Ajay Kumar Tanwani

45 papers A* 3A 4B 1C 4Misc 1Journal 20Unranked 11

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Large Language Models Encode Clinical Knowledge. CoRR Karan Singhal, Shekoofeh Azizi, Tao Tu, S. Sara Mahdavi, Jason Wei, Hyung Won Chung, Nathan Scales, Ajay Kumar Tanwani, Heather Cole-Lewis, Stephen Pfohl, Perry Payne, Martin Seneviratne, Paul Gamble, Chris Kelly, Nathaneal Schärli, Aakanksha Chowdhery, Philip Andrew Mansfield, Blaise Agüera y Arcas, Dale R. Webster, Gregory S. Corrado, Yossi Matias, Katherine Chou, Juraj Gottweis, Nenad Tomasev, Yun Liu, Alvin Rajkomar, Joelle K. Barral, Christopher Semturs, Alan Karthikesalingam, Vivek Natarajan
2022	—	`conf`	RepsNet: Combining Vision with Language for Automated Medical Reports. MICCAI (5) Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
2022	J	`jnl`	RepsNet: Combining Vision with Language for Automated Medical Reports. CoRR Ajay Kumar Tanwani, Joelle K. Barral, Daniel Freedman
2022	J	`jnl`	VisuoSpatial Foresight for physical sequential fabric manipulation. Auton. Robots Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2021	J	`jnl`	Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning. Int. J. Robotics Res. Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
2021	J	`jnl`	Sequential robot imitation learning from observations. Int. J. Robotics Res. Ajay Kumar Tanwani, Andy Yan, Jonathan Lee, Sylvain Calinon, Ken Goldberg
2021	J	`jnl`	VisuoSpatial Foresight for Physical Sequential Fabric Manipulation. CoRR Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2020	Misc	`conf`	DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. CoRL Ajay Kumar Tanwani
2020	J	`jnl`	DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. CoRR Ajay Kumar Tanwani
2020	A	`conf`	Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. IROS Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg
2020	A*	`conf`	Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. ICRA Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
2020	J	`jnl`	Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. CoRR Ajay Kumar Tanwani, Pierre Sermanet, Andy Yan, Raghav Anand, Mariano Phielipp, Ken Goldberg
2020	—	`conf`	Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CASE Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg
2020	J	`jnl`	Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. CoRR Kate Sanders, Michael Danielczuk, Jeffrey Mahler, Ajay Kumar Tanwani, Ken Goldberg
2020	J	`jnl`	RILaaS: Robot Inference and Learning as a Service. IEEE Robotics Autom. Lett. Ajay Kumar Tanwani, Raghav Anand, Joseph E. Gonzalez, Ken Goldberg
2020	—	`conf`	Robust Task-Based Grasping as a Service. CASE Jingyi Song, Ajay Kumar Tanwani, Jeffrey Ichnowski, Michael Danielczuk, Kate Sanders, Jackson Chui, Juan Aparicio Ojea, Ken Goldberg
2020	—	`conf`	VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. Robotics: Science and Systems Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2020	J	`jnl`	VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. CoRR Ryan Hoque, Daniel Seita, Ashwin Balakrishna, Aditya Ganapathi, Ajay Kumar Tanwani, Nawid Jamali, Katsu Yamane, Soshi Iba, Ken Goldberg
2019	A*	`conf`	A Fog Robotic System for Dynamic Visual Servoing. ICRA Nan Tian, Ajay Kumar Tanwani, Jinfa Chen, Mas Ma, Robert Zhang, Bill Huang, Ken Goldberg, Somayeh Sojoudi
2019	A*	`conf`	A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering. ICRA Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, Joseph E. Gonzalez, Ken Goldberg
2019	J	`jnl`	A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering. CoRR Ajay Kumar Tanwani, Nitesh Mor, John Kubiatowicz, Joseph E. Gonzalez, Ken Goldberg
2019	J	`jnl`	Deep Imitation Learning of Sequential Fabric Smoothing Policies. CoRR Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, Katsu Yamane, Soshi Iba, John F. Canny, Ken Goldberg
