The Role of Biomedical Dataset in Classification. - Ajay Kumar Tanwani; Muddassar Farooq (AIME, 2009)

Guidelines to Select Machine Learning Scheme for Classification of Biomedical Datasets. - Ajay Kumar Tanwani; M. Jamal Afridi; M. Zubair Shafiq; Muddassar Farooq (EvoBIO, 2009)

IMAD: in-execution malware analysis and detection. - Syed Bilal Mehdi; Ajay Kumar Tanwani; Muddassar Farooq (GECCO, 2009)

Performance evaluation of evolutionary algorithms in classification of biomedical datasets. - Ajay Kumar Tanwani; Muddassar Farooq (GECCO (Companion), 2009)

Classification Potential vs. Classification Accuracy: A Comprehensive Study of Evolutionary Algorithms with Biomedical Datasets. - Ajay Kumar Tanwani; Muddassar Farooq (IWLCS, 2009)

Transfer in inverse reinforcement learning for multiple strategies. - Ajay Kumar Tanwani; Aude Billard (IROS, 2013)

Rewards-driven control of robot arm by decoding EEG signals. - Ajay Kumar Tanwani; José del R. Millán; Aude Billard (EMBC, 2014)

Learning Robot Manipulation Tasks With Task-Parameterized Semitied Hidden Semi-Markov Model. - Ajay Kumar Tanwani; Sylvain Calinon (IEEE Robotics Autom. Lett., 2016)

A generative model for intention recognition and manipulation assistance in teleoperation. - Ajay Kumar Tanwani; Sylvain Calinon (IROS, 2017)

Dex-Net as a Service (DNaaS): A Cloud-Based Robust Robot Grasp Planning System. - Pusong Li; Bill DeRose; Jeffrey Mahler; Juan Aparicio Ojea; Ajay Kumar Tanwani; Ken Goldberg (CASE, 2018)

A Dynamic Regret Analysis and Adaptive Regularization Algorithm for On-Policy Robot Imitation Learning. - Jonathan N. Lee; Michael Laskey; Ajay Kumar Tanwani; Anil Aswani; Ken Goldberg (WAFR, 2018)

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models. - Ajay Kumar Tanwani; Jonathan Lee 002; Brijen Thananjeyan; Michael Laskey; Sanjay Krishnan; Roy Fox; Ken Goldberg; Sylvain Calinon (WAFR, 2018)

Robot Bed-Making: Deep Transfer Learning Using Depth Sensing of Deformable Fabric. - Daniel Seita; Nawid Jamali; Michael Laskey; Ron Berenstein; Ajay Kumar Tanwani; Prakash Baskaran; Soshi Iba; John F. Canny; Ken Goldberg (CoRR, 2018)

Dexterous Underwater Manipulation from Onshore Locations: Streamlining Efficiencies for Remotely Operated Underwater Vehicles. - Andreas Birk 002; 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; et al. (IEEE Robotics Autom. Mag., 2018)

Generative Models for Learning Robot Manipulation Skills from Humans. - Ajay Kumar Tanwani (2018)

Dex-Net MM: Deep Grasping for Surface Decluttering with a Low-Precision Mobile Manipulator. - Benno Staub; Ajay Kumar Tanwani; Jeffrey Mahler; Michel Breyer; Michael Laskey; Yutaka Takaoka; Max Bajracharya; Roland Siegwart; Ken Goldberg (CASE, 2019)

A Fog Robotics Approach to Deep Robot Learning: Application to Object Recognition and Grasp Planning in Surface Decluttering. - Ajay Kumar Tanwani; Nitesh Mor; John Kubiatowicz; Joseph E. Gonzalez; Ken Goldberg (ICRA, 2019)

A Fog Robotic System for Dynamic Visual Servoing. - Nan Tian; Ajay Kumar Tanwani; Jinfa Chen; Mas Ma; Robert Zhang 001; Bill Huang; Ken Goldberg; Somayeh Sojoudi (ICRA, 2019)

Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities. - Brijen Thananjeyan; Ajay Kumar Tanwani; Jessica J. Ji; Danyal Fer; Vatsal Patel; Sanjay Krishnan; Ken Goldberg (ISMR, 2019)

Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making. - Daniel Seita; Nawid Jamali; Michael Laskey; Ajay Kumar Tanwani; Ron Berenstein; Prakash Baskaran; Soshi Iba; John F. Canny; Ken Goldberg (ISRR, 2019)

Mitigating Network Latency in Cloud-Based Teleoperation Using Motion Segmentation and Synthesis. - Nan Tian; Ajay Kumar Tanwani; Ken Goldberg; Somayeh Sojoudi (ISRR, 2019)

Deep Imitation Learning of Sequential Fabric Smoothing Policies. - 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; et al. (CoRR, 2019)

Small-variance asymptotics for non-parametric online robot learning. - Ajay Kumar Tanwani; Sylvain Calinon (Int. J. Robotics Res., 2019)

Non-Markov Policies to Reduce Sequential Failures in Robot Bin Picking. - Kate Sanders 002; Michael Danielczuk; Jeffrey Mahler; Ajay Kumar Tanwani; Ken Goldberg (CASE, 2020)

Robust Task-Based Grasping as a Service. - Jingyi Song; Ajay Kumar Tanwani; Jeffrey Ichnowski; Michael Danielczuk; Kate Sanders 002; Jackson Chui; Juan Aparicio Ojea; Ken Goldberg (CASE, 2020)

DIRL: Domain-Invariant Representation Learning for Sim-to-Real Transfer. - Ajay Kumar Tanwani (CoRL, 2020)

Motion2Vec: Semi-Supervised Representation Learning from Surgical Videos. - Ajay Kumar Tanwani; Pierre Sermanet; Andy Yan; Raghav Anand; Mariano Phielipp; Ken Goldberg (ICRA, 2020)

Deep Imitation Learning of Sequential Fabric Smoothing From an Algorithmic Supervisor. - 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; et al. (IROS, 2020)

VisuoSpatial Foresight for Multi-Step, Multi-Task Fabric Manipulation. - Ryan Hoque; Daniel Seita; Ashwin Balakrishna; Aditya Ganapathi; Ajay Kumar Tanwani; Nawid Jamali; Katsu Yamane; Soshi Iba; Ken Goldberg (Robotics: Science and Systems, 2020)

RILaaS: Robot Inference and Learning as a Service. - Ajay Kumar Tanwani; Raghav Anand; Joseph E. Gonzalez; Ken Goldberg (IEEE Robotics Autom. Lett., 2020)

Dynamic regret convergence analysis and an adaptive regularization algorithm for on-policy robot imitation learning. - Jonathan N. Lee; Michael Laskey; Ajay Kumar Tanwani; Anil Aswani; Ken Goldberg (Int. J. Robotics Res., 2021)

Sequential robot imitation learning from observations. - Ajay Kumar Tanwani; Andy Yan; Jonathan Lee 002; Sylvain Calinon; Ken Goldberg (Int. J. Robotics Res., 2021)

RepsNet: Combining Vision with Language for Automated Medical Reports. - Ajay Kumar Tanwani; Joelle K. Barral; Daniel Freedman (MICCAI (5), 2022)

VisuoSpatial Foresight for physical sequential fabric manipulation. - Ryan Hoque; Daniel Seita; Ashwin Balakrishna; Aditya Ganapathi; Ajay Kumar Tanwani; Nawid Jamali; Katsu Yamane; Soshi Iba; Ken Goldberg (Auton. Robots, 2022)

Large Language Models Encode Clinical Knowledge. - Karan Singhal; Shekoofeh Azizi; Tao Tu 001; S. Sara Mahdavi; Jason Wei; Hyung Won Chung; Nathan Scales; Ajay Kumar Tanwani; Heather Cole-Lewis; Stephen Pfohl; Perry Payne; Martin Seneviratne; et al. (CoRR, 2022)