Amirhossein Taghvaei
9 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze
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Topic Evolution
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Unstoppable · Bronze
Venues
Top co-authors
Research topics
Keywords
probability distribution
(3)
optimal transport
(3)
gradient flow
(2)
generative model
(2)
input convex neural network
(2)
sample complexity
(1)
gradient descent
(1)
stochastic gradient descent
(1)
optimal control
(1)
markov chain monte carlo
(1)
matrix factorization
(1)
minimax optimization
(1)
stochastic control
(1)
relative entropy
(1)
stochastic optimal control
(1)
particle filter
(1)
flow matching
(1)
variational inference
(1)
weight decay regularization
(1)
reinforcement learning
(1)
Papers
Flow matching for stochastic linear control systems
L4DC 2025
Interacting Particle Systems for Fast Linear Quadratic RL
L4DC 2025
Nonlinear Filtering with Brenier Optimal Transport Maps
ICML 2024
Data-driven Optimal Filtering for Linear Systems with Unknown Noise Covariances
NeurIPS 2023
Variational Wasserstein gradient flow
ICML 2022
Scalable Computations of Wasserstein Barycenter via Input Convex Neural Networks
ICML 2021
Optimal transport mapping via input convex neural networks
ICML 2020
Accelerated Flow for Probability Distributions
ICML 2019
How regularization affects the critical points in linear networks
NeurIPS 2017