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Publication search results
found 22 matches
- 2023
- Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth:
Maximum State Entropy Exploration using Predecessor and Successor Representations. NeurIPS 2023 - Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth:
Maximum State Entropy Exploration using Predecessor and Successor Representations. CoRR abs/2306.14808 (2023) - 2022
- Arnab Mitra, Arnav Jain, Avinash Kishore, Pravin Kumar:
A Comparative Study of Demand Forecasting Models for a Multi-Channel Retail Company: A Novel Hybrid Machine Learning Approach. Oper. Res. Forum 3(4) (2022) - Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou:
Learning Robust Dynamics through Variational Sparse Gating. NeurIPS 2022 - Arnav Kumar Jain, Shivakanth Sujit, Shruti Joshi, Vincent Michalski, Danijar Hafner, Samira Ebrahimi Kahou:
Learning Robust Dynamics through Variational Sparse Gating. CoRR abs/2210.11698 (2022) - 2021
- Arnav Kapoor, Rishi Raj Jain, Avinash Prabhu, Tanvi Karandikar, Ponnurangam Kumaraguru:
"I'll be back": Examining Restored Accounts On Twitter. WI/IAT 2021: 71-78 - Deepak Saini, Arnav Kumar Jain, Kushal Dave, Jian Jiao, Amit Singh, Ruofei Zhang, Manik Varma:
GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification. WWW 2021: 3733-3744 - Arnav Kapoor, Rishi Raj Jain, Avinash Prabhu, Tanvi Karandikar, Ponnurangam Kumaraguru:
I'll be back: Examining Restored Accounts On Twitter. CoRR abs/2111.12395 (2021) - 2020
- Pankaj Kumar Jain, Saurabh Gupta, Arnav Bhavsar, Aditya Nigam, Neeraj Sharma:
Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach. Medical Biol. Eng. Comput. 58(3): 471-482 (2020) - Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas:
Prior Guided GAN Based Semantic Inpainting. CVPR 2020: 13693-13702 - Arnav Kumar Jain, Gundeep Arora, Rahul Agrawal:
Graph Regularization for Multi-lingual Topic Models. SIGIR 2020: 1741-1744 - Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain, Susan Amin, Samira Ebrahimi Kahou:
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks. CoRR abs/2011.14371 (2020) - 2019
- Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. ICIP 2019: 2706-2710 - Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. CoRR abs/1908.04968 (2019) - Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas:
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors. CoRR abs/1908.05861 (2019) - 2018
- Abhinav Agarwalla, Arnav Kumar Jain, K. V. Manohar, Arpit Tarang Saxena, Jayanta Mukhopadhyay:
Bayesian optimisation with prior reuse for motion planning in robot soccer. COMAD/CODS 2018: 88-97 - Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Improved Techniques for GAN based Facial Inpainting. CoRR abs/1810.08774 (2018) - 2017
- Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra:
Recurrent Memory Addressing for Describing Videos. CVPR Workshops 2017: 2200-2207 - Radu Timofte, Eirikur Agustsson, Luc Van Gool, Ming-Hsuan Yang, Lei Zhang, Bee Lim, Sanghyun Son, Heewon Kim, Seungjun Nah, Kyoung Mu Lee, Xintao Wang, Yapeng Tian, Ke Yu, Yulun Zhang, Shixiang Wu, Chao Dong, Liang Lin, Yu Qiao, Chen Change Loy, Woong Bae, Jae Jun Yoo, Yoseob Han, Jong Chul Ye, Jae-Seok Choi, Munchurl Kim, Yuchen Fan, Jiahui Yu, Wei Han, Ding Liu, Haichao Yu, Zhangyang Wang, Honghui Shi, Xinchao Wang, Thomas S. Huang, Yunjin Chen, Kai Zhang, Wangmeng Zuo, Zhimin Tang, Linkai Luo, Shaohui Li, Min Fu, Lei Cao, Wen Heng, Giang Bui, Truc Le, Ye Duan, Dacheng Tao, Ruxin Wang, Xu Lin, Jianxin Pang, Jinchang Xu, Yu Zhao, Xiangyu Xu, Jin-shan Pan, Deqing Sun, Yujin Zhang, Xibin Song, Yuchao Dai, Xueying Qin, Xuan-Phung Huynh, Tiantong Guo, Hojjat Seyed Mousavi, Tiep Huu Vu, Vishal Monga, Cristóvão Cruz, Karen O. Egiazarian, Vladimir Katkovnik, Rakesh Mehta, Arnav Kumar Jain, Abhinav Agarwalla, Ch V. Sai Praveen, Ruofan Zhou, Hongdiao Wen, Che Zhu, Zhiqiang Xia, Zhengtao Wang, Qi Guo:
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results. CVPR Workshops 2017: 1110-1121 - Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra:
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network. CoRR abs/1711.06106 (2017) - 2016
- Abhinav Agarwalla, Arnav Kumar Jain, Arpit Saxena, Jayanta Mukhopadhyay:
Optimal Spline Trajectories by Modelling Kinematic Constraints in Robot Soccer. CoRR abs/1611.01851 (2016) - Kumar Krishna Agrawal, Arnav Kumar Jain, Abhinav Agarwalla, Pabitra Mitra:
Recurrent Memory Addressing for describing videos. CoRR abs/1611.06492 (2016)
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