Jonathan M. Bloom

According to our database, Jonathan M. Bloom authored at least 4 papers between 2019 and 2021.

Collaborative distances:

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

2021

A sandbox for prediction and integration of DNA, RNA, and proteins in single cells.

Malte Lücken, Daniel Burkhardt, Robrecht Cannoodt, Christopher Lance, Aditi Agrawal, Hananeh Aliee, Ann Chen, Louise Deconinck, Angela Detweiler, Alejandro Granados, Shelly Huynh, Laura Isacco, Yang Kim, Dominik Klein, Bony de Kumar, Sunil Kuppasani, Heiko Lickert, Aaron McGeever, Joaquin Melgarejo, Honey Mekonen, Maurizio Morri, Michaela Müller, Norma Neff, Sheryl Paul, Bastian Rieck, Kaylie Schneider, Scott Steelman, Michael Sterr, Daniel Treacy, Alexander Tong, Alexandra-Chloé Villani, Guilin Wang, Jia Yan, Ce Zhang, Angela Pisco, Smita Krishnaswamy, Fabian J. Theis, Jonathan M. Bloom

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

Two Routes to Scalable Credit Assignment without Weight Symmetry.

Daniel Kunin, Aran Nayebi, Javier Sagastuy-Breña, Surya Ganguli, Jonathan M. Bloom, Daniel Yamins

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Secure multi-party linear regression at plaintext speed.

Jonathan M. Bloom

CoRR, 2019

Loss Landscapes of Regularized Linear Autoencoders.

Daniel Kunin, Jonathan M. Bloom, Aleksandrina Goeva, Cotton Seed

Proceedings of the 36th International Conference on Machine Learning, 2019