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Theseus: A Library for Differentiable Nonlinear Optimization

Theseus: A Library for Differentiable Nonlinear Optimization

19 July 2022
Luis Pineda
Taosha Fan
Maurizio Monge
S. Venkataraman
Paloma Sodhi
Ricky T. Q. Chen
Joseph Ortiz
Daniel DeTone
Austin S. Wang
Stuart Anderson
Jing Dong
Brandon Amos
Mustafa Mukadam
ArXivPDFHTML

Papers citing "Theseus: A Library for Differentiable Nonlinear Optimization"

18 / 18 papers shown
Title
Differentiable Nonlinear Model Predictive Control
Differentiable Nonlinear Model Predictive Control
Jonathan Frey
Katrin Baumgärtner
G. Frison
D. Reinhardt
Jasper Hoffmann
Leonard Fichtner
S. Gros
Moritz Diehl
19
0
0
02 May 2025
Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations
Learning Dynamics of a Ball with Differentiable Factor Graph and Roto-Translational Invariant Representations
Qingyu Xiao
Zixuan Wu
Matthew C. Gombolay
94
1
0
24 Feb 2025
RandALO: Out-of-sample risk estimation in no time flat
RandALO: Out-of-sample risk estimation in no time flat
Parth Nobel
Daniel LeJeune
Emmanuel J. Candès
27
3
0
15 Sep 2024
Differentiable-Optimization Based Neural Policy for Occlusion-Aware
  Target Tracking
Differentiable-Optimization Based Neural Policy for Occlusion-Aware Target Tracking
Houman Masnavi
Arun Kumar Singh
Farrokh Janabi-Sharifi
20
0
0
20 Jun 2024
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
Weikang Wan
Ziyu Wang
Zackory M. Erickson
David Held
David Held
26
4
0
08 Feb 2024
Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic
  Clothing Driven by Sparse RGB-D Input
Drivable Avatar Clothing: Faithful Full-Body Telepresence with Dynamic Clothing Driven by Sparse RGB-D Input
Donglai Xiang
F. Prada
Zhe Cao
Kaiwen Guo
Chenglei Wu
Jessica Hodgins
Timur M. Bagautdinov
3DH
29
14
0
09 Oct 2023
A survey of manifold learning and its applications for multimedia
A survey of manifold learning and its applications for multimedia
Hannes Fassold
31
1
0
08 Sep 2023
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics
Connor T. Holmes
Frederike Dumbgen
T. Barfoot
39
10
0
14 Aug 2023
Actor-Critic Model Predictive Control
Actor-Critic Model Predictive Control
Angel Romero
Yunlong Song
Davide Scaramuzza
25
35
0
16 Jun 2023
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
Decentralization and Acceleration Enables Large-Scale Bundle Adjustment
Taosha Fan
Joseph Ortiz
Ming Hsiao
Maurizio Monge
Jing Dong
Todd D. Murphey
Mustafa Mukadam
18
3
0
11 May 2023
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Taeyeop Lee
Jonathan Tremblay
Valts Blukis
Bowen Wen
Byeong-uk Lee
Inkyu Shin
Stan Birchfield
In So Kweon
Kuk-Jin Yoon
TTA
30
33
0
29 Mar 2023
Neural Grasp Distance Fields for Robot Manipulation
Neural Grasp Distance Fields for Robot Manipulation
Thomas Weng
David Held
Franziska Meier
Mustafa Mukadam
11
45
0
04 Nov 2022
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for
  Monocular Object Pose Estimation
EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Hansheng Chen
Pichao Wang
Fan Wang
Wei Tian
Lu Xiong
Hao Li
81
144
0
24 Mar 2022
Differentiable and Learnable Robot Models
Differentiable and Learnable Robot Models
Franziska Meier
Austin S. Wang
Giovanni Sutanto
Yixin Lin
Paarth Shah
PINN
AI4CE
22
7
0
22 Feb 2022
Majorization Minimization Methods for Distributed Pose Graph
  Optimization
Majorization Minimization Methods for Distributed Pose Graph Optimization
Taosha Fan
Todd D. Murphey
23
19
0
30 Jul 2021
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Vector Neurons: A General Framework for SO(3)-Equivariant Networks
Congyue Deng
Or Litany
Yueqi Duan
A. Poulenard
Andrea Tagliasacchi
Leonidas J. Guibas
3DPC
102
314
0
25 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,568
0
09 Mar 2017
The Fast Bilateral Solver
The Fast Bilateral Solver
Jonathan T. Barron
Ben Poole
164
371
0
10 Nov 2015
1