Akash Sharma - RankMe

39 papers A* 2A 1C 2Misc 1Journal 31Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PTLD: Sim-to-real Privileged Tactile Latent Distillation for Dexterous Manipulation. CoRR Rosy Chen, Mustafa Mukadam, Michael Kaess, Tingfan Wu, Francois Robert Hogan, Jitendra Malik, Akash Sharma
2026	J	`jnl`	Scaling Real-Time Traffic Analytics on Edge-Cloud Fabrics for City-Scale Camera Networks. CoRR Akash Sharma, Pranjal Naman, Roopkatha Banerjee, Priyanshu Pansari, Sankalp Gawali, Mayank Arya, Sharath Chandra, Arun Josephraj, Rakshit Ramesh, Punit Rathore, Anirban Chakraborty, Raghu Krishnapuram, Vijay Kovvali, Yogesh Simmhan
2026	J	`jnl`	TactAlign: Human-to-Robot Policy Transfer via Tactile Alignment. CoRR Youngsun Wi, Jessica Yin, Elvis Xiang, Akash Sharma, Jitendra Malik, Mustafa Mukadam, Nima Fazeli, Tess Lee Hellebrekers
2025	J	`jnl`	Any4D: Unified Feed-Forward Metric 4D Reconstruction. CoRR Jay Karhade, Nikhil Varma Keetha, Yuchen Zhang, Tanisha Gupta, Akash Sharma, Sebastian A. Scherer, Deva Ramanan
2025	J	`jnl`	Dexterity from Smart Lenses: Multi-Fingered Robot Manipulation with In-the-Wild Human Demonstrations. CoRR Irmak Guzey, Haozhi Qi, Julen Urain, Changhao Wang, Jessica Yin, Krishna Bodduluri, Mike Lambeta, Lerrel Pinto, Akshara Rai, Jitendra Malik, Tingfan Wu, Akash Sharma, Homanga Bharadhwaj
2025	J	`jnl`	DexterityGen: Foundation Controller for Unprecedented Dexterity. CoRR Zhao-Heng Yin, Changhao Wang, Luis Pineda, Francois Robert Hogan, Chaithanya Krishna Bodduluri, Akash Sharma, Patrick Lancaster, Ishita Prasad, Mrinal Kalakrishnan, Jitendra Malik, Mike Lambeta, Tingfan Wu, Pieter Abbeel, Mustafa Mukadam
2025	J	`jnl`	Kalman-Langevin dynamics : exponential convergence, particle approximation and numerical approximation. CoRR Axel Ringh, Akash Sharma
2025	J	`jnl`	SPIDER: Scalable Physics-Informed Dexterous Retargeting. CoRR Chaoyi Pan, Changhao Wang, Haozhi Qi, Zixi Liu, Homanga Bharadhwaj, Akash Sharma, Tingfan Wu, Guanya Shi, Jitendra Malik, François Robert Hogan
2025	J	`jnl`	Sampling and Estimation on Manifolds using the Langevin Diffusion. J. Mach. Learn. Res. Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov
2025	J	`jnl`	Score-based constrained generative modeling via Langevin diffusions with boundary conditions. CoRR Adam Nordenhög, Akash Sharma
2025	J	`jnl`	Self-supervised perception for tactile skin covered dexterous hands. CoRR Akash Sharma, Carolina Higuera, Chaithanya Krishna Bodduluri, Zixi Liu, Taosha Fan, Tess Hellebrekers, Mike Lambeta, Byron Boots, Michael Kaess, Tingfan Wu, Francois Robert Hogan, Mustafa Mukadam
2025	J	`jnl`	Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation. CoRR Carolina Higuera, Akash Sharma, Taosha Fan, Chaithanya Krishna Bodduluri, Byron Boots, Michael Kaess, Mike Lambeta, Tingfan Wu, Zixi Liu, Francois Robert Hogan, Mustafa Mukadam
2025	J	`jnl`	The Urban Vision Hackathon Dataset and Models: Towards Image Annotations and Accurate Vision Models for Indian Traffic. CoRR Akash Sharma, Chinmay Mhatre, Sankalp Gawali, Ruthvik Bokkasam, Brij Kishore, Vishwajeet Pattanaik, Tarun Rambha, Abdul R. Pinjari, Vijay Kovvali, Anirban Chakraborty, Punit Rathore, Raghu Krishnapuram, Yogesh Simmhan
2025	J	`jnl`	Weak approximation of stochastic differential equations with sticky boundary conditions. CoRR Akash Sharma
2024	J	`jnl`	Numerical integrators for confined Langevin dynamics. CoRR Ben Leimkuhler, Akash Sharma, Michael V. Tretyakov
2024	J	`jnl`	Residual and past varinaccuracy measures. IMA J. Math. Control. Inf. Akash Sharma, Chanchal Kundu
2024	Misc	`conf`	Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRL Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam
2024	J	`jnl`	Sparsh: Self-supervised touch representations for vision-based tactile sensing. CoRR Carolina Higuera, Akash Sharma, Chaithanya Krishna Bodduluri, Taosha Fan, Patrick Lancaster, Mrinal Kalakrishnan, Michael Kaess, Byron Boots, Mike Lambeta, Tingfan Wu, Mustafa Mukadam
