b'Rahul Sharma'

research

∙ 07/02/2023

Numerical Association Rule Mining: A Systematic Literature Review

Numerical association rule mining is a widely used variant of the associ...

0 Minakshi Kaushik, et al. ∙

research

∙ 01/31/2023

Training with Mixed-Precision Floating-Point Assignments

When training deep neural networks, keeping all tensors in high precisio...

0 Wonyeol Lee, et al. ∙

research

∙ 01/16/2023

Machine learning techniques for the Schizophrenia diagnosis: A comprehensive review and future research directions

Schizophrenia (SCZ) is a brain disorder where different people experienc...

0 Shradha Verma, et al. ∙

research

∙ 12/01/2022

Audio-Visual Activity Guided Cross-Modal Identity Association for Active Speaker Detection

Active speaker detection in videos addresses associating a source face, ...

0 Rahul Sharma, et al. ∙

research

∙ 10/29/2022

MinUn: Accurate ML Inference on Microcontrollers

Running machine learning inference on tiny devices, known as TinyML, is ...

0 Shikhar Jaiswal, et al. ∙

research

∙ 09/28/2022

Machine Learning for Optical Motion Capture-driven Musculoskeletal Modeling from Inertial Motion Capture Data

Marker-based Optical Motion Capture (OMC) systems and the associated mus...

0 Abhishek Dasgupta, et al. ∙

research

∙ 09/24/2022

Unsupervised active speaker detection in media content using cross-modal information

We present a cross-modal unsupervised framework for active speaker detec...

6 Rahul Sharma, et al. ∙

research

∙ 05/06/2022

Federated Learning with Noisy User Feedback

Machine Learning (ML) systems are getting increasingly popular, and driv...

39 Rahul Sharma, et al. ∙

research

∙ 03/30/2022

Using Active Speaker Faces for Diarization in TV shows

Speaker diarization is one of the critical components of computational m...

0 Rahul Sharma, et al. ∙

research

∙ 03/21/2022

Audio visual character profiles for detecting background characters in entertainment media

An essential goal of computational media intelligence is to support unde...

0 Rahul Sharma, et al. ∙

research

∙ 09/30/2021

Phonetic Word Embeddings

This work presents a novel methodology for calculating the phonetic simi...

0 Rahul Sharma, et al. ∙

research

∙ 09/01/2021

Application and Benchmark of SPH for Modeling the Impact in Thermal Spraying

The properties of a thermally sprayed coating, such as its durability or...

0 Stefan Rhys Jeske, et al. ∙

research

∙ 09/01/2021

Quantitative Evaluation of SPH in TIG Spot Welding

While the application of the Smoothed Particle Hydrodynamics (SPH) metho...

0 Stefan Rhys Jeske, et al. ∙

research

∙ 07/21/2021

Multi-institution encrypted medical imaging AI validation without data sharing

Adoption of artificial intelligence medical imaging applications is ofte...

0 Arjun Soin, et al. ∙

research

∙ 07/08/2021

MAFIA: Machine Learning Acceleration on FPGAs for IoT Applications

Recent breakthroughs in ML have produced new classes of models that allo...

0 Nikhil Pratap Ghanathe, et al. ∙

research

∙ 05/10/2021

SIRNN: A Math Library for Secure RNN Inference

Complex machine learning (ML) inference algorithms like recurrent neural...

0 Deevashwer Rathee, et al. ∙

research

∙ 03/29/2021

Variational Rejection Particle Filtering

We present a variational inference (VI) framework that unifies and lever...

19 Rahul Sharma, et al. ∙

research

∙ 12/09/2020

Secure Medical Image Analysis with CrypTFlow

We present CRYPTFLOW, a system that converts TensorFlow inference code i...

0 Javier Alvarez-Valle, et al. ∙

research

∙ 10/13/2020

CrypTFlow2: Practical 2-Party Secure Inference

We present CrypTFlow2, a cryptographic framework for secure inference ov...

0 Deevashwer Rathee, et al. ∙

research

∙ 03/09/2020

Crossmodal learning for audio-visual speech event localization

An objective understanding of media depictions, such as about inclusive ...

4 Rahul Sharma, et al. ∙

research

∙ 11/26/2019

OASIS: ILP-Guided Synthesis of Loop Invariants

Finding appropriate inductive loop invariants for a program is a key cha...

0 Sahil Bhatia, et al. ∙

research

∙ 09/17/2019

Refined α-Divergence Variational Inference via Rejection Sampling

We present an approximate inference method, based on a synergistic combi...

0 Rahul Sharma, et al. ∙

research

∙ 09/16/2019

CrypTFlow: Secure TensorFlow Inference

We present CrypTFlow, a first of its kind system that converts TensorFlo...

0 Nishant Kumar, et al. ∙

research

∙ 05/17/2019

Overfitting in Synthesis: Theory and Practice (Extended Version)

In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...

0 Saswat Padhi, et al. ∙

research

∙ 05/17/2019

Overfitting in Synthesis: Theory and Practice (Extender Version)

In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...

0 Saswat Padhi, et al. ∙

research

∙ 05/17/2019

Overfitting in Synthesis: Theory and Practice

In syntax-guided synthesis (SyGuS), a synthesizer's goal is to automatic...

0 Saswat Padhi, et al. ∙

research

∙ 11/21/2017

Pixie: A System for Recommending 3+ Billion Items to 200+ Million Users in Real-Time

User experience in modern content discovery applications critically depe...

0 Chantat Eksombatchai, et al. ∙

research

∙ 11/09/2017

Eventually Sound Points-To Analysis with Missing Code

Static analyses make the increasingly tenuous assumption that all source...

0 Osbert Bastani, et al. ∙

research

∙ 11/09/2017

Active Learning of Points-To Specifications

When analyzing programs, large libraries pose significant challenges to ...

0 Osbert Bastani, et al. ∙

research

∙ 07/21/2017

Multichannel Attention Network for Analyzing Visual Behavior in Public Speaking

Public speaking is an important aspect of human communication and intera...

0 Rahul Sharma, et al. ∙

Rahul Sharma

Featured Co-authors