Andrew Lizarraga

According to our database, Andrew Lizarraga authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

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 AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 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 38: 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