Publications (70)
Thermodynamics of one and two-qubit nonequilibrium heat engines running between squeezed thermal reservoirs
Ashutosh Kumar, Trilochan Bagarti, Sourabh Lahiri +1
Quantum heat engines form an active field of research due to their potential applications. There are several phenomena that are unique to the quantum regime, some of which are know…
Is there evidence for exponential quantum advantage in quantum chemistry?
Seunghoon Lee, Joonho Lee, Huanchen Zhai +15
The idea to use quantum mechanical devices to simulate other quantum systems is commonly ascribed to Feynman. Since the original suggestion, concrete proposals have appeared for si…
InstAP: Instance-Aware Vision-Language Pre-Train for Spatial-Temporal Understanding
Ashutosh Kumar, Rajat Saini, Jingjing Pan +5
Current vision-language pre-training (VLP) paradigms excel at global scene understanding but struggle with instance-level reasoning due to global-only supervision. We introduce Ins…
Explicitly correlated coupled cluster method for accurate treatment of open-shell molecules with hundreds of atoms
Ashutosh Kumar, Frank Neese, Edward F. Valeev
We present a near-linear scaling formulation of the explicitly-correlated coupled-cluster singles and doubles with perturbative triples method (CCSD(T)) f…
Structure-Property Correlations in Sb, Ge, and Ga Doped AlFeB for Magnetocaloric Applications
R. Preyadarshini, S. Kavita, Ashutosh Kumar +1
This study investigates the effects of Sb, Ge, and Ga doping in AlFeB on magnetic and magneto-caloric properties. Samples of AlFeB and AlFeMB (M…
HypER: Hyperbolic Echo State Networks for Capturing Stretch-and-Fold Dynamics in Chaotic Flows
Pradeep Singh, Sutirtha Ghosh, Ashutosh Kumar +2
Forecasting chaotic dynamics beyond a few Lyapunov times is difficult because infinitesimal errors grow exponentially. Existing Echo State Networks (ESNs) mitigate this growth but…
A Methodology-Oriented Study of Catastrophic Forgetting in Incremental Deep Neural Networks
Ashutosh Kumar, Sonali Agarwal, D Jude Hemanth
Human being and different species of animals having the skills to gather, transferring knowledge, processing, fine-tune and generating information throughout their lifetime. The ab…
Magnetic and Electrical Properties of high-entropy rare-earth manganites
Ashutosh Kumar, David Bérardan, Diana Dragoe +4
Detailed investigations of structural, magnetic and electronic transport properties of hole-doped high-entropy rare-earth manganites are presented. The high-entropy samples (LaNdPr…
Quantum simulation of molecular response properties
Ashutosh Kumar, Ayush Asthana, Vibin Abraham +6
Accurate modeling of the response of molecular systems to an external electromagnetic field is challenging on classical computers, especially in the regime of strong electronic cor…
TrajTok: Learning Trajectory Tokens enables better Video Understanding
Chenhao Zheng, Jieyu Zhang, Jianing Zhang +6
Tokenization in video models, typically through patchification, generates an excessive and redundant number of tokens. This severely limits video efficiency and scalability. While…
Computing molecular excited states on a D-Wave quantum annealer
Alexander Teplukhin, Brian K. Kendrick, Susan M. Mniszewski +6
The possibility of using quantum computers for electronic structure calculations has opened up a promising avenue for computational chemistry. Towards this direction, numerous algo…
CaST-Bench: Benchmarking Causal Chain-Grounded Spatio-Temporal Reasoning for Video Question Answering
Mingfang Zhang, Jingjing Pan, Ashutosh Kumar +7
Cause-and-effect reasoning in video is a significant challenge for Vision-Language Models (VLMs), as it requires going beyond surface-level perception to a deeper understanding of…
MoonMetaSync: Lunar Image Registration Analysis
Ashutosh Kumar, Sarthak Kaushal, Shiv Vignesh Murthy
This paper compares scale-invariant (SIFT) and scale-variant (ORB) feature detection methods, alongside our novel feature detector, IntFeat, specifically applied to lunar imagery.…
Thermoelectric properties of high-entropy wolframite oxide: (CoCuNiFeZn)GaWO
Ashutosh Kumar, Adrien Moll, Mouhamad Navid Mouhamadsiradjoudine +3
In this report, the synthesis of high-entropy wolframite oxide (CoCuNiFeZn)GaWO through standard solid-state route followed by spark plasma sintering (SPS) and thei…
