Fardina Fathmiul Alam

According to our database, Fardina Fathmiul Alam authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Equivariant Encoding based GVAE (EqEn-GVAE) for Protein Tertiary Structure Generation.

Taseef Rahman, Fardina Fathmiul Alam, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2022

2021

Unsupervised multi-instance learning for protein structure determination.

Fardina Fathmiul Alam, Amarda Shehu

J. Bioinform. Comput. Biol., 2021

Deep Latent-Variable Models for Controllable Molecule Generation.

Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Generating Physically-Realistic Tertiary Protein Structures with Deep Latent Variable Models Learning Over Experimentally-available Structures.

Fardina Fathmiul Alam, Amarda Shehu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

Towards more equitable question answering systems: How much more data do you need?

Arnab Debnath, Navid Rajabi, Fardina Fathmiul Alam, Antonios Anastasopoulos

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Variational Autoencoders for Protein Structure Prediction.

Fardina Fathmiul Alam, Amarda Shehu

Proceedings of the BCB '20: 11th ACM International Conference on Bioinformatics, 2020

2019

Learning Reduced Latent Representations of Protein Structure Data.

Fardina Fathmiul Alam, Taseef Rahman, Amarda Shehu

Proceedings of the 10th ACM International Conference on Bioinformatics, 2019