10 citations · 13 across the 7 of their papers we have counts for
7 papers
PolyLingua: Margin-based Inter-class Transformer for Robust Cross-domain Language Detection
Ali Lotfi Rezaabad, Bikram Khanal, Shashwat Chaurasia +5
Language identification is a crucial first step in multilingual systems such as chatbots and virtual assistants, enabling linguistically and culturally accurate user experiences. E…
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise
Bikram Khanal, Pablo Rivas
Quantum machine learning offers a transformative approach to solving complex problems, but the inherent noise hinders its practical implementation in near-term quantum devices. Thi…
NLP-Guided Synthesis: Transitioning from Sequential Programs to Distributed Programs
Arun Sanjel, Bikram Khanal, Greg Speegle +1
As the need for large-scale data processing grows, distributed programming frameworks like PySpark have become increasingly popular. However, the task of converting traditional, se…
Learning Robust Observable to Address Noise in Quantum Machine Learning
Bikram Khanal, Pablo Rivas
Quantum Machine Learning (QML) has emerged as a promising field that combines the power of quantum computing with the principles of machine learning. One of the significant challen…
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
Bikram Khanal, Pablo Rivas, Arun Sanjel +3
Despite the mounting anticipation for the quantum revolution, the success of Quantum Machine Learning (QML) in the Noisy Intermediate-Scale Quantum (NISQ) era hinges on a largely u…
On Adversarial Examples for Text Classification by Perturbing Latent Representations
Korn Sooksatra, Bikram Khanal, Pablo Rivas
Recently, with the advancement of deep learning, several applications in text classification have advanced significantly. However, this improvement comes with a cost because deep l…
A Modified Depolarization Approach for Efficient Quantum Machine Learning
Bikram Khanal, Pablo Rivas
Quantum Computing in the Noisy Intermediate-Scale Quantum (NISQ) era has shown promising applications in machine learning, optimization, and cryptography. Despite the progress, cha…