1 citations · 1 across the 4 of their papers we have counts for
5 papers
Better Policies, Worse Verifier Audits
Daniel Cieślak, Jacek Łubiński
Verifier stacks increasingly sit inside post-training and test-time compute loops. We study a specific control loop: a component verifier is evaluated on fresh policy outputs again…
Input-schema identifiability limits in physics-informed surrogates for mechanics-governed flow
Daniel Cieslak, Andrzej Czyzewski
Physics-informed and data-driven surrogates are increasingly used to approximate mechanics-governed flow fields, but the target quantities assigned to such models are not always id…
Decision-Aware Evaluation of Physics-Informed Surrogates
Daniel Cieślak, Andrzej Czyżewski
Physics-informed machine learning is often assessed by curve error, although engineering use depends on downstream decisions: ranking candidates, avoiding infeasible designs and li…
Dual-Attention U-Net++ with Class-Specific Ensembles and Bayesian Hyperparameter Optimization for Precise Wound and Scale Marker Segmentation
Daniel Cieślak, Miriam Reca, Olena Onyshchenko +1
Accurate segmentation of wounds and scale markers in clinical images remainsa significant challenge, crucial for effective wound management and automatedassessment. In this study,…
Graph Vertex Embeddings: Distance, Regularization and Community Detection
Radosław Nowak, Adam Małkowski, Daniel Cieślak +2
Graph embeddings have emerged as a powerful tool for representing complex network structures in a low-dimensional space, enabling the use of efficient methods that employ the metri…