2019	C	`conf`	Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. ISRR Daniel Seita, Nawid Jamali, Michael Laskey, Ajay Kumar Tanwani, Ron Berenstein, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
2019	—	`conf`	Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. CASE Benno Staub, Ajay Kumar Tanwani, Jeffrey Mahler, Michel Breyer, Michael Laskey, Yutaka Takaoka, Max Bajracharya, Roland Siegwart, Ken Goldberg
2019	C	`conf`	Mitigating Network Latency in Cloud-Based Teleoperation Using Motion Segmentation and Synthesis. ISRR Nan Tian, Ajay Kumar Tanwani, Ken Goldberg, Somayeh Sojoudi
2019	—	`conf`	Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities. ISMR Brijen Thananjeyan, Ajay Kumar Tanwani, Jessica J. Ji, Danyal Fer, Vatsal Patel, Sanjay Krishnan, Ken Goldberg
2019	J	`jnl`	Small-variance asymptotics for non-parametric online robot learning. Int. J. Robotics Res. Ajay Kumar Tanwani, Sylvain Calinon
2018	C	`conf`	A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. WAFR Jonathan N. Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
2018	J	`jnl`	A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. CoRR Jonathan Lee, Michael Laskey, Ajay Kumar Tanwani, Anil Aswani, Ken Goldberg
2018	—	`conf`	Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System. CASE Pusong Li, Bill DeRose, Jeffrey Mahler, Juan Aparicio Ojea, Ajay Kumar Tanwani, Ken Goldberg
2018	J	`jnl`	Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles. IEEE Robotics Autom. Mag. Andreas Birk, Tobias Doernbach, Christian A. Mueller, Tomasz Luczynski, Arturo Gomez Chavez, Daniel Koehntopp, Andras Gabor Kupcsik, Sylvain Calinon, Ajay Kumar Tanwani, Gianluca Antonelli, Paolo Di Lillo, Enrico Simetti, Giuseppe Casalino, Giovanni Indiveri, Luigi Ostuni, Alessio Turetta, Andrea Caffaz, Peter Weiss, Thibaud Gobert, Bertrand Chemisky, Jeremi Gancet, Torsten Siedel, Shashank Govindaraj, Xavier Martinez, Pierre Letier
2018	C	`conf`	Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. WAFR Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
2018	J	`jnl`	Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. CoRR Ajay Kumar Tanwani, Jonathan Lee, Brijen Thananjeyan, Michael Laskey, Sanjay Krishnan, Roy Fox, Ken Goldberg, Sylvain Calinon
2018	—	`—`	Generative Models for Learning Robot Manipulation Skills from Humans. Ajay Kumar Tanwani
2018	J	`jnl`	Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. CoRR Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John F. Canny, Ken Goldberg
2017	A	`conf`	A generative model for intention recognition and manipulation assistance in teleoperation. IROS Ajay Kumar Tanwani, Sylvain Calinon
2016	J	`jnl`	Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model. IEEE Robotics Autom. Lett. Ajay Kumar Tanwani, Sylvain Calinon
2016	J	`jnl`	Small Variance Asymptotics for Non-Parametric Online Robot Learning. CoRR Ajay Kumar Tanwani, Sylvain Calinon
2014	—	`conf`	Rewards-driven control of robot arm by decoding EEG signals. EMBC Ajay Kumar Tanwani, José del R. Millán, Aude Billard
2013	A	`conf`	Transfer in inverse reinforcement learning for multiple strategies. IROS Ajay Kumar Tanwani, Aude Billard
2009	—	`conf`	Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets. IWLCS Ajay Kumar Tanwani, Muddassar Farooq
2009	—	`conf`	Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets. EvoBIO Ajay Kumar Tanwani, M. Jamal Afridi, M. Zubair Shafiq, Muddassar Farooq
2009	A	`conf`	IMAD: in-execution malware analysis and detection. GECCO Syed Bilal Mehdi, Ajay Kumar Tanwani, Muddassar Farooq
2009	—	`conf`	Performance evaluation of evolutionary algorithms in classification of biomedical datasets. GECCO (Companion) Ajay Kumar Tanwani, Muddassar Farooq
2009	B	`conf`	The Role of Biomedical Dataset in Classification. AIME Ajay Kumar Tanwani, Muddassar Farooq