When do complex-valued neural networks help? A study of representation, geometry, and optimization
Ashutosh Kumar
Complex-valued Neural Networks (CVNNs) are often motivated by domains where information is naturally encoded in magnitude and phase. Yet complex-valued inputs alone do not determin…
Emergence of Dynamic Cooperativity in the Stochastic Kinetics of Fluctuating Enzymes
Ashutosh Kumar, Sambarta Chatterjee, Mintu Nandi +1
Dynamic cooperativity in monomeric enzymes is characterized in terms of a non-Michaelis-Menten kinetic behaviour. The latter is believed to be associated with mechanisms that inclu…
Magnetism in LaSrMnCoO ()
Ashutosh Kumar, Himanshu Sharma, C. V. Tomy +1
We study the structural and magnetic properties of LaSrMnCoO (). Rietveld refinement of X-ray Diffraction (XRD) pattern suggests ph…
Parallel versus off-pathway Michaelis-Menten mechanism for single-enzyme kinetics of a fluctuating enzyme
Ashutosh Kumar, Hiranmay Maity, Arti Dua
Recent fluorescence spectroscopy measurements of the turnover time distribution of single-enzyme turnover kinetics of -galactosidase provide evidence of Michaelis-Menten kineti…
Mutually Exclusive Multiclass Lesion Segmentation in Neuroimaging: Binary-Guided Weak Supervision with Inter-Class Orthogonality
Ashutosh Kumar, Vivek Dhamale, Vaanathi Sundaresan
Weakly supervised segmentation of co-occurring neuroimaging lesion subclasses remains challenging due to overlapping activations, noisy pseudo-labels, and the absence of explicit i…
Thermoelectric Properties of (1-x)LaCoOLaSrMnO Composite
Ashutosh Kumar, Karuna Kumari, B. Jayachandran +2
We report the thermoelectric (TE) properties of (1-x)LaCoO3.xLa0.7Sr0.3MnO3 (0 < x < 0.10) composite in a temperature range 320-800 K. Addition of La0.7Sr0.3MnO3 to LaCoO3 in small…
Improved Thermoelectric Properties in (1-x)LaCoO3/(x)La0.7Sr0.3CoO3 Composite
Ashutosh Kumar, D. Sivaprahasam, Ajay D. Thakur
A high Seebeck coefficient (S), large electrical conductivity (Ï), and reduced thermal conductivity (κ) are required to achieve a high figure-of-merit (zT) in an ideal thermoelec…
Electron-Hole Pair Generation in SiC High-Temperature Alpha Particle Detectors
Timothy R. Garcia, Ashutosh Kumar, Benjamin T. Reinke +2
We demonstrate alpha-particle detection in an n-type 4H-SiC Schottky diode detector up to an unprecedented temperature of 500 °C using an Am-241 disc source. The measured spectra…
Hierarchical Prompting Taxonomy: A Universal Evaluation Framework for Large Language Models Aligned with Human Cognitive Principles
Devichand Budagam, Ashutosh Kumar, Mahsa Khoshnoodi +3
Assessing the effectiveness of large language models (LLMs) in performing different tasks is crucial for understanding their strengths and weaknesses. This paper presents Hierarchi…
Moonshine: Distilling Game Content Generators into Steerable Generative Models
Yuhe Nie, Michael Middleton, Tim Merino +4
Procedural Content Generation via Machine Learning (PCGML) has enhanced game content creation, yet challenges in controllability and limited training data persist. This study addre…
Supersaturated ideals
Ashutosh Kumar, Dilip Raghavan
A -ideal on a set is supersaturated if for every family of -positive sets with , there exists a countable se…
On some variants of the club principle
Ashutosh Kumar, Saharon Shelah
We study some asymptotic variants of the club principle. Along the way, we construct some forcings and use them to separate several of these principles
TextNCA: Neural Cellular Automata for Language Modeling via Hierarchical Local Attention
Avni Mittal, Avinash Anand, Ashutosh Kumar +7
Can a strictly local, iterated, weight-shared computation primitive support language modelling, and which of those three properties actually drives the model's behaviour? We define…
Perceptual Piercing: Human Visual Cue-based Object Detection in Low Visibility Conditions
Ashutosh Kumar
This study proposes a novel deep learning framework inspired by atmospheric scattering and human visual cortex mechanisms to enhance object detection under poor visibility scenario…
Thermoelectric properties of high-entropy rare-earth cobaltates
Ashutosh Kumar, Diana Dragoe, David Bérardan +1
High-entropy concept introduced with a promising paradigm to obtain exotic physical properties has motivated us to explore the thermoelectric properties of Sr-substituted high-entr…
