4 papers
A Deep Learning Earth System Model Simulation of Indian Monsoon Intraseasonal and Interannual Variability
Bijit Kumar Banerjee, Devabrat Sharma, R. I. Sujith +6
With the data-driven artificial intelligence/machine learning (AI/ML) models having demonstrated their ability to extend the prediction horizon of large-scale weather at a fraction…
Transformers with Sparse Attention for Granger Causality
Riya Mahesh, Rahul Vashisht, Chandrashekar Lakshminarayanan
Temporal causal analysis means understanding the underlying causes behind observed variables over time. Deep learning based methods such as transformers are increasingly used to ca…
Approximate Linear Programming for Decentralized Policy Iteration in Cooperative Multi-agent Markov Decision Processes
Lakshmi Mandal, Chandrashekar Lakshminarayanan, Shalabh Bhatnagar
In this work, we consider a cooperative multi-agent Markov decision process (MDP) involving m agents. At each decision epoch, all the m agents independently select actions in order…
Half-Space Feature Learning in Neural Networks
Mahesh Lorik Yadav, Harish Guruprasad Ramaswamy, Chandrashekar Lakshminarayanan
There currently exist two extreme viewpoints for neural network feature learning -- (i) Neural networks simply implement a kernel method (a la NTK) and hence no features are learne…