The 3-body problem is a special case of the n-body problem where one takes the initial positions and velocities of three point masses and attempts to predict their motion over time according to Newtonian laws of motion and universal gravitation. Though analytical solutions have been found for special cases, the general problem remains unsolved; the...Read More

For decades, we have been using systems like the “Big Five” personality traits to classify human personalities. These usually involve a pool of questions which participants answer, and the answers are used to classify/score a candidate along certain axes, into specific groups. The Big Five, for example, are: Openness to experience (inventive/curious vs. consistent/cautious) Conscientiousness...Read More

Authors: Krithika Rangarajan, Sumanyu Muku, Amit Kumar Garg, Pavan Gabra, Sujay Halkur Shankar, Neeraj Nischal, Kapil Dev Dev Soni, Ashu Seith Bhalla Seith Bhalla, Anant Mohan, Pawan Tiwari, Sushma Bhatnagar, Raghav Bansal, Atin Kumar, Shivanand Gamanagati, Richa Aggarwal, Upendra Baitha, Ashutosh Biswas, Arvind Kumar, Pankaj Jorwal, . Shalimar, A Shariff, Naveet Wig, Rajeshwari Subramanium, Anjan Trikha, Rajesh Malhotra, Randeep Guleria, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora
Venue: European Radiology. January 2021
Link: https://link.springer.com/article/10.1007%2Fs00330-020-07628-5Read More

Authors: Sneha Goswami, Ambikapathi P, Suransh Chopra, Vishwas Lathi, Krithika Rangarajan, Surabhi Vyas, Smriti Hari, Arun Gupta, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora
Venue: RSNA 2020Read More

Authors: Potnuru Kishen Suraj, Ankesh Gupta, Makkunda Sharma, Sourabh Bikas Paul, Subhashis Banerjee
Venue: Working paper, 2017
Link: https://arxiv.org/abs/1712.02282Read More

Authors: Adel Daoud, Felipe Jordan, Makkunda Sharma, Sourabh Bikash Paul, Fredrik Johansson, Devdatt Dubhashi, Subhashis Banerjee
Link: https://arxiv.org/abs/2202.00109Read More

Authors: Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
Venue: IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022
Link: https://openaccess.thecvf.com/content/WACV2022/papers/Tiwari_REGroup_Rank-Aggregating_Ensemble_of_Generative_Classifiers_for_Robust_Predictions_WACV_2022_paper.pdfRead More

We investigate reliability issues of machine learning, especially with respect to adversarial attacks. REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee.  IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2022. (https://openaccess.thecvf.com/content/WACV2022/papers/Tiwari_REGroup_Rank-Aggregating_Ensemble_of_Generative_Classifiers_for_Robust_Predictions_WACV_2022_paper.pdf)Read More

We develop a set of machine learning based tools for accurate prediction of socio-economic indicators from daytime satellite imagery. The diverse set of indicators are often not intuitively related to observable features in satellite images, and are not even always well correlated with each other. Our predictive tool is more accurate than using night light...Read More

Most real world systems are complex in nature and agent based modeling allows researchers to create models with the required complexity and test out what-if scenarios to understand the behavior of the system. These models are helpful in understanding emergent phenomena and help to devise policy interventions. We aim to develop powerful population data generation,...Read More