Omar Mahmood

According to our database, Omar Mahmood authored at least 7 papers between 2019 and 2024.

Collaborative distances:

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

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

Structure-based drug design by denoising voxel grids.

Pedro O. Pinheiro, Arian Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi

CoRR, 2024

Structure-based drug design by denoising voxel grids.

Pedro O. Pinheiro, Arian Rokkum Jamasb, Omar Mahmood, Vishnu Sresht, Saeed Saremi

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

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

2021

Optimal tuning of weighted kNN- and diffusion-based methods for denoising single cell genomics data.

Andreas Tjärnberg, Omar Mahmood, Christopher A. Jackson, Giuseppe-Antonio Saldi, Kyunghyun Cho, Lionel A. Christiaen, Richard A. Bonneau

PLoS Comput. Biol., 2021

2019

A COLD Approach to Generating Optimal Samples.

Omar Mahmood, José Miguel Hernández-Lobato

CoRR, 2019

Molecular geometry prediction using a deep generative graph neural network.

Elman Mansimov, Omar Mahmood, Seokho Kang, Kyunghyun Cho

CoRR, 2019