Daniel Berenberg

According to our database, Daniel Berenberg authored at least 6 papers between 2018 and 2024.

Collaborative distances:

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

2024

Protein Discovery with Discrete Walk-Jump Sampling.

Nathan C. Frey, Daniel Berenberg, Karina Zadorozhny, Joseph Kleinhenz, Julien Lafrance-Vanasse, Isidro Hötzel, Yan Wu, Stephen Ra, Richard Bonneau, Kyunghyun Cho, Andreas Loukas, Vladimir Gligorijevic, Saeed Saremi

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

OpenProteinSet: Training data for structural biology at scale.

Gustaf Ahdritz, Nazim Bouatta, Sachin Kadyan, Lukas Jarosch, Daniel Berenberg, Ian Fisk, Andrew M. Watkins, Stephen Ra, Richard Bonneau, Mohammed AlQuraishi

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

2022

Multi-segment preserving sampling for deep manifold sampler.

Daniel Berenberg, Jae Hyeon Lee, Simon Kelow, Ji Won Park, Andrew M. Watkins, Vladimir Gligorijevic, Richard Bonneau, Stephen Ra, Kyunghyun Cho

CoRR, 2022

2018

Efficient Crowd Exploration of Large Networks: The Case of Causal Attribution.

Daniel Berenberg, James P. Bagrow

Proc. ACM Hum. Comput. Interact., 2018

Inferring the size of the causal universe: features and fusion of causal attribution networks.

Daniel Berenberg, James P. Bagrow

CoRR, 2018

Neural language representations predict outcomes of scientific research.

James P. Bagrow, Daniel Berenberg, Joshua Clifford Bongard

CoRR, 2018