papers

Publications (42)

cs.AI2026

Improving LLM Reliability through Hybrid Abstention and Adaptive Detection

Ankit Sharma, Nachiket Tapas, Jyotiprakash Patra

Large Language Models (LLMs) deployed in production environments face a fundamental safety-utility trade-off either a strict filtering mechanisms prevent harmful outputs but often…

quant-ph2025

Establishing Baselines for Photonic Quantum Machine Learning: Insights from an Open, Collaborative Initiative

Cassandre Notton, Vassilis Apostolou, Agathe Senellart +28

The Perceval Challenge is an open, reproducible benchmark designed to assess the potential of photonic quantum computing for machine learning. Focusing on a reduced and hardware-fe…

cs.NI2017

Joint Backhaul-Access Analysis of Full Duplex Self-Backhauling Heterogeneous Networks

Ankit Sharma, Radha Krishna Ganti, J. Klutto Milleth

With the successful demonstration of in-band full-duplex (IBFD) transceivers, a new research dimension has been added to wireless networks. This paper proposes an interesting use c…

physics.app-ph2020

Low field electron mobility in : An ab-initio approach

Ankit Sharma, Uttam Singisetti

The phase of is an ultra-wideband semiconductor with potential power electronics applications. In this work, we calculate the low field electron mobility in $α-…

cs.DS2013

On the Approximation of Submodular Functions

Nikhil R. Devanur, Shaddin Dughmi, Roy Schwartz +2

Submodular functions are a fundamental object of study in combinatorial optimization, economics, machine learning, etc. and exhibit a rich combinatorial structure. Many subclasses…

cond-mat.mtrl-sci2024

Effective Phonon Dispersion and Low field transport in AlxGa1-xN alloys using supercells: An ab-initio approach

Animesh Datta, Ankit Sharma, Matinehsadat Hosseinigheidari +1

To investigate the transport properties in random alloys, it is important to model the alloy disorder using supercells. Though traditional methods like Virtual Crystal Approximatio…

cs.CR2022

A systematic literature review on insider threats

Angad Pal Singh, Ankit Sharma

Insider threats is the most concerned cybersecurity problem which is poorly addressed by widely used security solutions. Despite the fact that there have been several scientific pu…

cs.CV2020

CCA: Exploring the Possibility of Contextual Camouflage Attack on Object Detection

Shengnan Hu, Yang Zhang, Sumit Laha +2

Deep neural network based object detection hasbecome the cornerstone of many real-world applications. Alongwith this success comes concerns about its vulnerability tomalicious atta…

cs.LG2021

Towards Consistent Predictive Confidence through Fitted Ensembles

Navid Kardan, Ankit Sharma, Kenneth O. Stanley

Deep neural networks are behind many of the recent successes in machine learning applications. However, these models can produce overconfident decisions while encountering out-of-d…

cs.SI2015

Predicting Small Group Accretion in Social Networks: A topology based incremental approach

Ankit Sharma, Xiaodong Feng, Kartik Singhal +2

Small Group evolution has been of central importance in social sciences and also in the industry for understanding dynamics of team formation. While most of research works studying…

cond-mat.mtrl-sci2023

Effective Phonon Dispersion of - (AlGa)O alloy semiconductor

Ankit Sharma, Animesh Datta, Uttam Singisetti

In this work, the Effective Phonon Dispersion of - (AlGa)O alloy is investigated using the Phonon unfolding formalism. To capture the true randomness of the…

cs.GT2011

Welfare and Profit Maximization with Production Costs

Avrim Blum, Anupam Gupta, Yishay Mansour +1

Combinatorial Auctions are a central problem in Algorithmic Mechanism Design: pricing and allocating goods to buyers with complex preferences in order to maximize some desired obje…

cs.LG2025

LightTopoGAT: Enhancing Graph Attention Networks with Topological Features for Efficient Graph Classification

Ankit Sharma, Sayan Roy Gupta

Graph Neural Networks have demonstrated significant success in graph classification tasks, yet they often require substantial computational resources and struggle to capture global…

cs.DS2014

Multiway Cut, Pairwise Realizable Distributions, and Descending Thresholds

Ankit Sharma, Jan Vondrák

We design new approximation algorithms for the Multiway Cut problem, improving the previously known factor of 1.32388 [Buchbinder et al., 2013]. We proceed in three steps. First, w…

cs.LG2025

Automated Detection and Analysis of Minor Deformations in Flat Walls Due to Railway Vibrations Using LiDAR and Machine Learning

