Publications (61)
An aeroacoustic mechanism to explain universal behavior in hypersonic wake flow oscillations
Premika S. Thasu, Gaurav Kumar, Subrahmanyam Duvvuri
Recent experimental studies reveal that the near-wake region of a circular cylinder at hypersonic Mach numbers exhibits self-sustained flow oscillations. The oscillation frequency…
ClickGuard: A Trustworthy Adaptive Fusion Framework for Clickbait Detection
Chhavi Dhiman, Naman Chawla, Riya Dhami +2
The widespread use of clickbait headlines, crafted to mislead and maximize engagement, poses a significant challenge to online credibility. These headlines employ sensationalism, m…
Phonon Lifetimes and Thermal Conductivity of the Molecular Crystal -RDX
Gaurav Kumar, Francis G. VanGessel, Daniel C. Elton +1
The heat transfer properties of the organic molecular crystal -RDX were studied using three phonon-based thermal conductivity models. It was found that the widely used Peierls-…
A Novel Framework for Optimizing Gurney Flaps using RBF Neural Network and Cuckoo Search Algorithm
Aryan Tyagi, Paras Singh, Aryaman Rao +2
Enhancing aerodynamic efficiency is vital for optimizing aircraft performance and operational effectiveness. It enables greater speeds and reduced fuel consumption, leading to lowe…
Role of corner flow separation in unsteady dynamics of hypersonic flow over a double wedge geometry
Gaurav Kumar, Ashoke De
This study investigates the origin and sustenance of self induced oscillations of shock structures in a hypersonic flow over a double wedge configuration. Previously, various resea…
Learning Feature Weights using Reward Modeling for Denoising Parallel Corpora
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Large web-crawled corpora represent an excellent resource for improving the performance of Neural Machine Translation (NMT) systems across several language pairs. However, since th…
Learning Policies for Multilingual Training of Neural Machine Translation Systems
Gaurav Kumar, Philipp Koehn, Sanjeev Khudanpur
Low-resource Multilingual Neural Machine Translation (MNMT) is typically tasked with improving the translation performance on one or more language pairs with the aid of high-resour…
Dominant balance-based adaptive mesh refinement for incompressible fluid flows
Gaurav Kumar, Aditya G. Nair
This work introduces a novel adaptive mesh refinement (AMR) method that utilizes dominant balance analysis (DBA) for efficient and accurate grid adaptation in computational fluid d…
Entailed Opinion Matters: Improving the Fact-Checking Performance of Language Models by Relying on their Entailment Ability
Gaurav Kumar, Ayush Garg, Debajyoti Mazumder +3
Automated fact-checking has been a challenging task for the research community. Prior work has explored various strategies, such as end-to-end training, retrieval-augmented generat…
To Raise or Not To Raise: The Autonomous Learning Rate Question
Xiaomeng Dong, Tao Tan, Michael Potter +4
There is a parameter ubiquitous throughout the deep learning world: learning rate. There is likewise a ubiquitous question: what should that learning rate be? The true answer to th…
Small LLMs for Biomedical Claim Verification: Cost-Effective Fine-Tuning, Structural Dataset Shortcuts, and Cross-Domain Generalization
Gaurav Kumar
Large Language Models such as GPT-4o and GPT-5 achieve strong zero-shot performance on biomedical claim verification, but cost and opacity limit scalable use. We fine-tune three sm…
Computation offloading to hardware accelerators in Intel SGX and Gramine Library OS
Dmitrii Kuvaiskii, Gaurav Kumar, Mona Vij
The Intel Software Guard Extensions (SGX) technology enables applications to run in an isolated SGX enclave environment, with elevated confidentiality and integrity guarantees. Gra…
Perplexity-Homophily Index: Homophily through Diversity in Hypergraphs
Gaurav Kumar, Akrati Saxena, Chandrakala Meena
Real-world complex systems are often better modeled as hypergraphs, where edges represent group interactions involving multiple entities. Understanding and quantifying homophily (s…
An Empirical Exploration of Curriculum Learning for Neural Machine Translation
Xuan Zhang, Gaurav Kumar, Huda Khayrallah +6
Machine translation systems based on deep neural networks are expensive to train. Curriculum learning aims to address this issue by choosing the order in which samples are presente…
Non-Rascoe partitions and a rank parity function associated to the Rogers-Ramanujan partitions
Atul Dixit, Gaurav Kumar, Aviral Srivastava
We study the generating function of the excess number of Rogers-Ramanujan partitions with odd rank over those with even rank, and, using combinatorial and analytical techniques, sh…
