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Navid Ansari
Navid Ansari
Doctoral student, Max Planck Institutes for informatics
Zweryfikowany adres z mpi-inf.mpg.de - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
122020
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
82022
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
52024
Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization
N Ansari, A Javanmardi, E Hüllermeier, HP Seidel, V Babaei
arXiv preprint arXiv:2306.01095, 2023
32023
Mixed integer neural inverse design
N Ansari, HP Seidel, V Babaei
ACM Transactions on Graphics (TOG) 41 (4), 1-14, 2022
32022
TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics
KT Wijaya, N Ansari, HP Seidel, V Babaei
arXiv preprint arXiv:2402.16930, 2024
12024
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
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
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