Hovakimyan, Naira

19 publications

L4DC 2024 Proto-MPC: An Encoder-Prototype-Decoder Approach for Quadrotor Control in Challenging Winds Yuliang Gu, Sheng Cheng, Naira Hovakimyan

CVPRW 2024 Residual-Based Language Models Are Free Boosters for Biomedical Imaging Tasks Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan

ICLR 2024 Robust Model Based Reinforcement Learning Using $\mathcal{L}_1$ Adaptive Control Minjun Sung, Sambhu Harimanas Karumanchi, Aditya Gahlawat, Naira Hovakimyan

CVPRW 2024 The New Agronomists: Language Models Are Experts in Crop Management Jing Wu, Zhixin Lai, Suiyao Chen, Ran Tao, Pan Zhao, Naira Hovakimyan

NeurIPS 2023 Balanced Training for Sparse GANs Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun

L4DC 2023 DiffTune$^+$: Hyperparameter-Free Auto-Tuning Using Auto-Differentiation Sheng Cheng, Lin Song, Minkyung Kim, Shenlong Wang, Naira Hovakimyan

TMLR 2023 Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis Jing Wu, David Pichler, Daniel Marley, Naira Hovakimyan, David A Wilson, Jennifer Hobbs

ICCV 2023 Hallucination Improves the Performance of Unsupervised Visual Representation Learning Jing Wu, Jennifer Hobbs, Naira Hovakimyan

IJCAI 2023 Optimizing Crop Management with Reinforcement Learning and Imitation Learning Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan

NeurIPSW 2023 ReConTab: Regularized Contrastive Representation Learning for Tabular Data Suiyao Chen, Jing Wu, Naira Hovakimyan, Handong Yao

L4DC 2023 Safe and Efficient Reinforcement Learning Using Disturbance-Observer-Based Control Barrier Functions Yikun Cheng, Pan Zhao, Naira Hovakimyan

CVPRW 2022 Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan

L4DC 2021 Contraction L1-Adaptive Control Using Gaussian Processes Aditya Gahlawat, Arun Lakshmanan, Lin Song, Andrew Patterson, Zhuohuan Wu, Naira Hovakimyan, Evangelos A. Theodorou

AAAI 2021 Detection and Prediction of Nutrient Deficiency Stress Using Longitudinal Aerial Imagery Saba Dadsetan, Gisele Rose, Naira Hovakimyan, Jennifer A. Hobbs

CVPRW 2021 Superpixels and Graph Convolutional Neural Networks for Efficient Detection of Nutrient Deficiency Stress from Aerial Imagery Saba Dadsetan, David Pichler, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs

NeurIPS 2020 F-Divergence Variational Inference Neng Wan, Dapeng Li, Naira Hovakimyan

L4DC 2020 L1-GP: L1 Adaptive Control with Bayesian Learning Aditya Gahlawat, Pan Zhao, Andrew Patterson, Naira Hovakimyan, Evangelos Theodorou

CVPRW 2020 Multi-Stream CNN for Spatial Resource Allocation: A Crop Management Application Alexandre Barbosa, Thiago Marinho, Nicolas F. Martin, Naira Hovakimyan

CVPRW 2020 The 1st Agriculture-Vision Challenge: Methods and Results Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang