Payam Barnaghi
3 papers · 2023–2025 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(11)
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Research topics
Artificial Intelligence
(2)
Deep Learning
(2)
Machine Learning
(2)
Architectures
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Data Science & Analytics
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Core AI
(1)
Core Methods
(1)
Learning Types
(1)
Methods
(1)
Models
(1)
Optimization & Theory
(1)
Keywords
bayesian inference
(2)
semi-supervised learning
(1)
markov chain monte carlo
(1)
hamiltonian monte carlo
(1)
generative adversarial network
(1)
skip connection
(1)
informative prior
(1)
frechet inception distance
(1)
z-score normalization
(1)
large language model
(1)
expert prior
(1)
stationary
(1)
labelled data
(1)
predictive modelling
(1)
intra-variate dependencies
(1)
point-wise transformers
(1)
unsupervised learning
(1)
self-dependent
(1)
Papers
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
ICML 2025
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
ICML 2025
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks
ACML 2023