Greg Heinrich

According to our database, Greg Heinrich authored at least 16 papers between 2019 and 2025.

Collaborative distances:

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

2025

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation.

Peter Belcak, Greg Heinrich, Jan Kautz, Pavlo Molchanov

CoRR, June, 2025

Small Language Models are the Future of Agentic AI.

Peter Belcak, Greg Heinrich, Shizhe Diao, Yonggan Fu, Xin Dong, Saurav Muralidharan, Yingyan Celine Lin, Pavlo Molchanov

CoRR, June, 2025

FeatSharp: Your Vision Model Features, Sharper.

Mike Ranzinger, Greg Heinrich, Pavlo Molchanov, Jan Kautz, Bryan Catanzaro, Andrew Tao

CoRR, February, 2025

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge.

Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Stephanie A. Harmon, Benjamin Simon, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models.

Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

RADIO Amplified: Improved Baselines for Agglomerative Vision Foundation Models.

Greg Heinrich, Mike Ranzinger, Hongxu Yin, Yao Lu, Jan Kautz, Andrew Tao, Bryan Catanzaro, Pavlo Molchanov

CoRR, 2024

VILA-M3: Enhancing Vision-Language Models with Medical Expert Knowledge.

Vishwesh Nath, Wenqi Li, Dong Yang, Andriy Myronenko, Mingxin Zheng, Yao Lu, Zhijian Liu, Hongxu Yin, Yee Man Law, Yucheng Tang, Pengfei Guo, Can Zhao, Ziyue Xu, Yufan He, Greg Heinrich, Stephen R. Aylward, Marc Edgar, Michael Zephyr, Pavlo Molchanov, Baris Turkbey, Holger Roth, Daguang Xu

CoRR, 2024

PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation.

Mike Ranzinger, Jon Barker, Greg Heinrich, Pavlo Molchanov, Bryan Catanzaro, Andrew Tao

CoRR, 2024

A deeper look at depth pruning of LLMs.

Shoaib Ahmed Siddiqui, Xin Dong, Greg Heinrich, Thomas M. Breuel, Jan Kautz, David Krueger, Pavlo Molchanov

CoRR, 2024

MaskLLM: Learnable Semi-Structured Sparsity for Large Language Models.

Gongfan Fang, Hongxu Yin, Saurav Muralidharan, Greg Heinrich, Jeff Pool, Jan Kautz, Pavlo Molchanov, Xinchao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Flextron: Many-in-One Flexible Large Language Model.

Ruisi Cai, Saurav Muralidharan, Greg Heinrich, Hongxu Yin, Zhangyang Wang, Jan Kautz, Pavlo Molchanov

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

FasterViT: Fast Vision Transformers with Hierarchical Attention.

Ali Hatamizadeh, Greg Heinrich, Hongxu Yin, Andrew Tao, José M. Álvarez, Jan Kautz, Pavlo Molchanov

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AM-RADIO: Agglomerative Vision Foundation Model Reduce All Domains Into One.

Mike Ranzinger, Greg Heinrich, Jan Kautz, Pavlo Molchanov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AM-RADIO: Agglomerative Model - Reduce All Domains Into One.

Mike Ranzinger, Greg Heinrich, Jan Kautz, Pavlo Molchanov

CoRR, 2023

Global Context Vision Transformers.

Ali Hatamizadeh, Hongxu Yin, Greg Heinrich, Jan Kautz, Pavlo Molchanov

Proceedings of the International Conference on Machine Learning, 2023

2019

Metaoptimization on a Distributed System for Deep Reinforcement Learning.

Greg Heinrich, Iuri Frosio

Proceedings of the 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2019