M. Ani Hsieh
9 papers · 2011–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Cross-Pollinator (6) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer
π
Conference Polyglot
(4)
π
Academic Marathon
(14)
π
Keyword Champion
π§¬
Topic Evolution
π
Trend Setter
Conferences
L4DC (3)
RSS (3)
CORL (2)
CVPR (1)
Top co-authors
Keywords
neural ordinary differential equation
(3)
model predictive control
(3)
path planning
(1)
uncertainty quantification
(1)
medical imaging
(1)
nonlinear dynamics
(1)
image registration
(1)
medical image analysis
(1)
stochastic control
(1)
constraint satisfaction
(1)
riemannian metric
(1)
energy optimization
(1)
transfer learning
(1)
dynamical system
(1)
conformal prediction
(1)
macroscopic dynamics
(1)
transfer operator
(1)
task distribution
(1)
optimization framework
(1)
online learning
(1)
Papers
KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning
CORL 2025
Uncertainty quantification and robustification of model-based controllers using conformal prediction
L4DC 2024
Online Estimation of the Koopman Operator Using Fourier Features
L4DC 2023
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles
L4DC 2023
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
CORL 2022
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration
CVPR 2022
Exploiting Stochasticity for the Control of Transitions in Gyre Flows
RSS 2018
Time and Energy Optimal Path Planning in General Flows
RSS 2016
Distributed Robot Ensemble Control for Deployment to Multiple Sites
RSS 2011