Emanuel Aldea
6 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Artificial Intelligence
(4)
Deep Learning
(4)
Machine Learning
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Learning Types · Machine Learning
(2)
Computer Vision
(1)
Analysis
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
uncertainty quantification
(2)
out-of-distribution detection
(2)
epistemic uncertainty
(1)
attention mechanism
(1)
trajectory prediction
(1)
posterior sampling
(1)
symmetry
(1)
collision avoidance
(1)
bayesian neural network
(1)
aleatoric uncertainty
(1)
autonomous system
(1)
high-dimensional geometry
(1)
bayesian approximation
(1)
goal-conditioned learning
(1)
goal-conditioned prediction
(1)
multi-agent system
(1)
stochastic embedding
(1)
multi-agent trajectory prediction
(1)
social attention
(1)
social interaction modeling
(1)
Papers
VISTA: A Vision and Intent-Aware Social Attention Framework for Multi-Agent Trajectory Prediction
WACV 2026
Stochastic Embeddings : A Probabilistic and Geometric Analysis of Out-of-Distribution Behavior
UAI 2025
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
ICLR 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression
AAAI 2024
Latent Discriminant Deterministic Uncertainty
ECCV 2022
TRADI: Tracking Deep Neural network Weight Distributions
ECCV 2020