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Olga Fink — most-cited papers & profile · Multimodal
← authors
·
overview
Olga Fink
17
papers ·
145
citations ·
0
h-index
International Institute for Management Development · École Polytechnique Fédérale de Lausanne · Sapienza University of Rome
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Most-cited papers
Controlled physics-informed data generation for deep learning-based remaining useful life prediction under unseen operation conditions
2023 · 92 citations
Multi-agent Actor-Critic with Time Dynamical Opponent Model
2022 · 14 citations
Real-Time Model Calibration with Deep Reinforcement Learning
2020 · 12 citations
Learning Physics-Consistent Particle Interactions
2022 · 11 citations
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation
2021 · 6 citations
Safe multi-agent deep reinforcement learning for joint bidding and maintenance scheduling of generation units
2021 · 6 citations
Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
2025 · 2 citations
Integrating the Expected Future in Load Forecasts with Contextually Enhanced Transformer Models
2024 · 1 citations
Federated Learning with Uncertainty-Based Client Clustering for Fleet-Wide Fault Diagnosis
2023 · 1 citations
A Prescriptive Dirichlet Power Allocation Policy with Deep Reinforcement Learning
2022
Multi-Agent Reinforcement Learning with Graph Convolutional Neural Networks for optimal Bidding Strategies of Generation Units in Electricity Markets
2022
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
2024
Domain Adaptive Unfolded Graph Neural Networks
2024
Topics
Multi-Agent
Policy Gradient
GNN Architectures
Model-Based RL
Physics ML
Game AI
Transformer Forecasters
Domain — Energy/Weather
Temporal & Dynamic
Segmentation