Amirhossein Taghvaei
9 papers · 2017–2025 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (8) π Cross-Pollinator (14)
πΊοΈ
Taxonomy Completionist
(13)
π
Interdisciplinary Bridge
π
Keyword Champion
(2)
π§¬
Topic Evolution
π₯
Unstoppable
(7)
Conferences
ICML (5)
L4DC (2)
NIPS (2)
Top co-authors
Keywords
probability distribution
(3)
optimal transport
(3)
input convex neural network
(2)
generative model
(2)
gradient flow
(2)
optimal control
(1)
gradient descent
(1)
relative entropy
(1)
weight decay regularization
(1)
linear system
(1)
empirical distribution
(1)
linear neural network
(1)
wasserstein barycenter
(1)
critical point
(1)
functional optimization
(1)
convex function
(1)
hamiltonian dynamics
(1)
noise covariance
(1)
bifurcation theory
(1)
mean-field optimal control
(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
NIPS 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
NIPS 2017