Danilo Mandic
7 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Bronze π Academic Marathon Β· Sprint πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Conference Polyglot Β· Bronze
π§¬
Topic Evolution
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Conference Pioneer
Top co-authors
Research topics
Deep Learning
(5)
Machine Learning
(5)
Core Methods
(4)
Architectures
(3)
Data Science & Analytics
(2)
Mathematics & Optimization
(2)
Learning Types
(2)
Methods
(2)
Models
(2)
Optimization
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
large language model
(2)
probabilistic modeling
(1)
nuclear norm
(1)
optimal transport
(1)
tensor decomposition
(1)
graph-based clustering
(1)
quantile regression
(1)
time series forecasting
(1)
singular value decomposition
(1)
manifold optimization
(1)
rank minimization
(1)
nuclear norm regularization
(1)
tensor completion
(1)
hierarchical structure
(1)
open-set classification
(1)
mixture model estimation
(1)
mixture model
(1)
alternating direction method of multiplier
(1)
parameter-efficient fine-tuning
(1)
conformal prediction
(1)
Papers
Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models
AAAI 2026
TeRA: Vector-based Random Tensor Network for High-Rank Adaptation of Large Language Models
ACL 2026
Relational Conformal Prediction for Correlated Time Series
ICML 2025
Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting
ICML 2024
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
ICML 2023
Solving General Elliptical Mixture Models through an Approximate Wasserstein Manifold
AAAI 2020
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion
AAAI 2019