Alexander Amini
14 papers · 2020–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
π€
Dynamic Duo
(13)
π§¬
Topic Evolution
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
ποΈ
Keyword Collector
(70)
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(9)
Deep Learning
(8)
Artificial Intelligence
(7)
Optimization & Theory Β· Machine Learning
(6)
Core AI
(5)
Core Methods
(4)
Optimization & Theory Β· Deep Learning
(4)
Application Areas
(3)
Architectures
(3)
Models
(3)
Computer Vision
(2)
Reinforcement Learning
(2)
Applications
(2)
Learning Paradigms
(2)
Learning Types
(2)
Keywords
neural tangent kernel
(3)
dataset distillation
(3)
continuous-time neural network
(2)
neural ordinary differential equation
(2)
neural network
(2)
adversarial robustness
(1)
feature learning
(1)
sequence modeling
(1)
uncertainty quantification
(1)
pose estimation
(1)
epistemic uncertainty
(1)
neural architecture search
(1)
adversarial training
(1)
gaussian splatting
(1)
reinforcement learning
(1)
model pruning
(1)
time series prediction
(1)
sim-to-real transfer
(1)
kernel ridge regression
(1)
kernel learning
(1)
Papers
STAR: Synthesis of Tailored Architectures
ICLR 2025
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks
CoRL 2024
Large Scale Dataset Distillation with Domain Shift
ICML 2024
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
ICLR 2024
Learning Stability Attention in Vision-based End-to-end Driving Policies
L4DC 2023
Liquid Structural State-Space Models
ICLR 2023
Efficient Dataset Distillation using Random Feature Approximation
NeurIPS 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
NeurIPS 2022
Causal Navigation by Continuous-time Neural Networks
NeurIPS 2021
Liquid Time-constant Networks
AAAI 2021
Sparse Flows: Pruning Continuous-depth Models
NeurIPS 2021
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
ICML 2020
Deep Evidential Regression
NeurIPS 2020
Deep Orientation Uncertainty Learning based on a Bingham Loss
ICLR 2020