Andrew Lizarraga

21 papers A* 2Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Combining datasets with different ground truths using Low-Rank Adaptation to generalize image-based CNN models for photometric redshift prediction. CoRR Vikram Seenivasan, Srinath Saikrishnan, Andrew Lizarraga, Jonathan Soriano, Bernie Boscoe, Tuan Do
2025	J	`jnl`	Better Prompt Compression Without Multi-Layer Perceptrons. CoRR Edouardo Honig, Andrew Lizarraga, Zijun Frank Zhang, Ying Nian Wu
2025	J	`jnl`	Efficient Modular Learning through Naive LoRA Summation: Leveraging Orthogonality in High-Dimensional Models. CoRR Zhanhao Cao, Clement Truong, Andrew Lizarraga
2025	J	`jnl`	Latent Adaptive Planner for Dynamic Manipulation. CoRR Donghun Noh, Deqian Kong, Minglu Zhao, Andrew Lizarraga, Jianwen Xie, Ying Nian Wu, Dennis W. Hong
2025	A*	`conf`	Monitoring Primitive Interactions During the Training of DNNs. AAAI Jie Ren, Xinhao Zheng, Jiyu Liu, Andrew Lizarraga, Ying Nian Wu, Liang Lin, Quanshi Zhang
2025	J	`jnl`	Multi-Modal Masked Autoencoders for Learning Image-Spectrum Associations for Galaxy Evolution and Cosmology. CoRR Morgan Himes, Samiksha Krishnamurthy, Andrew Lizarraga, Srinath Saikrishnan, Vikram Seenivasan, Jonathan Soriano, Ying Nian Wu, Tuan Do
2024	J	`jnl`	DODT: Enhanced Online Decision Transformer Learning through Dreamer's Actor-Critic Trajectory Forecasting. CoRR 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
2024	—	`conf`	Differentiable VQ-VAE's for Robust White Matter Streamline Encodings. ISBI Andrew Lizarraga, Brandon Taraku, Edouardo Honig, Ying Nian Wu, Shantanu H. Joshi
2024	A*	`conf`	Latent Plan Transformer for Trajectory Abstraction: Planning as Latent Space Inference. NeurIPS Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024	J	`jnl`	Latent Plan Transformer: Planning as Latent Variable Inference. CoRR Deqian Kong, Dehong Xu, Minglu Zhao, Bo Pang, Jianwen Xie, Andrew Lizarraga, Yuhao Huang, Sirui Xie, Ying Nian Wu
2024	J	`jnl`	Learning the Evolution of Physical Structure of Galaxies via Diffusion Models. CoRR Andrew Lizarraga, Eric Hanchen Jiang, Jacob Nowack, Yun Qi Li, Ying Nian Wu, Bernie Boscoe, Tuan Do
2024	—	`conf`	SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning. Tiny Papers @ ICLR Eric Hanchen Jiang, Andrew Lizarraga
2024	J	`jnl`	Unlocking the Potential of Text-to-Image Diffusion with PAC-Bayesian Theory. CoRR Eric Hanchen Jiang, Yasi Zhang, Zhi Zhang, Yixin Wan, Andrew Lizarraga, Shufan Li, Ying Nian Wu
2023	J	`jnl`	Differentiable VQ-VAE's for Robust White Matter Streamline Encodings. CoRR Andrew Lizarraga, Brandon Taraku, Edouardo Honig, Ying Nian Wu, Shantanu H. Joshi
2023	J	`jnl`	SDSRA: A Skill-Driven Skill-Recombination Algorithm for Efficient Policy Learning. CoRR Eric Hanchen Jiang, Andrew Lizarraga
2022	—	`conf`	StreamNet: A WAE for White Matter Streamline Analysis. GeoMedIA Andrew Lizarraga, Katherine L. Narr, Kirsten A. Donald, Shantanu H. Joshi
2022	J	`jnl`	StreamNet: A WAE for White Matter Streamline Analysis. CoRR Andrew Lizarraga, Katherine L. Narr, Kristy A. Donald, Shantanu H. Joshi
2021	—	`conf`	Alignment of Tractography Streamlines Using Deformation Transfer via Parallel Transport. CDMRI@MICCAI Andrew Lizarraga, David S. Lee, Antoni Kubicki, Ashish Sahib, Elvis Nunez, Katherine L. Narr, Shantanu H. Joshi
2021	J	`jnl`	Alignment of Tractography Streamlines using Deformation Transfer via Parallel Transport. CoRR Andrew Lizarraga, David S. Lee, Antoni Kubicki, Ashish Sahib, Elvis Nunez, Katherine L. Narr, Shantanu H. Joshi
2021	—	`conf`	SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Functional Alignment. CVPR Workshops Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi
2021	J	`jnl`	SrvfNet: A Generative Network for Unsupervised Multiple Diffeomorphic Shape Alignment. CoRR Elvis Nunez, Andrew Lizarraga, Shantanu H. Joshi