2024	C	`conf`	Towards Sustainable Consumer Electronics: DL-based SoH and RUL Prediction for E-Waste Reduction. ICCE Anureet Chhabra, Sunil K. Singh, Akash Sharma, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Kwok Tai Chui
2024	J	`jnl`	Well-posedness and approximation of reflected McKean-Vlasov SDEs with applications. CoRR P. D. Hinds, Akash Sharma, Michael V. Tretyakov
2023	J	`jnl`	A Novel Deep Federated Learning-Based Model to Enhance Privacy in Critical Infrastructure Systems. Int. J. Softw. Sci. Comput. Intell. Akash Sharma, Sunil K. Singh, Anureet Chhabra, Sudhakar Kumar, Varsha Arya, Massoud Moslehpour
2023	J	`jnl`	A Statistical Analysis of Sentiment over Different Social Platforms on Drug Usage across High, Middle and Low-Income Countries. Scalable Comput. Pract. Exp. Anureet Chhabra, Akash Sharma, Kunal Chhabra, Amit Chhabra
2023	C	`conf`	Fuzzy Based Clustering of Consumers' Big Data in Industrial Applications. ICCE Akash Sharma, Sunil K. Singh, Eshita Badwal, Sudhakar Kumar, Brij B. Gupta, Varsha Arya, Kwok Tai Chui, Domenico Santaniello
2023	J	`jnl`	Improving Cross-Language Code Clone Detection via Code Representation Learning and Graph Neural Networks. IEEE Trans. Software Eng. Nikita Mehrotra, Akash Sharma, Anmol Jindal, Rahul Purandare
2023	A*	`conf`	Neural Radiance Fields with LiDAR Maps. ICCV Ming-fang Chang, Akash Sharma, Michael Kaess, Simon Lucey
2023	J	`jnl`	Sampling and estimation on manifolds using the Langevin diffusion. CoRR Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov
2022	J	`jnl`	Consensus based optimization via jump-diffusion stochastic differential equations. CoRR Dante Kalise, Akash Sharma, Michael V. Tretyakov
2022	J	`jnl`	Deciphering Key Genes and miRNAs Associated With Hepatocellular Carcinoma via Network-Based Approach. IEEE ACM Trans. Comput. Biol. Bioinform. Sachin Bhatt, Prithvi Singh, Archana Sharma, Arpita Rai, Ravins Dohare, Shweta Sankhwar, Akash Sharma, Mansoor Ali Syed
2022	A	`conf`	Learned Depth Estimation of 3D Imaging Radar for Indoor Mapping. IROS Ruoyang Xu, Wei Dong, Akash Sharma, Michael Kaess
2022	J	`jnl`	Mobile Cloud Computing and Sustainable Development: Opportunities, Challenges, and Future Directions. Int. J. Cloud Appl. Comput. Francisco José García-Peñalvo, Akash Sharma, Anureet Chhabra, Sunil K. Singh, Sudhakar Kumar, Varsha Arya, Akshat Gaurav
2022	J	`jnl`	Recognition and Classification of Human Actions Using 2D Pose Estimation and Machine Learning. J. Comput. Sci. Eng. Monika Dhiman, Akash Sharma, Sarbjeet Singh
2021	J	`jnl`	Comparative investigation of machine learning algorithms for detection of epileptic seizures. Intell. Decis. Technol. Akash Sharma, Neeraj Kumar, Ayush Kumar, Karan Dikshit, Kusum Lata Tharani, Bharat Singh
2021	A*	`conf`	Compositional and Scalable Object SLAM. ICRA Akash Sharma, Wei Dong, Michael Kaess
2020	J	`jnl`	Compositional Scalable Object SLAM. CoRR Akash Sharma, Wei Dong, Michael Kaess
2020	J	`jnl`	One-Step Assembly of Fluorescence-Based Cyanide Sensors from Inexpensive, Off-The-Shelf Materials. Sensors Gregory E. Fernandes, Ya-Wen Chang, Akash Sharma, Sarah Tutt
2020	J	`jnl`	Simplest random walk for approximating Robin boundary value problems and ergodic limits of reflected diffusions. CoRR Benedict J. Leimkuhler, Akash Sharma, Michael V. Tretyakov
2018	—	`conf`	A Deep Learning Approach for Molecular Crystallinity Prediction. IBICA Akash Sharma, Bharti Khungar
2018	J	`jnl`	Distributed Denial of Service Attack and its Countermeasures. Int. J. Web Appl. Akash Sharma, Deepanshu Batra, Rajat Pandey, Priti Narwal, Vinay Kumar
2017	—	`conf`	An Innovative B2C E-commerce Websites Selection using the ME-OWA and Fuzzy AHP. ICITKM Anu G. Aggarwal, Akash Sharma