wei Xiao
Tim Seyde
Ramin Hasani
Daniela Rus
DRL
19
2
0
13 Oct 2022
On the Forward Invariance of Neural ODEs
On the Forward Invariance of Neural ODEs
Wei Xiao
Tsun-Hsuan Wang
Ramin Hasani
Mathias Lechner
Yutong Ban
Chuang Gan
Daniela Rus
26
11
0
10 Oct 2022
Liquid Structural State-Space Models
Liquid Structural State-Space Models
Ramin Hasani
Mathias Lechner
Tsun-Hsuan Wang
Makram Chahine
Alexander Amini
Daniela Rus
AI4TS
97
95
0
26 Sep 2022
Entangled Residual Mappings
Entangled Residual Mappings
Mathias Lechner
Ramin Hasani
Z. Babaiee
Radu Grosu
Daniela Rus
T. Henzinger
Sepp Hochreiter
4
4
0
02 Jun 2022
End-to-End Sensitivity-Based Filter Pruning
End-to-End Sensitivity-Based Filter Pruning
Z. Babaiee
Lucas Liebenwein
Ramin Hasani
Daniela Rus
Radu Grosu
AAML
9
1
0
15 Apr 2022
Compressing Neural Networks: Towards Determining the Optimal Layer-wise
  Decomposition
Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Lucas Liebenwein
Alaa Maalouf
O. Gal
Dan Feldman
Daniela Rus
19
46
0
23 Jul 2021
Closed-form Continuous-time Neural Models
Closed-form Continuous-time Neural Models
Ramin Hasani
Mathias Lechner
Alexander Amini
Lucas Liebenwein
Aaron Ray
Max Tschaikowski
G. Teschl
Daniela Rus
PINN
AI4TS
18
82
0
25 Jun 2021
Causal Navigation by Continuous-time Neural Networks
Causal Navigation by Continuous-time Neural Networks
Charles J. Vorbach
Ramin Hasani
Alexander Amini
Mathias Lechner
Daniela Rus
11
47
0
15 Jun 2021
Convex Potential Flows: Universal Probability Distributions with Optimal
  Transport and Convex Optimization
Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization
Chin-Wei Huang
Ricky T. Q. Chen
Christos Tsirigotis
Aaron Courville
OT
112
95
0
10 Dec 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,886
0
15 Sep 2016
1