Keutzer, Kurt

Characterizing Prompt Compression Methods for Long Context Inference

Jha, S., Erdogan, L. E., Kim, S., Keutzer, K., & Gholami, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

RoVi-Aug: Robot and Viewpoint Augmentation for Cross-Embodiment Robot Learning

Chen, L. Y., Xu, C., Dharmarajan, K., Irshad, M. Z., Cheng, R., Keutzer, K., Tomizuka, M., Vuong, Q., & Goldberg, K. (2024) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

EvoX: Meta-Evolution for Automated Discovery

Liu, S., Agarwal, S., Maheswaran, M., Cemri, M., Li, Z., Mang, Q., Naren, A., Boneh, E., Cheng, A., Pan, M. Z., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 1

Dobi-SVD: Differentiable SVD for LLM Compression and Some New Perspectives

Wang, Q., Ke, J., Tomizuka, M., Chen, Y., Keutzer, K., & Xu, C. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

$V_1$: Unifying Generation and Self-Verification for Parallel Reasoners

Singh, H., Li, X., Sareen, K., Maheswaran, M., Tan, S., Wu, X., Wang, J., Ariyak, A., Wu, Q., Khaki, S., et al. (2026) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution

Maheswaran, M., Lakhani, L., Zhou, Z., Yang, S., Wang, J., Hooper, C., Hu, Y., Tiwari, R., Wang, J., Singh, H., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0