papers

Publications (7)

eess.SP2025

Domain-Factored Untrained Deep Prior for Spectrum Cartography

Subash Timilsina, Sagar Shrestha, Lei Cheng +1

Spectrum cartography (SC) focuses on estimating the radio power propagation map of multiple emitters across space and frequency using limited sensor measurements. Recent advances i…

cs.LG2024

Identifiable Shared Component Analysis of Unpaired Multimodal Mixtures

Subash Timilsina, Sagar Shrestha, Xiao Fu

A core task in multi-modal learning is to integrate information from multiple feature spaces (e.g., text and audio), offering modality-invariant essential representations of data.…

cs.SD2021

Search Disaster Victims using Sound Source Localization

Abhish Khanal, Deepak Chand, Prakash Chaudhary +4

Sound Source Localization (SSL) are used to estimate the position of sound sources. Various methods have been used for detecting sound and its localization. This paper presents a s…

cs.LG2026

Domain Transfer Becomes Identifiable via a Single Alignment

Sagar Shrestha, Subash Timilsina, Hoang-Son Nguyen +1

Domain transfer (DT) maps source to target distributions and supports tasks such as unsupervised image-to-image translation, single-cell analysis, and cross-platform medical imagin…

cs.LG2026

Content-Style Identification via Differential Independence

Subash Timilsina, Hoang-Son Nguyen, Sagar Shrestha +1

Generative analysis often models multi-domain observations as nonlinear mixtures of domain-invariant content variables and domain-specific style variables. Identifying both factors…

cs.LG2025

Distribution Matching via Generalized Consistency Models

Sagar Shrestha, Rajesh Shrestha, Tri Nguyen +1

Recent advancement in generative models have demonstrated remarkable performance across various data modalities. Beyond their typical use in data synthesis, these models play a cru…

eess.SP2023

Quantized Radio Map Estimation Using Tensor and Deep Generative Models

Subash Timilsina, Sagar Shrestha, Xiao Fu

Spectrum cartography (SC), also known as radio map estimation (RME), aims at crafting multi-domain (e.g., frequency and space) radio power propagation maps from limited sensor meas…