Surjo Dey, Ankit Sharma, Hritu Raj +1

This study introduces an advanced methodology for automatically identifying minor deformations in flat walls caused by vibrations from nearby railway tracks. It leverages high-dens…

math.CO2024

Exploring Algorithmic Solutions for the Independent Roman Domination Problem in Graphs

Kaustav Paul, Ankit Sharma, Arti Pandey

Given a graph , a function is said to be a \emph{Roman Dominating function} if for every with , there exists a vertex such…

stat.ME2021

Hi-CI: Deep Causal Inference in High Dimensions

Ankit Sharma, Garima Gupta, Ranjitha Prasad +3

We address the problem of counterfactual regression using causal inference (CI) in observational studies consisting of high dimensional covariates and high cardinality treatments.…

cs.DM2024

Algorithmic Results for Weak Roman Domination Problem in Graphs

Kaustav Paul, Ankit Sharma, Arti Pandey

Consider a graph and a function . A vertex with is defined as \emph{undefended} by if it lacks adjacency to any vertex w…

cond-mat.supr-con2026

Quantitative imaging of Abrikosov vortices by scanning quantum magnetometry

Clemens Schäfermeier, Ankit Sharma, Christopher Kelvin von Grundherr +5

Understanding vortex matter in type-II superconductors is central to controlling dissipation and flux pinning in superconducting materials and devices. Here, we use cryogenic scann…

cs.CV2022

Near-Infrared Depth-Independent Image Dehazing using Haar Wavelets

Sumit Laha, Ankit Sharma, Shengnan Hu +1

We propose a fusion algorithm for haze removal that combines color information from an RGB image and edge information extracted from its corresponding NIR image using Haar wavelets…

cond-mat.mtrl-sci2018

Chemically stabilized epitaxial wurtzite-BN thin film

Badri Vishal, Rajendra Singh, Abhishek Chaturvedi +6

We report on the chemically stabilized epitaxial w-BN thin film grown on c-plane sapphire by pulsed laser deposition under slow kinetic condition. Traces of no other allotropes suc…

cond-mat.mtrl-sci2023

Electrical Characteristics of in situ Mg-doped beta-Ga2O3 Current-Blocking Layer for Vertical Devices

Sudipto Saha, Lingyu Meng, A F M Anhar Uddin Bhuiyan +4

The lack of p-type doping has impeded the development of vertical gallium oxide (Ga2O3) devices. Current blocking layers (CBL) using implanted deep acceptors has been used to demon…

cs.DS2009

An O(log(n)) Fully Dynamic Algorithm for Maximum matching in a tree

Manoj Gupta, Ankit Sharma

In this paper, we have developed a fully-dynamic algorithm for maintaining cardinality of maximum-matching in a tree using the construction of top-trees. The time complexities are…

cs.LG2019

Algorithms and Improved bounds for online learning under finite hypothesis class

Ankit Sharma, Late C. A. Murthy

Online learning is the process of answering a sequence of questions based on the correct answers to the previous questions. It is studied in many research areas such as game theory…

cs.DS2015

Ignorance is Almost Bliss: Near-Optimal Stochastic Matching With Few Queries

Avrim Blum, John P. Dickerson, Nika Haghtalab +3

The stochastic matching problem deals with finding a maximum matching in a graph whose edges are unknown but can be accessed via queries. This is a special case of stochastic -s…

cs.GT2014

Privacy-Preserving Public Information for Sequential Games

Avrim Blum, Jamie Morgenstern, Ankit Sharma +1

In settings with incomplete information, players can find it difficult to coordinate to find states with good social welfare. For example, in financial settings, if a collection of…

cs.LG2021

MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population

Ankit Sharma, Garima Gupta, Ranjitha Prasad +3

Performing inference on data obtained through observational studies is becoming extremely relevant due to the widespread availability of data in fields such as healthcare, educatio…

hep-th2008

Conformal Nonlinear Fluid Dynamics from Gravity in Arbitrary Dimensions

Sayantani Bhattacharyya, R. Loganayagam, Ipsita Mandal +2

We generalize recent work to construct a map from the conformal Navier Stokes equations with holographically determined transport coefficients, in d spacetime dimensions, to the se…

cs.IR2017

Leveraging web resources for keyword assignment to short text documents

Ayush Singhal, Ravindra Kasturi, Ankit Sharma +1

Assigning relevant keywords to documents is very important for efficient retrieval, clustering and management of the documents. Especially with the web corpus deluged with digital…

cs.LG2023

Automatic Detection of Signalling Behaviour from Assistance Dogs as they Forecast the Onset of Epileptic Seizures in Humans

