M. Ani Hsieh
9 papers · 2011–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (25) π£ Hot Topic Early Bird
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Topic Evolution
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Keyword Pioneer
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Keyword Champion
(2)
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Renaissance Researcher
(5)
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Trend Setter
Top co-authors
Research topics
Machine Learning
(6)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Reinforcement Learning
(3)
Robotics
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Applications
(2)
Architectures
(2)
Capabilities
(2)
Core Methods
(2)
Optimization
(2)
Computer Vision
(1)
Application Areas
(1)
Keywords
model predictive control
(3)
neural ordinary differential equation
(3)
koopman operator
(2)
flow field
(2)
uncertainty quantification
(1)
medical imaging
(1)
conformal prediction
(1)
image registration
(1)
transfer learning
(1)
stochastic control
(1)
constraint satisfaction
(1)
riemannian metric
(1)
energy optimization
(1)
nonlinear dynamics
(1)
macroscopic dynamics
(1)
medical image analysis
(1)
dynamical system
(1)
transfer operator
(1)
task distribution
(1)
path planning
(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
Learning-enhanced Nonlinear Model Predictive Control using Knowledge-based Neural Ordinary Differential Equations and Deep Ensembles
L4DC 2023
Online Estimation of the Koopman Operator Using Fourier Features
L4DC 2023
NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration
CVPR 2022
Online Dynamics Learning for Predictive Control with an Application to Aerial Robots
CoRL 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