| Autoinverse: Uncertainty aware inversion of neural networks N Ansari, HP Seidel, N Vahidi Ferdowsi, V Babaei Advances in Neural Information Processing Systems 35, 8675-8686, 2022 | 15 | 2022 |
| Mixed integer ink selection for spectral reproduction N Ansari, O Alizadeh-Mousavi, HP Seidel, V Babaei ACM Transactions on Graphics (TOG) 39 (6), 1-16, 2020 | 14 | 2020 |
| Enhancing catalysis studies with chat generative pre-trained transformer (ChatGPT): Conversation with ChatGPT N Ansari, V Babaei, MM Najafpour Dalton Transactions 53 (8), 3534-3547, 2024 | 12 | 2024 |
| Mixed integer neural inverse design N Ansari, HP Seidel, V Babaei ACM Transactions on Graphics (TOG) 41 (4), 1-14, 2022 | 5 | 2022 |
| Autoinverse: Uncertainty aware inversion of neural networks, 2022 N Ansari, HP Seidel, NV Ferdowsi, V Babaei URL https://arxiv. org/abs/2208.13780, 0 | 5 | |
| A Proximal Operator for Inducing 2: 4-Sparsity JM Kübler, YX Wang, S Sabach, N Ansari, M Kleindessner, K Budhathoki, ... arXiv preprint arXiv:2501.18015, 2025 | 4 | 2025 |
| Large-batch, iteration-efficient neural bayesian design optimization N Ansari, A Javanmardi, E Hüllermeier, HP Seidel, V Babaei arXiv preprint arXiv:2306.01095, 2023 | 4 | 2023 |
| Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics KT Wijaya, N Ansari, HP Seidel, V Babaei Advanced Science, 2416356, 2025 | 3 | 2025 |
| Accelerated Gamut Discovery via Massive Parallelization N Ansari, HP Seidel, V Babaei Proceedings of the Special Interest Group on Computer Graphics and …, 2025 | | 2025 |
| Uncertainty separation via ensemble quantile regression N Ansari, HP Seidel, V Babaei arXiv preprint arXiv:2412.13738, 2024 | | 2024 |
| TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics K Tirta Wijaya, N Ansari, HP Seidel, V Babaei arXiv e-prints, arXiv: 2402.16930, 2024 | | 2024 |
| Large-Batch, Neural Multi-Objective Bayesian Optimization N Ansari, HP Seidel, V Babaei CoRR, 2023 | | 2023 |
Vahid BabaeiMax Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
