Michael Maser

According to our database, Michael Maser authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Do we need equivariant models for molecule generation?

Ewa M. Nowara, Joshua Rackers, Patricia Suriana, Pan Kessel, Max Shen, Andrew Martin Watkins, Michael Maser

CoRR, July, 2025

2024

NEBULA: Neural Empirical Bayes Under Latent Representations for Efficient and Controllable Design of Molecular Libraries.

Ewa M. Nowara, Pedro O. Pinheiro, Sai Pooja Mahajan, Omar Mahmood, Andrew Martin Watkins, Saeed Saremi, Michael Maser

CoRR, 2024

BOtied: Multi-objective Bayesian optimization with tied multivariate ranks.

Ji Won Park, Natasa Tagasovska, Michael Maser, Stephen Ra, Kyunghyun Cho

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

MoleCLUEs: Optimizing Molecular Conformers by Minimization of Differentiable Uncertainty.

Michael Maser, Natasa Tagasovska, Jae Hyeon Lee, Andrew M. Watkins

CoRR, 2023

SupSiam: Non-contrastive Auxiliary Loss for Learning from Molecular Conformers.

Michael Maser, Ji Won Park, Joshua Yao-Yu Lin, Jae Hyeon Lee, Nathan C. Frey, Andrew M. Watkins

CoRR, 2023

3D molecule generation by denoising voxel grids.

Pedro O. Pinheiro, Joshua Rackers, Joseph Kleinhenz, Michael Maser, Omar Mahmood, Andrew M. Watkins, Stephen Ra, Vishnu Sresht, Saeed Saremi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023