Growth and characterization of GaN/Ga2O3 Nanowire Heterostructures for Ultraviolet Optoelectronics
Edgars Butanovs, Eriks Dipans, Martins Zubkins +10
Ultraviolet-range GaN/b-Ga2O3 heterostructures were fabricated and investigated in both planar and nanowire geometries using pulsed laser deposition and reactive magnetron sputteri…
Comment on "Canonical transcorrelated theory with projected Slater-type geminals" [J. Chem. Phys. 136, 084107 (2012)]
Conner Masteran, Ashutosh Kumar, Nakul Teke +3
This Comment identifies errors in the formalism/implementation reported in Ref. 1 and discusses some aspects of that work that were not fully specified in the original publication.…
Generative or Discriminative? Revisiting Text Classification in the Era of Transformers
Siva Rajesh Kasa, Karan Gupta, Sumegh Roychowdhury +7
The comparison between discriminative and generative classifiers has intrigued researchers since Efron's seminal analysis of logistic regression versus discriminant analysis. While…
Road Rutting Detection using Deep Learning on Images
Poonam Kumari Saha, Deeksha Arya, Ashutosh Kumar +2
Road rutting is a severe road distress that can cause premature failure of road incurring early and costly maintenance costs. Research on road damage detection using image processi…
Structural and Thermoelectric Properties of AlFeMB (M=Ag, Ni, Sb, Ga, and Ge) Intermetallic Borides
D. Sivaprahasam, R. Preyadarshini, Ashutosh Kumar
AlFeB, a ternary transition metal boride doped with Ag, Ni, Sb, Ga, and Ge was investigated for the phase constituents, microstructure, and thermoelectric properties. The p…
Flexible PDMS/LaSrMnO/MWCNT Composite Thin Films for Multifunctional Temperature and Magnetic Sensing Electronic Skin
Jimlee Patowary, G. Suresh, Jitendra Kumar +1
The development of multifunctional electronic skin (e-skin) requires materials that combine mechanical flexibility with responsiveness to multiple stimuli. In this work, a flexible…
WTS: A Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding
Quan Kong, Yuki Kawana, Rajat Saini +8
In this paper, we address the challenge of fine-grained video event understanding in traffic scenarios, vital for autonomous driving and safety. Traditional datasets focus on drive…
The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes
Avinash Anand, Mahisha Ramesh, Avni Mittal +8
Reasoning has become central to how Large Language Models (LLMs) are evaluated and interpreted, spanning Chain-of-Thought (CoT), mathematical problem-solving, multi-hop question an…
Spinel Ferrite-Based Materials for Electrochemical Applications: Synthesis, Applications, and Future Perspectives
Sakhi Tiwari, Ashish Dubey, Pragyanand Prajapati +3
Spinel ferrites have shown wide range of applications in various fields, including supercapacitors, Li-ion batteries, water splitting, chemical sensors, catalytic activity, high-fr…
Thermoelectric properties of Sb doped AlFeB
Duraisamy Sivaprahasam, Ashutosh Kumar, Babu Jayachandran +1
In this work, thermoelectric properties of AlFeB compound were investigated over a temperature range from 300\,K to 773\,K. AlFeB compound was produ…
Self-Driving Negotiator: An interactive, verifiable benchmark for social negotiation and theory of mind under hidden intent
Ashutosh Kumar
Autonomous driving is full of tiny social negotiations: a driver presses forward, another yields, a pedestrian fakes toward the curb, or a lane vehicle chooses whether to open a me…
eCommerceGAN : A Generative Adversarial Network for E-commerce
Ashutosh Kumar, Arijit Biswas, Subhajit Sanyal
E-commerce companies such as Amazon, Alibaba and Flipkart process billions of orders every year. However, these orders represent only a small fraction of all plausible orders. Expl…
Synergistic effect of workfunction and acoustic impedance mismatch for improved thermoelectric performance in GeTe/WC composite
Ashutosh Kumar, Preeti Bhumla, Artur Kosonowski +4
The preparation of composite materials is promising for concurrent optimization of electrical and thermal transport properties to realize an improved thermoelectric (TE) performanc…
Thermodynamic origin of medium-entropy stabilization in multicomponent rock-salt oxides
Supriya Ghosal, Swapan Pati, Ashutosh Kumar
