Justin Cosentino

According to our database, Justin Cosentino authored at least 3 papers between 2019 and 2023.

Collaborative distances:

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

2023

Multimodal LLMs for Health Grounded in Individual-Specific Data.

Anastasiya Belyaeva, Justin Cosentino, Farhad Hormozdiari, Krish Eswaran, Shravya Shetty, Greg Corrado, Andrew Carroll, Cory Y. McLean, Nicholas A. Furlotte

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

2019

The Search for Sparse, Robust Neural Networks.

Justin Cosentino, Federico Zaiter, Dan Pei, Jun Zhu

CoRR, 2019

Generative Well-intentioned Networks.

Justin Cosentino, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019