55 citations · 67 across the 11 of their papers we have counts for
11 papers
Stochastic Trip Planning in High Dimensional Public Transit Network
Raashid Altaf, Pravesh Biyani
This paper proposes a generalised framework for density estimation in large networks with measurable spatiotemporal variance in edge weights. We solve the stochastic shortest path…
No Transfers Required: Integrating Last Mile with Public Transit Using Opti-Mile
Raashid Altaf, Pravesh Biyani
Public transit is a popular mode of transit due to its affordability, despite the inconveniences due to the necessity of transfers required to reach most areas. For example, in the…
Dense Air Quality Maps Using Regressive Facility Location Based Drive By Sensing
Charul Paliwal, Pravesh Biyani
Currently, fixed static sensing is a primary way to monitor environmental data like air quality in cities. However, to obtain a dense spatial coverage, a large number of static mon…
Variational Bayesian Filtering with Subspace Information for Extreme Spatio-Temporal Matrix Completion
Charul Paliwal, Pravesh Biyani, Ketan Rajawat
Missing data is a common problem in real-world sensor data collection. The performance of various approaches to impute data degrade rapidly in the extreme scenarios of low data sam…
Impulse Denoising From Hyper-Spectral Images: A Blind Compressed Sensing Approach
Angshul Majumdar, Naushad Ansari, Hemant Aggarwal +1
In this work we propose a technique to remove sparse impulse noise from hyperspectral images. Our algorithm accounts for the spatial redundancy and spectral correlation of such ima…
Benchmark Dataset for Timetable Optimization of Bus Routes in the City of New Delhi
Anubhav Jain, Avdesh Kumar, Saumya Balodi +1
Public transport is one of the major forms of transportation in the world. This makes it vital to ensure that public transport is efficient. This research presents a novel real-tim…
To each route its own ETA: A generative modeling framework for ETA prediction
Charul, Pravesh Biyani
Accurate expected time of arrival (ETA) information is crucial in maintaining the quality of service of public transit. Recent advances in artificial intelligence (AI) has led to m…
Online Variational Bayesian Subspace Filtering with Applications
Charul, Uttkarsha Bhatt, Pravesh Biyani +1
Matrix completion and robust principal component analysis have been widely used for the recovery of data suffering from missing entries or outliers. In many real-world applications…
Towards Automated Single Channel Source Separation using Neural Networks
Arpita Gang, Pravesh Biyani, Akshay Soni
Many applications of single channel source separation (SCSS) including automatic speech recognition (ASR), hearing aids etc. require an estimation of only one source from a mixture…
Per-Tone model for Common Mode sensor based alien noise cancellation for Downstream xDSL
Ramanjit Ahuja, Pravesh Biyani, Surendra Prasad +1
For xDSL systems, alien noise cancellation using an additional common mode sensor at the downstream receiver can be thought of as interference cancellation in a Single Input Dual O…
Distributed Representations for Biological Sequence Analysis
Dhananjay Kimothi, Akshay Soni, Pravesh Biyani +1
Biological sequence comparison is a key step in inferring the relatedness of various organisms and the functional similarity of their components. Thanks to the Next Generation Sequ…