Radu Grosu
13 papers · 2018–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver
🏆
Grand Slam
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(10)
Deep Learning
(9)
Artificial Intelligence
(6)
Architectures
(6)
Core Methods
(6)
Core AI
(5)
Optimization & Theory · Machine Learning
(4)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory · Deep Learning
(3)
Computer Vision
(2)
Mathematics & Optimization
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Applications
(2)
Keywords
convolutional neural network
(3)
reachability analysis
(2)
neural network
(2)
formal verification
(2)
reinforcement learning
(2)
recurrent neural network
(2)
neural ordinary differential equation
(2)
depthwise convolution
(2)
receptive field
(2)
unsupervised clustering
(1)
nonparametric model
(1)
global optimization
(1)
network inference
(1)
partially observable markov decision process
(1)
anomaly detection
(1)
time series prediction
(1)
u-net architecture
(1)
transfer learning
(1)
partially observable
(1)
fault diagnosis
(1)
Papers
Learning Robust Medical Image Segmentation with Inductive Bias
MIDL 2026
Real-Time Recurrent Reinforcement Learning
AAAI 2025
The Master Key Filters Hypothesis: Deep Filters Are General
AAAI 2025
Visual Graph Arena: Evaluating Visual Conceptualization of Vision and Multimodal Large Language Models
ICML 2025
Neural Echos: Depthwise Convolutional Filters Replicate Biological Receptive Fields
WACV 2024
Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
ICLR 2024
GoTube: Scalable Statistical Verification of Continuous-Depth Models
AAAI 2022
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
A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits
ICML 2020
A Machine Learning Suite for Machine Components’ Health-Monitoring
AAAI 2019
Dynamic Network Model from Partial Observations
NeurIPS 2018