| PODS: Policy Optimization via Differentiable Simulation MAZ Mora, MP Peychev, S Ha, M Vechev, S Coros International Conference on Machine Learning, 7805-7817, 2021 | 36 | 2021 |
| Latent space smoothing for individually fair representations M Peychev, A Ruoss, M Balunović, M Baader, M Vechev European Conference on Computer Vision, 535-554, 2022 | 16 | 2022 |
| Human-Guided Fair Classification for Natural Language Processing FE Dorner, M Peychev, N Konstantinov, N Goel, E Ash, M Vechev International Conference on Learning Representations, 2023 | 5 | 2023 |
| Automated Classification of Model Errors on ImageNet M Peychev, MN Müller, M Fischer, M Vechev Neural Information Processing Systems, 2023 | 3 | 2023 |
| Quantifying the Effects of Enforcing Disentanglement on Variational Autoencoders M Peychev, P Veličković, P Liò Workshop on Learning Disentangled Representations, NeurIPS 2017, 2017 | 1 | 2017 |
| Generating Intuitive Fairness Specifications for Natural Language Processing FE Dorner, M Peychev, N Konstantinov, N Goel, E Ash, M Vechev Workshop on Trustworthy and Socially Responsible Machine Learning, NeurIPS 2022, 2022 | | 2022 |
