output
20082026
most citedTen Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

168 citations

Showing cs.AIShow all

6 papers · 1 filter

cs.AI2024

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…

cs.AI2024★ 3 cited

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…

cs.AI2021★ 1 cited

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…

cs.AI2021★ 40 cited

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…

cs.AI2020★ 5 cited

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…

cs.AI2016★ 1 cited

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…