Hitesh Raju, Ankit Sharma, Aoife Smeaton +1

Epilepsy or the occurrence of epileptic seizures, is one of the world's most well-known neurological disorders affecting millions of people. Seizures mostly occur due to non-coordi…

physics.optics2022

Nonlinear Optical Limiting with Hybrid Nanostructures of NiCo2O4 and Multiwall Carbon Nanotubes

Ankit Sharma, Pritam Khan, Mansi Pathak +2

Nonlinear optical (NLO) response in terms of reverse saturable absorption (RSA) has been exploited extensively for optical limiting. Here, we experimentally demonstrate that flower…

cs.NI2016

A Linearization Technique for Self-Interference Cancellation in Full-Duplex Radios

Arjun Nadh, Joseph Samuel, Ankit Sharma +2

The fundamental problem in the design of a full-duplex radio is the cancellation of the self-interference (SI) signal generated by the transmitter.Current techniques for suppressin…

stat.ME2021

MultiMBNN: Matched and Balanced Causal Inference with Neural Networks

Ankit Sharma, Garima Gupta, Ranjitha Prasad +3

Causal inference (CI) in observational studies has received a lot of attention in healthcare, education, ad attribution, policy evaluation, etc. Confounding is a typical hazard, wh…

physics.soc-ph2020

Effect of lockdown interventions to control the COVID-19 epidemic in India

Ankit Sharma, Shreyash Arya, Shashee Kumari +1

The pandemic caused by the novel Coronavirus SARS-CoV2 has been responsible for life threatening health complications, and extreme pressure on healthcare systems. While preventive…

eess.SP2020

Parallelized Instantaneous Velocity and Heading Estimation of Objects using Single Imaging Radar

Nihal Singh, Dibakar Sil, Ankit Sharma

The development of high-resolution imaging radars introduce a plethora of useful applications, particularly in the automotive sector. With increasing attention on active transport…

cond-mat.str-el2021

Origin of the quasi-quantized Hall effect in ZrTe5

Stanislaw Galeski, Toni Ehmcke, Rafal Wawrzynczak +24

The quantum Hall effect (QHE) is traditionally considered a purely two-dimensional (2D) phenomenon. Recently, a three-dimensional (3D) version of the QHE has been reported in the D…

eess.AS2020

Fast Griffin Lim based Waveform Generation Strategy for Text-to-Speech Synthesis

Ankit Sharma, Puneet Kumar, Vikas Maddukuri +5

The performance of text-to-speech (TTS) systems heavily depends on spectrogram to waveform generation, also known as the speech reconstruction phase. The time required for the same…

cs.SI2014

Predicting Multi-actor collaborations using Hypergraphs

Ankit Sharma, Jaideep Srivastava, Abhishek Chandra

Social networks are now ubiquitous and most of them contain interactions involving multiple actors (groups) like author collaborations, teams or emails in an organizations, etc. Hy…

cs.CV2019

Slim-CNN: A Light-Weight CNN for Face Attribute Prediction

Ankit Sharma, Hassan Foroosh

We introduce a computationally-efficient CNN micro-architecture Slim Module to design a lightweight deep neural network Slim-Net for face attribute prediction. Slim Modules are con…

physics.optics2021

Unveiling and engineering of third order optical nonlinearities in NiCoO nanoflowers

Ankit Sharma, Pritam Khan, Dipendranath Mandal +3

In this paper, we demonstrate NiCoO (NCO) as an efficient new nonlinear optical material with straightforward potential applications in optical limiting devices. We obtain…

cs.CV2026

Learning Long-Term Temporal Dependencies in Photovoltaic Power Output Prediction Through Multi-Horizon Forecasting

Sumit Laha, Ankit Sharma, Hassan Foroosh

The rapid global expansion of solar photovoltaic (PV) capacity-reaching a record 597 GW in 2024-highlights the urgent need for robust forecasting models to mitigate the grid instab…

cond-mat.mtrl-sci2022

Effective Electronic Structure of Monoclinic alloy semiconductor

Ankit Sharma, Uttam Singisetti

In this article, the electronic band structure alloy system is calculated with as the bulk crystal. The technique of band unfolding is impleme…