Integrity Coded Databases: An Evaluation of Performance, Efficiency, and Practicality. - Dan Kondratyuk; Jake Rodden; Elmer Duran (CoRR, 2018)

When Ensembling Smaller Models is More Efficient than Single Large Models. - Dan Kondratyuk; Mingxing Tan; Matthew Brown 001; Boqing Gong (CoRR, 2020)

Multiple Networks are More Efficient than One: Fast and Accurate Models via Ensembles and Cascades. - Xiaofang Wang; Dan Kondratyuk; Kris M. Kitani; Yair Movshovitz-Attias; Elad Eban (CoRR, 2020)

MoViNets: Mobile Video Networks for Efficient Video Recognition. - Dan Kondratyuk; Liangzhe Yuan; Yandong Li; Li Zhang 003; Mingxing Tan; Matthew Brown 001; Boqing Gong (CVPR, 2021)

Towards a Unified Foundation Model: Jointly Pre-Training Transformers on Unpaired Images and Text. - Qing Li 001; Boqing Gong; Yin Cui; Dan Kondratyuk; Xianzhi Du; Ming-Hsuan Yang 001; Matthew Brown 001 (CoRR, 2021)

Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models. - Xiaofang Wang; Dan Kondratyuk; Eric Christiansen; Kris M. Kitani; Yair Movshovitz-Attias; Elad Eban (ICLR, 2022)

Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception. - Hassan Akbari; Dan Kondratyuk; Yin Cui; Rachel Hornung; Huisheng Wang; Hartwig Adam (NeurIPS, 2023)

VideoPoet: A Large Language Model for Zero-Shot Video Generation. - Dan Kondratyuk; Lijun Yu; Xiuye Gu; José Lezama; Jonathan Huang; Grant Schindler; Rachel Hornung; Vighnesh Birodkar; Jimmy Yan; Ming-Chang Chiu; Krishna Somandepalli; Hassan Akbari; et al. (ICML, 2024)

CamViG: Camera Aware Image-to-Video Generation with Multimodal Transformers. - Andrew Marmon; Grant Schindler; José Lezama; Dan Kondratyuk; Bryan Seybold; Irfan Essa (CoRR, 2024)

MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation. - Sihyun Yu; Meera Hahn; Dan Kondratyuk; Jinwoo Shin; Agrim Gupta; José Lezama; Irfan Essa; David A. Ross; Jonathan Huang (CoRR, 2025)

Improved Immiscible Diffusion: Accelerate Diffusion Training by Reducing Its Miscibility. - Yiheng Li; Feng Liang; Dan Kondratyuk; Masayoshi Tomizuka; Kurt Keutzer; Chenfeng Xu (CoRR, 2025)