Tathagata Chakraborti
Artificial Intelligence · 2014–2018
A researcher in the Science corpus: 8 papers; trusts 24 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 41 citations into it; #15,061 of 35,345 by trust here, #13,353 by citations
- Social Psychology — 21 citations into it
- Computer Vision and Pattern Recognition — 12 citations into it; #17,680 of 21,575 by trust here, #14,822 by citations
- Control and Systems Engineering — 12 citations into it
- Robotics & Control — 8 citations into it
- Management Science and Operations Research — 6 citations into it
- Reinforcement Learning — 6 citations into it
Whom Tathagata Chakraborti trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bertram F. Malle
- Tania Lombrozo
- Malte Helmert
- Sarath Sreedharan
- Daniel Bryce
- Chris L. Baker
- Wako Yoshida
- C. E. Bartlett
- Nils J. Nilsson
- Miquel Ramírez
Who trusts Tathagata Chakraborti overall
- Sarath Sreedharan
- Subbarao Kambhampati
- Diego Aineto
- Ilia Stepin
- Tim Miller
- Sergio Jiménez
- Jieun Shin
- Eva Onaindia
- Amina Adadi
- Javier Chiyah-Garcia
Papers from Tathagata Chakraborti's perspective
Ordered by how strongly the researchers Tathagata Chakraborti trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- The Fast Downward Planning System
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Apprenticeship learning via inverse reinforcement learning
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- The FF Planning System: Fast Plan Generation Through Heuristic Search
Their papers
- Algorithms for the Greater Good! On Mental Modeling and Acceptable Symbiosis in Human-AI Collaboration (2018) — 28 citations
- Handling Model Uncertainty and Multiplicity in Explanations via Model Reconciliation (2018) — 71 citations
- Balancing Explicability and Explanation in Human-Aware Planning (2017) — 45 citations
- Plan Explanations as Model Reconciliation: Moving Beyond Explanation as Soliloquy (2017) — 349 citations
- RADAR - A Proactive Decision Support System for Human-in-the-Loop Planning (2017) — 42 citations
- Planning for serendipity (2015) — 53 citations
- Plan explicability and predictability for robot task planning (2015) — 184 citations
- Coordination in human-robot teams using mental modeling and plan recognition (2014) — 83 citations