Ahuja, Arun
8 papers on CoChatORCID 0000-0003-3452-3128
Most cited papers
- Verified
Genomic features of response to combination immunotherapy in patients with advanced non-small-cell lung cancer
Hellmann, M. D., Nathanson, T., Rizvi, H., Creelan, B. C., Sanchez-Vega, F., Ahuja, A., Ni, A., Novik, J. B., Mangarin, L. M. B., Abu-Akeel, M., et al. (2018) · Cancer Cell
Cancer Immunotherapy and BiomarkersLung Cancer Treatments and Mutations
Cited by 1,095
- Verified
Gemini: A Family of Highly Capable Multimodal Models
Gemini Team, Anil, R., Borgeaud, S., Alayrac, J.-B., Yu, J., Soricut, R., Schalkwyk, J., Dai, A. M., Hauth, A., Millican, K., et al. (2023) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 990
- Verified
Experience Replay for Continual Learning
Rolnick, D., Ahuja, A., Schwarz, J., Lillicrap, T. P., & Wayne, G. (2018) · arXiv
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 529
- Verified
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Georgiev, P., Lei, V. I., Burnell, R., Bai, L., Gulati, A., Tanzer, G., Vincent, D., Pan, Z., Wang, S., et al. (2024) · arXiv
Multimodal Machine Learning ApplicationsTopic Modeling
Cited by 306
- Verified
Optimizing Agent Behavior over Long Time Scales by Transporting Value
Hung, C.-C., Lillicrap, T., Abramson, J., Wu, Y., Mirza, M., Carnevale, F., Ahuja, A., & Wayne, G. (2018) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 75
- Verified
Imitating Interactive Intelligence
Abramson, J., Ahuja, A., Barr, I., Brussee, A., Carnevale, F., Cassin, M., Chhaparia, R., Clark, S., Damoc, B., Dudzik, A., et al. (2020) · arXiv
Reinforcement Learning in RoboticsSocial Robot Interaction and HRI
Cited by 43
- Verified
Collaborating with language models for embodied reasoning
Dasgupta, I., Kaeser-Chen, C., Marino, K., Ahuja, A., Babayan, S., Hill, F., & Fergus, R. (2023) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 14
- Verified
Scaling Instructable Agents Across Many Simulated Worlds
SIMA Team, Raad, M. A., Ahuja, A., Barros, C., Besse, F., Bolt, A., Bolton, A., Brownfield, B., Buttimore, G., Cant, M., et al. (2024) · arXiv
Reinforcement Learning in RoboticsAI-based Problem Solving and Planning
Cited by 9
Go further with a free account
Verify every reference, keep papers in a library, and ask questions across them.
Sign up - it is free