Showing 1–20 of 20 results
/ Date/ Name
Sep 22, 2020Vertical Power Flow Forecast with LSTMs Using Regular Training Update StrategiesJul 8, 2014Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face ProximityJul 2, 2014On the Predictability of Talk Attendance at Academic ConferencesNov 26, 2021A Reinforcement Learning Approach for the Continuous Electricity Market of Germany: Trading from the Perspective of a Wind Park OperatorApr 17, 2025Can Masked Autoencoders Also Listen to Birds?Jul 3, 2024Predictions and Decision Making for Resilient Intelligent Sustainable Energy SystemsMar 15, 2024BirdSet: A Large-Scale Dataset for Audio Classification in Avian BioacousticsJun 26, 2024Towards Deep Active Learning in Avian BioacousticsJul 18, 2025Adversarial Training Improves Generalization Under Distribution Shifts in BioacousticsJul 5, 2024Graph Reinforcement Learning for Power Grids: A Comprehensive SurveyMar 29, 2023Targeted Adversarial Attacks on Wind Power ForecastsJun 24, 2024Fault Detection for agents on power grid topology optimization: A Comprehensive analysisFeb 18, 2026BAT: Better Audio Transformer Guided by Convex Gated ProbingAug 14, 2023Active Bird2Vec: Towards End-to-End Bird Sound Monitoring with TransformersMay 1, 2024HUGO -- Highlighting Unseen Grid Options: Combining Deep Reinforcement Learning with a Heuristic Target Topology ApproachApr 16, 2024AudioProtoPNet: An interpretable deep learning model for bird sound classificationMar 19, 2025Learning Topology Actions for Power Grid Control: A Graph-Based Soft-Label Imitation Learning ApproachApr 3, 2023Managing power grids through topology actions: A comparative study between advanced rule-based and reinforcement learning agentsSep 29, 2025Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio ClassificationFeb 23, 2026Meta-Learning and Meta-Reinforcement Learning -- Tracing the Path towards DeepMind's Adaptive Agent