Brandon Duderstadt

According to our database, Brandon Duderstadt authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

NOMAD Projection.

Brandon Duderstadt, Zach Nussbaum, Laurens van der Maaten

CoRR, May, 2025

Toward a digital twin of U.S. Congress.

Hayden S. Helm, Tianyi Chen, Harvey McGuinness, Paige Lee, Brandon Duderstadt, Carey E. Priebe

CoRR, May, 2025

Repurposing the scientific literature with vision-language models.

Anton Alyakin, Jaden Stryker, Daniel Alexander Alber, Karl L. Sangwon, Brandon Duderstadt, Akshay Save, David Kurland, Spencer Frome, Shrutika Singh, Jeff Zhang, Eunice Yang, Ki Yun Park, Cordelia Orillac, Aly A. Valliani, Sean Neifert, Albert Liu, Aneek Patel, Christopher Livia, Darryl Lau, Ilya Laufer, Peter A. Rozman, Eveline Teresa Hidalgo, Howard Riina, Rui Feng, Todd C. Hollon, Yindalon Aphinyanaphongs, John G. Golfinos, Laura Snyder, Eric Leuthardt, Douglas Kondziolka, Eric Karl Oermann

CoRR, February, 2025

Training Sparse Mixture Of Experts Text Embedding Models.

Zach Nussbaum, Brandon Duderstadt

CoRR, February, 2025

Nomic Embed: Training a Reproducible Long Context Text Embedder.

Zach Nussbaum, John Xavier Morris, Andriy Mulyar, Brandon Duderstadt

Trans. Mach. Learn. Res., 2025

CoRNStack: High-Quality Contrastive Data for Better Code Retrieval and Reranking.

Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Statistical inference on black-box generative models in the data kernel perspective space.

Hayden S. Helm, Aranyak Acharyya, Youngser Park, Brandon Duderstadt, Carey E. Priebe

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

CoRNStack: High-Quality Contrastive Data for Better Code Ranking.

Tarun Suresh, Revanth Gangi Reddy, Yifei Xu, Zach Nussbaum, Andriy Mulyar, Brandon Duderstadt, Heng Ji

CoRR, 2024

Embedding-based statistical inference on generative models.

Hayden S. Helm, Aranyak Acharyya, Brandon Duderstadt, Youngser Park, Carey E. Priebe

CoRR, 2024

Nomic Embed Vision: Expanding the Latent Space.

Zach Nussbaum, Brandon Duderstadt, Andriy Mulyar

CoRR, 2024

Tracking the perspectives of interacting language models.

Hayden S. Helm, Brandon Duderstadt, Youngser Park, Carey E. Priebe

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

GPT4All: An Ecosystem of Open Source Compressed Language Models.

Yuvanesh Anand, Zach Nussbaum, Adam Treat, Aaron Miller, Richard Guo, Ben Schmidt, GPT4All Community, Brandon Duderstadt, Andriy Mulyar

CoRR, 2023

Comparing Foundation Models using Data Kernels.

Brandon Duderstadt, Hayden S. Helm, Carey E. Priebe

CoRR, 2023

2020

A partition-based similarity for classification distributions.

Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe

CoRR, 2020