Andrew Lizarraga

According to our database, Andrew Lizarraga authored at least 17 papers between 2021 and 2026.

Collaborative distances:

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

2026

Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction.

Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga, Jonathan Soriano, Bernie Boscoe, Tuan Do

CoRR, January, 2026

2025

Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology.

Morgan Himes, Samiksha Krishnamurthy, Andrew Lizarraga, Srinath Saikrishnan, Vikram Seenivasan, Jonathan Soriano, Ying Nian Wu, Tuan Do

CoRR, October, 2025

Efficient Modular Learning through Naive LoRA Summation: Leveraging Orthogonality in High-Dimensional Models.

Zhanhao Cao, Clement Truong, Andrew Lizarraga

CoRR, August, 2025

Latent Adaptive Planner for Dynamic Manipulation.

Donghun Noh, Deqian Kong, Minglu Zhao, Andrew Lizarraga, Jianwen Xie, Ying Nian Wu, Dennis W. Hong

CoRR, May, 2025

Better Prompt Compression Without Multi-Layer Perceptrons.

Edouardo Honig, Andrew Lizarraga, Zijun Frank Zhang, Ying Nian Wu

CoRR, January, 2025

Monitoring Primitive Interactions During the Training of DNNs.

Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Learning the Evolution of Physical Structure of Galaxies via Diffusion Models.

Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do

CoRR, 2024

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory.

Eric Hanchen Jiang, Yasi Zhang, Zhi Zhang, Yixin Wan, Andrew Lizarraga, Shufan Li, Ying Nian Wu

CoRR, 2024

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting.

Eric Hanchen Jiang, Zhi Zhang, Dinghuai Zhang, Andrew Lizarraga, Chenheng Xu, Yasi Zhang, Siyan Zhao, Zhengjie Xu, Peiyu Yu, Yuer Tang, Deqian Kong, Ying Nian Wu

CoRR, 2024

Latent Plan Transformer: Planning as Latent Variable Inference.

Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

CoRR, 2024

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference.

Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Differentiable VQ-VAE's for Robust White Matter Streamline Encodings.

Andrew Lizarraga, Brandon Taraku, Edouardo Honig, Ying Nian Wu, Shantanu H. Joshi

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning.

Eric Hanchen Jiang, Andrew Lizarraga

Proceedings of the Second Tiny Papers Track at ICLR 2024, 2024

2022

StreamNet: A WAE for White Matter Streamline Analysis.

Andrew Lizarraga, Katherine L. Narr, Kirsten A. Donald, Shantanu H. Joshi

Proceedings of the Geometric Deep Learning in Medical Image Analysis, 2022

2021

SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment.

Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi

CoRR, 2021

Alignment of Tractography Streamlines Using Deformation Transfer via Parallel Transport.

Andrew Lizarraga, David S. Lee, Antoni Kubicki, Ashish Sahib, Elvis Nunez, Katherine L. Narr, Shantanu H. Joshi

Proceedings of the Computational Diffusion MRI - 12th International Workshop, 2021

SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Functional Alignment.

Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021