Paul Bogdan
12 papers · 2021–2026 · 5 venues · across top CS/AI venues
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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(68)
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Century Club Β· Bronze
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(8)
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Research topics
Machine Learning
(9)
Deep Learning
(7)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Core Methods
(5)
Core AI
(4)
Reinforcement Learning
(3)
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Learning Types Β· Machine Learning
(3)
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Mathematics & Optimization
(2)
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(2)
Mathematics
(2)
Computer Science
(1)
Keywords
representation learning
(3)
partial differential equation
(3)
neural operator
(2)
large language model
(2)
information bottleneck
(1)
policy gradient
(1)
reinforcement learning
(1)
multimodal learning
(1)
sentiment analysis
(1)
sample complexity
(1)
image reconstruction
(1)
topological data analysis
(1)
neural network optimization
(1)
function space
(1)
system identification
(1)
uncertainty quantification
(1)
optimal control
(1)
fmri decoding
(1)
hierarchical model
(1)
network analysis
(1)
Papers
ERMoE: Eigen-Reparameterized Mixture-of-Experts for Stable Routing and Interpretable Specialization
CVPR 2026
Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
ACL 2026
End-to-End Learning Framework for Solving Non-Markovian Optimal Control
ICML 2025
Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models
ICLR 2025
A Structure-Aware Framework for Learning Device Placements on Computation Graphs
NeurIPS 2024
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning
ICLR 2024
Coupled Multiwavelet Operator Learning for Coupled Differential Equations
ICLR 2023
Generative Decoding of Visual Stimuli
ICML 2023
Non-Linear Operator Approximations for Initial Value Problems
ICLR 2022
Pareto Policy Adaptation
ICLR 2022
Learning Hyperbolic Representations of Topological Features
ICLR 2021
Multiwavelet-based Operator Learning for Differential Equations
NeurIPS 2021