Aristeidis Sotiras
10 papers · 2024–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (16) π€ Dynamic Duo (10) π Renaissance Researcher (5)
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Prolific Year Β· Productive
β
The Questioner
π
Century Club Β· Bronze
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(7)
Core Methods
(4)
Learning Types
(4)
Deep Learning
(3)
Data Science & Analytics
(2)
Application Areas
(2)
Architectures
(2)
Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Healthcare & Medicine
(1)
Mathematics & Optimization
(1)
Clinical
(1)
Core AI
(1)
Keywords
multiple instance learning
(3)
optimal transport
(2)
transformer architecture
(1)
representation learning
(1)
self-attention mechanism
(1)
feature distribution
(1)
attention mechanism
(1)
multimodal learning
(1)
sequence representation
(1)
feature embedding
(1)
prompt learning
(1)
time series classification
(1)
time series forecasting
(1)
generalization
(1)
variational autoencoder
(1)
vision-language model
(1)
zero-shot generalization
(1)
knowledge preservation
(1)
domain shift
(1)
whole slide image
(1)
Papers
Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation
WACV 2026
Active Source-Free Cross-Domain and Cross-Modality Adaptation for Volumetric Medical Image Segmentation by Image Sensitivity and Organ Heterogeneity Sampling
MICCAI 2025
Cracking Instance Jigsaw Puzzles: An Alternative to Multiple Instance Learning for Whole Slide Image Analysis
ICCV 2025
FIC-TSC: Learning Time Series Classification with Fisher Information Constraint
ICML 2025
How Effective Can Dropout Be in Multiple Instance Learning ?
ICML 2025
Multimodal Variational Autoencoder: A Barycentric View
AAAI 2025
Sequence Complementor: Complementing Transformers for Time Series Forecasting with Learnable Sequences
AAAI 2025
DGR-MIL: Exploring Diverse Global Representation in Multiple Instance Learning for Whole Slide Image Classification
ECCV 2024
SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
MICCAI 2024
TimeMIL: Advancing Multivariate Time Series Classification via a Time-aware Multiple Instance Learning
ICML 2024