Ramin Hasani
23 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (49) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Triple Crown
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Keyword Champion
(4)
π€
Dynamic Duo
(20)
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(6)
ποΈ
Keyword Collector
(121)
Top co-authors
Research topics
Machine Learning
(17)
Deep Learning
(15)
Artificial Intelligence
(12)
Core AI
(11)
Optimization & Theory Β· Machine Learning
(10)
Application Areas
(9)
Architectures
(7)
Optimization & Theory Β· Deep Learning
(7)
Models
(5)
Core Methods
(4)
Reinforcement Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Applications
(2)
Learning Paradigms
(2)
Keywords
dataset distillation
(5)
neural tangent kernel
(4)
neural ordinary differential equation
(4)
model compression
(2)
state space model
(2)
neural network
(2)
recurrent neural network
(2)
formal verification
(2)
control barrier function
(2)
reachability analysis
(2)
kernel ridge regression
(2)
continuous-time neural network
(2)
convex optimization
(1)
anomaly detection
(1)
image classification
(1)
sim-to-real transfer
(1)
imitation learning
(1)
sequence modeling
(1)
causal inference
(1)
adversarial robustness
(1)
Papers
SafeDiffuser: Safe Planning with Diffusion Probabilistic Models
ICLR 2025
Gaussian Splatting to Real World Flight Navigation Transfer with Liquid Networks
CoRL 2024
Large Scale Dataset Distillation with Domain Shift
ICML 2024
Leveraging Low-Rank and Sparse Recurrent Connectivity for Robust Closed-Loop Control
ICLR 2024
State-Free Inference of State-Space Models: The *Transfer Function* Approach
ICML 2024
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation
ICLR 2024
Dataset Distillation with Convexified Implicit Gradients
ICML 2023
Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning
NeurIPS 2023
Learning Stability Attention in Vision-based End-to-end Driving Policies
L4DC 2023
Liquid Structural State-Space Models
ICLR 2023
Measuring Interpretability of Neural Policies of Robots with Disentangled Representation
CoRL 2023
On the Forward Invariance of Neural ODEs
ICML 2023
On the Size and Approximation Error of Distilled Datasets
NeurIPS 2023
Efficient Dataset Distillation using Random Feature Approximation
NeurIPS 2022
Evolution of Neural Tangent Kernels under Benign and Adversarial Training
NeurIPS 2022
GoTube: Scalable Statistical Verification of Continuous-Depth Models
AAAI 2022
Causal Navigation by Continuous-time Neural Networks
NeurIPS 2021
Liquid Time-constant Networks
AAAI 2021
On-Off Center-Surround Receptive Fields for Accurate and Robust Image Classification
ICML 2021
On the Verification of Neural ODEs with Stochastic Guarantees
AAAI 2021
Sparse Flows: Pruning Continuous-depth Models
NeurIPS 2021
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
ICML 2020
A Machine Learning Suite for Machine Componentsβ Health-Monitoring
AAAI 2019