output
20122026
most citedEmbedding Watermarks into Deep Neural Networks

687 citations

Showing 2025Show all

10 papers · 1 filter

quant-ph2025★ 1 cited

Quantum hash function using discrete-time quantum walk on Hanoi network

Pulak Ranjan Giri

Quantum walk based hash functions have attracted a lot of attention in recent years because of its faster execution time and robust resistance against attacks compared to classical…

eess.SP2025

CUNEC: A Path Loss Model for Urban Cell-Free Massive MIMO Networks

Thomas Choi, Yuning Zhang, Issei Kanno +2

Accurate path loss (PL) modeling is essential for evaluating and optimizing cell-free massive MIMO systems, especially in dense urban environments where traditional models fail to…

cs.LG2025★ 1 cited

Learning After Model Deployment

Derda Kaymak, Gyuhak Kim, Tomoya Kaichi +2

In classic supervised learning, once a model is deployed in an application, it is fixed. No updates will be made to it during the application. This is inappropriate for many dynami…

quant-ph2025★ 2 cited

Multi-target quantum walk search on Johnson graph

Pulak Ranjan Giri

The discrete-time quantum walk on the Johnson graph is a useful tool for performing target vertex searches with high success probability. This graph is defined by dist…

quant-ph2025★ 4 cited

Quantum walk search based edge detection of images

Pulak Ranjan Giri, Rei Sato, Kazuhiro Saito

Quantum walk has emerged as an essential tool for searching marked vertices on various graphs. Recent advances in the discrete-time quantum walk search algorithm have enabled it to…

quant-ph2025

Fast variational knowledge graph embedding

Pulak Ranjan Giri, Mori Kurokawa, Kazuhiro Saito

Embedding of a knowledge graph(KG) entities and relations in the form of vectors is an important aspect for the manipulation of the KG database for several downstream tasks, such a…