47 citations · 51 across the 5 of their papers we have counts for
9 papers
-net Induced Lazy Witness Complexes on Graphs
Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
Computation of persistent homology of simplicial representations such as the Rips and the Cěch complexes do not efficiently scale to large point clouds. It is, therefore, meaningfu…
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
Ashish Dandekar, Debabrota Basu, Stephane Bressan
The calibration of noise for a privacy-preserving mechanism depends on the sensitivity of the query and the prescribed privacy level. A data steward must make the non-trivial choic…
Construction and Random Generation of Hypergraphs with Prescribed Degree and Dimension Sequences
Naheed Anjum Arafat, Debabrota Basu, Laurent Decreusefond +1
We propose algorithms for construction and random generation of hypergraphs without loops and with prescribed degree and dimension sequences. The objective is to provide a starting…
Finding Quantum Critical Points with Neural-Network Quantum States
Remmy Zen, Long My, Ryan Tan +5
Finding the precise location of quantum critical points is of particular importance to characterise quantum many-body systems at zero temperature. However, quantum many-body system…
Transfer learning for scalability of neural-network quantum states
Remmy Zen, Long My, Ryan Tan +5
Neural-network quantum states have shown great potential for the study of many-body quantum systems. In statistical machine learning, transfer learning designates protocols reusing…
Topological Data Analysis with -net Induced Lazy Witness Complex
Naheed Anjum Arafat, Debabrota Basu, Stéphane Bressan
Topological data analysis computes and analyses topological features of the point clouds by constructing and studying a simplicial representation of the underlying topological stru…