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue
Gaurav Kumar, Rishabh Joshi, Jaspreet Singh +1
The problem of building a coherent and non-monotonous conversational agent with proper discourse and coverage is still an area of open research. Current architectures only take car…
InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
Babak Ehteshami Bejnordi, Gaurav Kumar, Amelie Royer +3
Jointly learning multiple tasks with a unified model can improve accuracy and data efficiency, but it faces the challenge of task interference, where optimizing one task objective…
Reinforcement Learning based Curriculum Optimization for Neural Machine Translation
Gaurav Kumar, George Foster, Colin Cherry +1
We consider the problem of making efficient use of heterogeneous training data in neural machine translation (NMT). Specifically, given a training dataset with a sentence-level fea…
Investigation of asymmetrically pitching airfoil at high reduced frequency
Mitesh Thakor, Gaurav Kumar, Debopam Das +1
The expanding application in Micro-Air Vehicles has encouraged many researchers to understand the unsteady flow around a flapping foil at a low Reynolds number. We numerically inve…
Predicting Rubisco:Linker Condensation from Titration in the Dilute Phase
Alex Payne-Dwyer, Gaurav Kumar, James Barrett +6
The condensation of Rubisco holoenzymes and linker proteins into 'pyrenoids', a crucial super-charger of photosynthesis in algae, is qualitatively understood in terms of 'sticker-a…
3-phonon scattering pathways for vibrational energy transfer in crystalline RDX
Gaurav Kumar, Francis G. VanGessel, Lynn B. Munday +1
A long-held belief is that shock energy induces initiation of an energetic material through an indirect energy up-pumping mechanism involving phonon scattering through doorway mode…
Commuting graph of non-abelian groups of order with center having elements
Dilpreet Kaur, Gaurav Kumar, Shivam Tiwari
Let be a group. The commuting graph of a group has a vertex set two vertices are connected with an edge if the corresponding elements commute in…
Paired and Unpaired Image to Image Translation using Generative Adversarial Networks
Gaurav Kumar, Soham Satyadharma, Harpreet Singh
Image to image translation is an active area of research in the field of computer vision, enabling the generation of new images with different styles, textures, or resolutions whil…
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig, Chris Dyer, Yoav Goldberg +22
We describe DyNet, a toolkit for implementing neural network models based on dynamic declaration of network structure. In the static declaration strategy that is used in toolkits l…
Homophily in Complex Networks: Measures, Models, and Applications
Akrati Saxena, Gaurav Kumar, Chandrakala Meena
Homophily, the tendency of individuals to connect with others who share similar attributes, is a defining feature of social networks. Understanding how groups interact, both within…
A Phonon Boltzmann Study of Microscale Thermal Transport in -RDX Cook-Off
Francis G. VanGessel, Gaurav Kumar, Daniel C. Elton +1
The microscale thermal transport properties of RDX are believed to be major factors in the initiation process. In this study we present a thorough examination of phonon propert…
Optimizing Data Augmentation Policy Through Random Unidimensional Search
Xiaomeng Dong, Michael Potter, Gaurav Kumar +3
It is no secret amongst deep learning researchers that finding the optimal data augmentation strategy during training can mean the difference between state-of-the-art performance a…
Quantum-Based Salp Swarm Algorithm Driven Design Optimization of Savonius Wind Turbine-Cylindrical Deflector System
Paras Singh, Vishal Jaiswal, Subhrajit Roy +3
Savonius turbines, prominent in small-scale wind turbine applications operating under low-speed conditions, encounter limitations due to opposing torque on the returning blade, imp…
Membrane budding driven by intra-cellular ESCRT-III filaments
Sk Ashif Akram, Gaurav Kumar, Anirban Sain
Exocytosis is a common transport mechanism via which cells transport out non-essential macro-molecules (cargo) into the extra cellular space. ESCRT-III proteins are known to help i…
Some identities of the sums-of-tails type
Atul Dixit, Gaurav Kumar, Aviral Srivastava
A new sums-of-tails identity involving two parameters and is obtained and is used to derive more results of similar type. One of Ramanujan's sums-of-tails identities from t…
Using of heterogeneous corpora for training of an ASR system
Jan Trmal, Gaurav Kumar, Vimal Manohar +3
