Lu, Kevin

11 publications

NeurIPS 2025 Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Cheng Xin

NeurIPS 2025 When Are Concepts Erased from Diffusion Models? Kevin Lu, Nicky Kriplani, Rohit Gandikota, Minh Pham, David Bau, Chinmay Hegde, Niv Cohen

NeurIPS 2024 Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Hongbin Sun, Cheng Xin

AAAI 2022 Frozen Pretrained Transformers as Universal Computation Engines Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

NeurIPSW 2022 NVIDIA FLARE: Federated Learning from Simulation to Real-World Holger R Roth, Yan Cheng, Yuhong Wen, Isaac Yang, Ziyue Xu, YuanTing Hsieh, Kristopher Kersten, Ahmed Harouni, Can Zhao, Kevin Lu, Zhihong Zhang, Wenqi Li, Andriy Myronenko, Dong Yang, Sean Yang, Nicola Rieke, Abood Quraini, Chester Chen, Daguang Xu, Nic Ma, Prerna Dogra, Mona G Flores, Andrew Feng

AAAI 2022 Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models Steven Y. Feng, Kevin Lu, Zhuofu Tao, Malihe Alikhani, Teruko Mitamura, Eduard H. Hovy, Varun Gangal

NeurIPS 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Misha Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

ICMLW 2021 Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

ICLR 2021 Efficient Empowerment Estimation for Unsupervised Stabilization Ruihan Zhao, Kevin Lu, Pieter Abbeel, Stas Tiomkin

ICLR 2021 Reset-Free Lifelong Learning with Skill-Space Planning Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch

NeurIPSW 2021 URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin, Denis Yarats, Hao Liu, Kimin Lee, Albert Zhan, Kevin Lu, Catherine Cang, Lerrel Pinto, Pieter Abbeel