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Animesh Sinha
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2020 – today
- 2024
- [j2]Bhuvanesh Sridharan, Animesh Sinha, Jai Bardhan, Rohit Modee, Masahiro Ehara, U. Deva Priyakumar
:
Deep reinforcement learning in chemistry: A review. J. Comput. Chem. 45(22, August): 1886-1898 (2024) - [c5]Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa:
GenTron: Diffusion Transformers for Image and Video Generation. CVPR 2024: 6441-6451 - [c4]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. ECCV (77) 2024: 375-391 - [i9]Zecheng He, Bo Sun, Felix Juefei-Xu, Haoyu Ma, Ankit Ramchandani, Vincent Cheung, Siddharth Shah, Anmol Kalia, Harihar Subramanyam, Alireza Zareian, Li Chen, Ankit Jain, Ning Zhang, Peizhao Zhang, Roshan Sumbaly, Peter Vajda, Animesh Sinha:
Imagine yourself: Tuning-Free Personalized Image Generation. CoRR abs/2409.13346 (2024) - 2023
- [j1]Utkarsh Azad
qLEET: visualizing loss landscapes, expressibility, entangling power and training trajectories for parameterized quantum circuits. Quantum Inf. Process. 22(6): 256 (2023) - [i8]Animesh Sinha, Bo Sun, Anmol Kalia, Arantxa Casanova, Elliot Blanchard, David Yan, Winnie Zhang, Tony Nelli, Jiahui Chen, Hardik Shah, Licheng Yu, Mitesh Kumar Singh, Ankit Ramchandani, Maziar Sanjabi, Sonal Gupta, Amy Bearman, Dhruv Mahajan:
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression. CoRR abs/2311.10794 (2023) - [i7]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. CoRR abs/2312.03584 (2023) - [i6]Shoufa Chen, Mengmeng Xu, Jiawei Ren, Yuren Cong, Sen He, Yanping Xie, Animesh Sinha, Ping Luo, Tao Xiang, Juan-Manuel Pérez-Rúa:
GenTron: Delving Deep into Diffusion Transformers for Image and Video Generation. CoRR abs/2312.04557 (2023) - [i5]Saksham Suri, Fanyi Xiao, Animesh Sinha, Sean Chang Culatana, Raghuraman Krishnamoorthi, Chenchen Zhu, Abhinav Shrivastava:
Gen2Det: Generate to Detect. CoRR abs/2312.04566 (2023) - 2022
- [c3]Animesh Sinha, Utkarsh Azad, Harjinder Singh:
Qubit Routing Using Graph Neural Network Aided Monte Carlo Tree Search. AAAI 2022: 9935-9943 - [c2]Suvir Mirchandani, Licheng Yu, Mengjiao Wang, Animesh Sinha, Wenwen Jiang, Tao Xiang, Ning Zhang:
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. EMNLP 2022: 10484-10497 - [c1]Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao Wang
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. KDD 2022: 4433-4442 - [i4]Licheng Yu, Jun Chen, Animesh Sinha, Mengjiao M. J. Wang, Hugo Chen, Tamara L. Berg, Ning Zhang:
CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval. CoRR abs/2202.07247 (2022) - [i3]Suvir Mirchandani, Licheng Yu, Mengjiao Wang
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning. CoRR abs/2210.15028 (2022) - 2021
- [i2]Animesh Sinha, Utkarsh Azad, Harjinder Singh:
Qubit Routing using Graph Neural Network aided Monte Carlo Tree Search. CoRR abs/2104.01992 (2021) - [i1]Filip Radenovic, Animesh Sinha, Albert Gordo, Tamara L. Berg, Dhruv Mahajan:
Large-Scale Attribute-Object Compositions. CoRR abs/2105.11373 (2021)
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