The paper summarizes the development of the LVCSR system built as a part of the Pashto speech-translation system at the SCALE (Summer Camp for Applied Language Exploration) 2015 wo…
Hybrid 2D-QD MoS2 PbSe Quantum Dot Broadband Photodetectors with High-Sensitivity and Room-Temperature Operation at 2.5 μm
Biswajit Kundu, Onur Ãzdemir, Mariona Dalmases +2
Broadband infrared photodetectors have profound importance in diverse applications including security, gas sensing, bioimaging, spectroscopy for food quality, and recycling, just t…
Binary Multifunctional Ultrabroadband Self-Powered g-C3N4 /Si Heterojunction High-Speed Photodetector
Nisha Prakash, Gaurav Kumar, Manjri Singh +5
Compact optical detectors with fast binary photoswitching over a broad range of wavelength are essential as an interconnect for any light-based parallel, real-time computing. Despi…
A model for frequency scaling of flow oscillations in high-speed double cones
Gaurav Kumar, Vaisakh Sasidharan, Akshaya G. Kumara +1
Coherent small-amplitude unsteadiness of the shock wave and the separation region over a canonical double cone flow, termed in literature as oscillation-type unsteadiness, is exper…
Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification
Reno Kriz, João Sedoc, Marianna Apidianaki +4
Sentence simplification is the task of rewriting texts so they are easier to understand. Recent research has applied sequence-to-sequence (Seq2Seq) models to this task, focusing la…
SEEK: Semantic Evidence Extraction via Adaptive ChunKing for Multilingual Fact-Checking
Gaurav Kumar, Babu Kumar, Ayush Garg +2
Multilingual fact verification requires evidence that is both relevant and sufficiently complete for reliable factuality prediction. However, existing systems often rely on search…
B-DENSE: Branching For Dense Ensemble Network Supervision Efficiency
Cherish Puniani, Tushar Kumar, Arnav Bendre +2
Inspired by non-equilibrium thermodynamics, diffusion models have achieved state-of-the-art performance in generative modeling. However, their iterative sampling nature results in…
MultiCheck: Strengthening Web Trust with Unified Multimodal Fact Verification
Aditya Kishore, Gaurav Kumar, Jasabanta Patro
Misinformation on the web increasingly appears in multimodal forms, combining text, images, and OCR-rendered content in ways that amplify harm to public trust and vulnerable commun…
Low-threshold, highly stable colloidal quantum dot short-wave infrared laser enabled by suppression of trap-assisted Auger recombination
Nima Taghipour, Guy L. Whitworth, Andreas Othonos +5
Pb-chalcogenide colloidal quantum dots (CQDs) are attractive materials to be used as tuneable laser media across the infrared spectrum. However, excessive nonradiative Auger recomb…
The Rogers-Ramanujan dissection of a theta function
Atul Dixit, Gaurav Kumar
Page 27 of Ramanujan's Lost Notebook contains a beautiful identity which not only gives, as a special case, a famous modular relation between the Rogers-Ramanujan functions …
CFAT: Unleashing TriangularWindows for Image Super-resolution
Abhisek Ray, Gaurav Kumar, Maheshkumar H. Kolekar
Transformer-based models have revolutionized the field of image super-resolution (SR) by harnessing their inherent ability to capture complex contextual features. The overlapping r…
Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale
Chinmay Soni, Shivam Chourasia, Gaurav Kumar +1
Applying large, proprietary API-based language models to text-to-SQL tasks poses a significant industry challenge: reliance on massive, schema-heavy prompts results in prohibitive…
Ultrasensitive Self-powered large area planar GaN UV-photodetector using reduced graphene oxide electrodes
Nisha Prakash, Manjri Singh, Gaurav Kumar +5
A simplistic design of a self-powered UV-photodetector device based on hybrid r-GO/GaN is demonstrated. Under zero bias, the fabricated hybrid photodetector shows a photosensivity…
Investigation of flow structures in a turbulent separating flow using hybrid RANS-LES model
Gaurav Kumar, Ashoke De, Harish Gopalan
Hybrid Reynolds-averaged Navier Stokes large eddy simulation (RANS LES) methods have become popular for simulation of massively separated flows at high Reynolds numbers due to thei…
EinsteinPy: A Community Python Package for General Relativity
Shreyas Bapat, Ritwik Saha, Bhavya Bhatt +46
This paper presents EinsteinPy (version 0.3), a community-developed Python package for gravitational and relativistic astrophysics. Python is a free, easy to use a high-level progr…
Iterations of Meromorphic Functions involving Sine
Gaurav Kumar, M. Guru Prem Prasaad
