SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Functional Alignment. - Elvis Nunez; Andrew Lizarraga; Shantanu H. Joshi (CVPR Workshops, 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 (CDMRI@MICCAI, 2021)

SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment. - Elvis Nunez; Andrew Lizarraga; Shantanu H. Joshi (CoRR, 2021)

StreamNet: A WAE for White Matter Streamline Analysis. - Andrew Lizarraga; Katherine L. Narr; Kirsten A. Donald; Shantanu H. Joshi (GeoMedIA, 2022)

SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning. - Eric Hanchen Jiang; Andrew Lizarraga (Tiny Papers @ ICLR, 2024)

Differentiable VQ-VAE's for Robust White Matter Streamline Encodings. - Andrew Lizarraga; Brandon Taraku; Edouardo Honig; Ying Nian Wu; Shantanu H. Joshi (ISBI, 2024)

Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (NeurIPS, 2024)

Latent Plan Transformer: Planning as Latent Variable Inference. - Deqian Kong; Dehong Xu; Minglu Zhao; Bo Pang 004; Jianwen Xie; Andrew Lizarraga; Yuhao Huang; Sirui Xie; Ying Nian Wu (CoRR, 2024)

DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting. - Eric Hanchen Jiang; Zhi Zhang 012; Dinghuai Zhang; Andrew Lizarraga; Chenheng Xu; Yasi Zhang; Siyan Zhao; Zhengjie Xu; Peiyu Yu; Yuer Tang; Deqian Kong; Ying Nian Wu (CoRR, 2024)

Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory. - Eric Hanchen Jiang; Yasi Zhang; Zhi Zhang 012; Yixin Wan; Andrew Lizarraga; Shufan Li; Ying Nian Wu (CoRR, 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)

Monitoring Primitive Interactions During the Training of DNNs. - Jie Ren 018; Xinhao Zheng; Jiyu Liu; Andrew Lizarraga; Ying Nian Wu; Liang Lin; Quanshi Zhang (AAAI, 2025)

Better Prompt Compression Without Multi-Layer Perceptrons. - Edouardo Honig; Andrew Lizarraga; Zijun Frank Zhang; Ying Nian Wu (CoRR, 2025)

Latent Adaptive Planner for Dynamic Manipulation. - Donghun Noh; Deqian Kong; Minglu Zhao; Andrew Lizarraga; Jianwen Xie; Ying Nian Wu; Dennis W. Hong (CoRR, 2025)