9 citations · 17 across the 5 of their papers we have counts for
6 papers
Revisiting Simple Baselines for Relational Deep Learning
Viet The Nguyen, Vijay Prakash Dwivedi, Gunther Gust
Relational deep learning has emerged as a powerful paradigm for learning end-to-end predictive models over relational databases by representing them as temporal heterogeneous graph…
Neumann scalars in AdS: partition functions and phases
Biki Bishwakarma, Astha Kakkar, Swarnendu Sarkar
We present an analysis of one-loop partition functions for scalars in AdS obeying the Neumann boundary condition and explore phases of scalar field theories in several dime…
Scalar fields and 3D Flat Space Cosmologies
Arjun Bagchi, Supratik Biswas, Astha Kakkar +1
Flat Space Cosmologies (FSC) are time-dependent solutions in Einstein gravity in three-dimensional (3D) spacetimes with zero cosmological constant. These are orbifolds of 3D flat s…
Partition functions for vectors and phases of scalar QED in AdS
Astha Kakkar, Swarnendu Sarkar
We extend the computation of one-loop partition function in AdS using the method in [arXiv:2201.09043] and [arXiv:2303.02711] for scalars and fermions to the case of …
Phases of theories with fermions in AdS
Astha Kakkar, Swarnendu Sarkar
We study the phases of Yukawa theories at weak coupling and the Gross-Neveu models in AdS spaces at zero and finite temperature. Following the method used in \cite{Kakkar:2022hub},…
On partition functions and phases of scalars in AdS
Astha Kakkar, Swarnendu Sarkar
We study the phases of scalar field theories in thermal spaces for . The analysis is done for theories with global symmetry for the finite as well as la…