In this article, the dynamics of a one-parameter family of functions , are studied. It shows the existence of parameters $0< λ_{1}< λ_…
Stabilizing two-dimensional turbulent Kolmogorov flow via selective modification of inviscid invariants
Gaurav Kumar, Aditya G. Nair
We stabilize two-dimensional turbulent Kolmogorov flow by selectively altering the time rate of change of inviscid invariants (energy and enstrophy) of the flow. This method has ea…
FastEstimator: A Deep Learning Library for Fast Prototyping and Productization
Xiaomeng Dong, Junpyo Hong, Hsi-Ming Chang +10
As the complexity of state-of-the-art deep learning models increases by the month, implementation, interpretation, and traceability become ever-more-burdensome challenges for AI pr…
TabPert: An Effective Platform for Tabular Perturbation
Nupur Jain, Vivek Gupta, Anshul Rai +1
To truly grasp reasoning ability, a Natural Language Inference model should be evaluated on counterfactual data. TabPert facilitates this by assisting in the generation of such cou…
Virtual Cells: From Conceptual Frameworks to Biomedical Applications
Saurabh Bhardwaj, Gaurav Kumar, Haochen Yang +5
The challenge of translating vast, multimodal biological data into predictive and mechanistic understanding of cellular function is a central theme in modern biology. Virtual cells…
Do Voters Get the Information They Want? Understanding Authentic Voter FAQs in the US and How to Improve for Informed Electoral Participation
Vipula Rawte, Deja N Scott, Gaurav Kumar +3
Accurate information is crucial for democracy as it empowers voters to make informed decisions about their representatives and keeping them accountable. In the US, state election c…
Machine learning framework to predict the performance of lipid nanoparticles for nucleic acid delivery
Gaurav Kumar, Arezoo M. Ardekani
Lipid nanoparticles (LNPs) are highly effective carriers for gene therapies, including mRNA and siRNA delivery, due to their ability to transport nucleic acids across biological me…
Dirichlet-Prior Shaping: Guiding Expert Specialization in Upcycled MoEs
Leyla Mirvakhabova, Babak Ehteshami Bejnordi, Gaurav Kumar +3
Upcycling pre-trained dense models into sparse Mixture-of-Experts (MoEs) efficiently increases model capacity but often suffers from poor expert specialization due to naive weight…
On -Hurewicz and -Hurewicz Topological spaces
Gaurav Kumar, Sumit Mittal, Brij K. Tyagi
In this paper, we introduced -Hurewicz -Hurewicz properties in a topological space and investigated their relationship with other selective covering properties. We…
Prediction of Separation Induced Transition on Thick Airfoil Using Nonlinear URANS Based Turbulence Model
Alok Mishra, Gaurav Kumar, Ashoke De
Most of the turbulence models in practice are based on the assumption of a linear relation between Reynolds stresses and mean flow strain rates which generally provides a good appr…
Model-First Reasoning LLM Agents: Reducing Hallucinations through Explicit Problem Modeling
Annu Rana, Gaurav Kumar
Large Language Models (LLMs) often struggle with complex multi-step planning tasks, showing high rates of constraint violations and inconsistent solutions. Existing strategies such…
Solving Physics Puzzles by Reasoning about Paths
Augustin Harter, Andrew Melnik, Gaurav Kumar +3
We propose a new deep learning model for goal-driven tasks that require intuitive physical reasoning and intervention in the scene to achieve a desired end goal. Its modular struct…
Tubulation pattern of membrane vesicles coated with bio filaments
Gaurav Kumar, N. Ramakrishnan, Anirban Sain
Narrow membrane tubes are commonly pulled out from the surface of phospholipid vesicles using forces applied either through laser or magnetic tweezers or through the action of proc…
Composable NLP Workflows for BERT-based Ranking and QA System
Gaurav Kumar, Murali Mohana Krishna Dandu
There has been a lot of progress towards building NLP models that scale to multiple tasks. However, real-world systems contain multiple components and it is tedious to handle cross…
Curriculum Learning for Domain Adaptation in Neural Machine Translation
Xuan Zhang, Pamela Shapiro, Gaurav Kumar +3
We introduce a curriculum learning approach to adapt generic neural machine translation models to a specific domain. Samples are grouped by their similarities to the domain of inte…
Automated Vigilance State Classification in Rodents Using Machine Learning and Feature Engineering
Sankalp Jajee, Gaurav Kumar, Homayoun Valafar
Preclinical sleep research remains constrained by labor intensive, manual vigilance state classification and inter rater variability, limiting throughput and reproducibility. This…