168 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Indian Institute of Science BangaloreIN29 papers
- Indian Institute of Management BangaloreIN24 papers
- Sorbonne University Abu DhabiAE6 papers
- Amrita Vishwa VidyapeethamIN3 papers
- Duke-NUS Medical SchoolSG2 papers
- IBM (India)IN2 papers
- Indian Institute of Technology BombayIN2 papers
- Indian Institute of Technology GuwahatiIN2 papers
- Indian Institute of Technology KharagpurIN2 papers
- Kyushu UniversityJP2 papers
- National University of SingaporeSG2 papers
- Sorbonne UniversitéFR2 papers
6 papers · 1 filter
ScaleViz: Scaling Visualization Recommendation Models on Large Data
Ghazi Shazan Ahmad, Shubham Agarwal, Subrata Mitra +4
Automated visualization recommendations (vis-rec) help users to derive crucial insights from new datasets. Typically, such automated vis-rec models first calculate a large number o…
Learning Agents With Prioritization and Parameter Noise in Continuous State and Action Space
Rajesh Mangannavar, Gopalakrishnan Srinivasaraghavan
Among the many variants of RL, an important class of problems is where the state and action spaces are continuous -- autonomous robots, autonomous vehicles, optimal control are all…
Paradigms of Computational Agency
Srinath Srinivasa, Jayati Deshmukh
Agent-based models have emerged as a promising paradigm for addressing ever increasing complexity of information systems. In its initial days in the 1990s when object-oriented mode…
Modeling Influencer Marketing Campaigns in Social Networks
Ronak Doshi, Ajay Ramesh Ranganathan, Shrisha Rao
Social media are extensively used in today's world, and facilitate quick and easy sharing of information, which makes them a good way to advertise products. Influencers of a social…
Interleaving Fast and Slow Decision Making
Aditya Gulati, Sarthak Soni, Shrisha Rao
The "Thinking, Fast and Slow" paradigm of Kahneman proposes that we use two different styles of thinking -- a fast and intuitive System 1 for certain tasks, along with a slower but…
Phoenix: A Self-Optimizing Chess Engine
Rahul Aralikatte, G Srinivasaraghavan
Since the advent of computers, many tasks which required humans to spend a lot of time and energy have been trivialized by the computers' ability to perform repetitive tasks extrem…