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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"

23 / 23 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
24
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
36
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
33
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
31
4
0
08 Feb 2024
Energy-based Potential Games for Joint Motion Forecasting and Control
Energy-based Potential Games for Joint Motion Forecasting and Control
Christopher P. Diehl
Tobias Klosek
Martin Krüger
Nils Murzyn
Timo Osterburg
Torsten Bertram
AI4CE
29
6
0
04 Dec 2023
TorchDEQ: A Library for Deep Equilibrium Models
TorchDEQ: A Library for Deep Equilibrium Models
Zhengyang Geng
J. Zico Kolter
VLM
56
12
0
28 Oct 2023
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
48
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
39
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
51
10
0
14 Aug 2023
Actor-Critic Model Predictive Control
Actor-Critic Model Predictive Control
Angel Romero
Yunlong Song
Davide Scaramuzza
44
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
23
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
50
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
13
45
0
04 Nov 2022
MidasTouch: Monte-Carlo inference over distributions across sliding
  touch
MidasTouch: Monte-Carlo inference over distributions across sliding touch
Sudharshan Suresh
Zilin Si
Stuart Anderson
Michael Kaess
Mustafa Mukadam
21
45
0
25 Oct 2022
Weighted Maximum Likelihood for Controller Tuning
Weighted Maximum Likelihood for Controller Tuning
Angel Romero
Shreedhar Govil
Gonca Yilmaz
Yunlong Song
Davide Scaramuzza
41
14
0
20 Oct 2022
Differentiable Integrated Motion Prediction and Planning with Learnable
  Cost Function for Autonomous Driving
Differentiable Integrated Motion Prediction and Planning with Learnable Cost Function for Autonomous Driving
Zhiyu Huang
Haochen Liu
Jingda Wu
Chen Lv
37
92
0
21 Jul 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
93
146
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
41
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
34
18
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
111
316
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
341
11,684
0
09 Mar 2017
The Fast Bilateral Solver
The Fast Bilateral Solver
Jonathan T. Barron
Ben Poole
171
371
0
10 Nov 2015
1