• Deep Learning
• Generative Models
• Optimization
• Uncertainty Quantification
• Computational Manufacturing

Machine Learning Researcher with over five years of experience in deep learning, generative models, and optimization across academia and industry. My Ph.D. research at MPI-INF focused on mixed-integer and Bayesian optimization methods, as well as uncertainty quantification in deep neural networks. My work has been published in top-tier venues, including NeurIPS (Spotlight) and SIGGRAPH. Beyond academia, I have collaborated on industrial projects, including an internship at Amazon AWS focusing on Large Language Model (LLM) sparsification.

• A Proximal Operator for Inducing 2:4-Sparsity in LLMs, J. M. Kübler, Y. Wang, S. Sabach, N. Ansari, M. Kleindessner, K. Budhathoki, V. Cevher, G. Karypis. (Under review) [ArXiv]
• Large-Batch, Iteration-Efficient Neural Bayesian Design Optimization, N. Ansari, A. Javanmardi, E. Hüllermeier, H. P. Seidel, V. Babaei. (Under review) [ArXiv]
• TrustMol: Trustworthy Inverse Molecular Design via Alignment with Molecular Dynamics, K. Wijaya, N. Ansari, H.P. Seidel, V. Babaei. (Under review) [ArXiv]
• Uncertainty Separation via Ensemble Quantile Regression, N. Ansari, H. P. Seidel, V. Babaei. AAAI 2025. [ArXiv]
• Enhancing Catalysis Studies with ChatGPT: Conversation with ChatGPT, N. Ansari, V. Babaei, M.M. Najafpour. Royal Society of Chemistry 2024. [Paper]
• Autoinverse: Uncertainty Aware Inversion of Neural Networks, N. Ansari, H. P. Seidel, N. V. Ferdowsi, V. Babaei. NeurIPS Spotlight 2022. [Paper]
• Mixed Integer Neural Inverse Design, N. Ansari, H. P. Seidel, V. Babaei. ACM Transactions on Graphics (SIGGRAPH 2022). [Paper]
• Mixed Integer Ink Selection for Spectral Reproduction, N. Ansari, O. A. Mousavi, H. P. Seidel, V. Babaei. ACM Transactions on Graphics (SIGGRAPH Asia 2020). [Paper]

• Doctoral Researcher, Artificial Intelligence Aided Design and Manufacturing, MPI-INF
• Applied Scientist Intern, Amazon AWS (LLM Sparsification, 2023-2024)
• Intern, Max Planck Institute for Brain Research (Behavioral Neuroscience, 2019-2020)
• Research Assistant, Systems Neuroscience & Neurotechnology Unit (2018-2019)

• Ph.D. in Computer Science, Max Planck Institute for Informatics, Saarland University (2021 - Present)
• M.Sc. in Visual Computing, Saarland University (2018 - 2021)
• B.Sc. in Electrical Engineering, Shiraz University (2013 - 2017)