publications

2023

1. ECML-PKDD

   marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization

   Mehta, Kinal, Mahajan, Anuj, and Kumar, Pawan

   In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Demo Track 2023

   Bib HTML

   @inproceedings{mehta2023marl-jax,
     abbr = {ECML-PKDD},
     author = {Mehta, Kinal and Mahajan, Anuj and Kumar, Pawan},
     title = {marl-jax: Multi-agent Reinforcement Leaning Framework for Social Generalization},
     booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Demo Track},
     year = {2023},
     publisher = {Springer International Publishing},
     html = {https://arxiv.org/abs/2303.13808},
     bibtex_show = {true},
     selected = {true}
   }

2. IEEE IJCNN

   Effects of Spectral Normalization in Multi-agent Reinforcement Learning

   Mehta, Kinal, Mahajan, Anuj, and Kumar, Pawan

   In International Joint Conference on Neural Networks (IJCNN) 2023

   Bib HTML

   @inproceedings{mehta2023effects,
     abbr = {IEEE IJCNN},
     author = {Mehta, Kinal and Mahajan, Anuj and Kumar, Pawan},
     booktitle = {International Joint Conference on Neural Networks (IJCNN)},
     title = {Effects of Spectral Normalization in Multi-agent Reinforcement Learning},
     year = {2023},
     html = {https://arxiv.org/abs/2212.05331},
     bibtex_show = {true},
     selected = {true}
   }

2022

1. JMLR

   CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms

   Huang, Shengyi, Dossa, Rousslan Fernand Julien, Ye, Chang, Braga, Jeff, Chakraborty, Dipam,  Mehta, Kinal, and Araújo, João G.M.

   Journal of Machine Learning Research 2022

   Bib HTML

   @article{JMLR:v23:21-1342,
     abbr = {JMLR},
     author = {Huang, Shengyi and Dossa, Rousslan Fernand Julien and Ye, Chang and Braga, Jeff and Chakraborty, Dipam and Mehta, Kinal and Araújo, João G.M.},
     title = {CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms},
     journal = {Journal of Machine Learning Research},
     booktitle = {Journal of Machine Learning Research},
     year = {2022},
     volume = {23},
     number = {274},
     pages = {1--18},
     html = {http://jmlr.org/papers/v23/21-1342.html},
     bibtex_show = {true},
     selected = {true}
   }

2. arXiv

   ReF - Rotation Equivariant Features for Local Feature Matching

   Peri, Abhishek,  Mehta, Kinal, Mishra, Avneesh, Milford, Michael, Garg, Sourav, and Krishna, K. Madhava

   2022

   Bib HTML

   @article{peri2022ref,
     abbr = {arXiv},
     title = {ReF - Rotation Equivariant Features for Local Feature Matching},
     author = {Peri, Abhishek and Mehta, Kinal and Mishra, Avneesh and Milford, Michael and Garg, Sourav and Krishna, K. Madhava},
     booktitle = {arXiv Preprint},
     year = {2022},
     eprint = {2203.05206},
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     html = {https://arxiv.org/abs/2203.05206},
     bibtex_show = {true}
   }

2021

1. IEEE IROS

   RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching

   Singh Parihar, Udit, Gujarathi, Aniket,  Mehta, Kinal, Tourani, Satyajit, Garg, Sourav, Milford, Michael, and Krishna, K. Madhava

   In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021

   Bib HTML

   @inproceedings{rord2021,
     abbr = {IEEE IROS},
     author = {Singh Parihar, Udit and Gujarathi, Aniket and Mehta, Kinal and Tourani, Satyajit and Garg, Sourav and Milford, Michael and Krishna, K. Madhava},
     booktitle = {IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
     title = {RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching},
     year = {2021},
     pages = {1593-1600},
     doi = {10.1109/IROS51168.2021.9636619},
     html = {https://uditsinghparihar.github.io/RoRD},
     url = {https://arxiv.org/abs/2103.08573},
     bibtex_show = {true}
   }

2019

1. arXiv

   W-Net: Reinforced U-Net for Density Map Estimation

   Valloli, Varun Kannadi, and Mehta, Kinal

   2019

   Bib HTML

   @article{wnet2019,
     abbr = {arXiv},
     author = {Valloli, Varun Kannadi and Mehta, Kinal},
     booktitle = {arXiv Preprint},
     title = {W-Net: Reinforced U-Net for Density Map Estimation},
     year = {2019},
     eprint = {1903.11249},
     archiveprefix = {arXiv},
     primaryclass = {cs.CV},
     html = {https://arxiv.org/abs/1903.11249},
     bibtex_show = {true}
   }

2018

1. IEEE RAICS

   Data Generation Using Sequence-to-Sequence

   Joshi, Akshat,  Mehta, Kinal, Gupta, Neha, and Valloli, Varun Kannadi

   In IEEE Recent Advances in Intelligent Computational Systems (RAICS) 2018

   Bib HTML

   @inproceedings{8635052,
     abbr = {IEEE RAICS},
     author = {Joshi, Akshat and Mehta, Kinal and Gupta, Neha and Valloli, Varun Kannadi},
     booktitle = {IEEE Recent Advances in Intelligent Computational Systems (RAICS)},
     title = {Data Generation Using Sequence-to-Sequence},
     year = {2018},
     pages = {108-112},
     doi = {10.1109/RAICS.2018.8635052},
     html = {https://ieeexplore.ieee.org/abstract/document/8635052},
     bibtex_show = {true}
   }

2. IEEE RAICS

   Indian Language Transliteration Using Deep Learning

   Joshi, Akshat,  Mehta, Kinal, Gupta, Neha, and Valloli, Varun Kannadi

   In IEEE Recent Advances in Intelligent Computational Systems (RAICS) 2018

   Bib HTML

   @inproceedings{8635077,
     abbr = {IEEE RAICS},
     author = {Joshi, Akshat and Mehta, Kinal and Gupta, Neha and Valloli, Varun Kannadi},
     booktitle = {IEEE Recent Advances in Intelligent Computational Systems (RAICS)},
     title = {Indian Language Transliteration Using Deep Learning},
     year = {2018},
     pages = {103-107},
     doi = {10.1109/RAICS.2018.8635077},
     html = {https://ieeexplore.ieee.org/abstract/document/8635077},
     bibtex_show = {true}
   }