Tales Imbiriba
4 papers · 2024–2026 · 3 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
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(16)
Top co-authors
Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Core AI
(3)
Deep Learning
(2)
Core Methods
(2)
Optimization & Theory
(2)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Clinical
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Mathematics
(1)
Models
(1)
Optimization
(1)
Keywords
image classification
(1)
neural network optimization
(1)
brain-computer interface
(1)
system identification
(1)
partially observable markov decision process
(1)
state estimation
(1)
state space model
(1)
alternating direction method of multiplier
(1)
physics-informed neural network
(1)
partial differential equation
(1)
neural ordinary differential equation
(1)
medical diagnosis
(1)
ordinary differential equation
(1)
neural operator
(1)
data assimilation
(1)
spatiotemporal dynamics
(1)
recursive learning
(1)
model explainability
(1)
dynamics learning
(1)
fundus imaging
(1)
Papers
SSplain: Sparse and Smooth Explainer for Retinopathy of Prematurity Classification
WACV 2026
Learning Physics Informed Neural ODEs with Partial Measurements
AAAI 2025
MarkovType: A Markov Decision Process Strategy for Non-Invasive Brain-Computer Interfaces Typing Systems
AAAI 2025
Learning semilinear neural operators: A unified recursive framework for prediction and data assimilation.
ICLR 2024