Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders. - Momchil Peychev; Petar Velickovic; Pietro Liò (CoRR, 2017)

PODS: Policy Optimization via Differentiable Simulation. - Miguel Zamora; Momchil Peychev; Sehoon Ha; Martin T. Vechev; Stelian Coros (ICML, 2021)

Latent Space Smoothing for Individually Fair Representations. - Momchil Peychev; Anian Ruoss; Mislav Balunovic; Maximilian Baader; Martin T. Vechev (ECCV (13), 2022)

Human-Guided Fair Classification for Natural Language Processing. - Florian E. Dorner; Momchil Peychev; Nikola Konstantinov; Naman Goel; Elliott Ash; Martin T. Vechev (ICLR, 2023)

Automated Classification of Model Errors on ImageNet. - Momchil Peychev; Mark Niklas Müller; Marc Fischer 002; Martin T. Vechev (NeurIPS, 2023)