Author

Šimon Sukup

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Preprint Aug 2026

Unified Pedestrian Path Prediction Using Inverse Reinforcement Learning

The proposed learning-task formulations improve prediction performance across the selected benchmark datasets compared with the standard supervised-learning formulation and demonstrate that reformulating the decision process and training objective can improve an advanced pedestrian trajectory prediction architecture.

Šimon Sukup, Ariyan Bighashdel, P. Jancura · 0 citations

Aug 2026

Augmenting Text to Increase Translation Difficulty

This work proposes augmenting existing benchmarks to increase translation difficulty by combining adversarial optimization with a differentiable translation difficulty estimator, and uses gradients from a combined difficulty and fluency objective to iteratively replace tokens in Adversarial Translation Optimization (AT...

William Kalikman, Šimon Sukup, Michal Tesnar et al. · European Association for Mac... · 2 citations