High entropy oxides are commonly associated with high configurational entropy ( 1.61R) corresponding to five equimolar cations occupying a crystallographic sublatti…
From Fog to Failure: The Unintended Consequences of Dehazing on Object Detection in Clear Images
Ashutosh Kumar, Aman Chadha
This study explores the challenges of integrating human visual cue-based dehazing into object detection, given the selective nature of human perception. While human vision adapts d…
Dynamics and Computational Principles of Echo State Networks: A Mathematical Perspective
Pradeep Singh, Ashutosh Kumar, Sutirtha Ghosh +2
Reservoir computing (RC) represents a class of state-space models (SSMs) characterized by a fixed state transition mechanism (the reservoir) and a flexible readout layer that maps…
The Ethics of Interaction: Mitigating Security Threats in LLMs
Ashutosh Kumar, Shiv Vignesh Murthy, Sagarika Singh +1
This paper comprehensively explores the ethical challenges arising from security threats to Large Language Models (LLMs). These intricate digital repositories are increasingly inte…
Syntax-guided Controlled Generation of Paraphrases
Ashutosh Kumar, Kabir Ahuja, Raghuram Vadapalli +1
Given a sentence (e.g., "I like mangoes") and a constraint (e.g., sentiment flip), the goal of controlled text generation is to produce a sentence that adapts the input sentence to…
Effect of crystal field engineering and Fermi level optimization on thermoelectric properties of GeTe: Experimental investigation and theoretical insight
Ashutosh Kumar, Preeti Bhumla, D. Sivaprahasam +2
This study shows a method of enhancing the thermoelectric properties of GeTe-based materials by Ti and Bi co-doping on cation sites along with self-doping with Ge via simultaneous…
Quantum simulation of electronic structure with a transcorrelated Hamiltonian: improved accuracy with a smaller footprint on the quantum computer
Mario Motta, Tanvi P. Gujarati, Julia E. Rice +6
Quantum simulations of electronic structure with a transformed Hamiltonian that includes some electron correlation effects are demonstrated. The transcorrelated Hamiltonian used in…
Vertical GaN Devices: Process and Reliability
Shuzhen You, Karen Geens, Matteo Borga +14
This paper reviews recent progress and key challenges in process and reliability for high-performance vertical GaN transistors and diodes, focusing on the 200 mm CMOS-compatible te…
Colossal Seebeck coefficient in Aurivillius Phase-Perovskite Oxide Composite
Ashutosh Kumar, D. Sivaprahasam, Ajay D. Thakur
We propose an inexpensive scalable approach for achieving extremely high values of Seebeck coefficient () by exploiting the natural superlattice structure in Aurivillius phase…
Two and three-state quantum heat engines with stochastic resetting
Ashutosh Kumar, Sourabh Lahiri, Trilochan Bagarti +1
Quantum heat engines have undergone extensive studies over the last two decades. Simultaneously, the studies of the applications of stochastic resetting in various fields are on th…
Quantum self-consistent equation-of-motion method for computing molecular excitation energies, ionization potentials, and electron affinities on a quantum computer
Ayush Asthana, Ashutosh Kumar, Vibin Abraham +8
Near-term quantum computers are expected to facilitate material and chemical research through accurate molecular simulations. Several developments have already shown that accurate…
Tailored Thermal and Mechanical Performance of Biodegradable PLA-P(VDF-TrFE) Polymer Blends
G Suresh, B. Satyanarayana, C. Thirmal +4
The development of polymer blends has emerged as a strategic approach for designing multifunctional materials with enhanced tailored characteristics. Current work investigates and…
Novel entropy-stabilized fluorite oxides with multifunctional properties
Ashutosh Kumar, David Bérardan, Francois Brisset +2
Development of new high-entropy oxides having configurational entropy dominating the phase stability has become a hot topic since the discovery of rock salt structure entropy-stabi…
Thermal conductivity of PbTe-CoSb3 bulk polycrystalline composite: the role of microstructure and interface thermal resistance
Artur Kosonowski, Ashutosh Kumar, Taras Parashchuk +2
Systematic experimental and theoretical research on the role of microstructure and interface thermal resistance on the thermal conductivity of the PbTe-CoSb3 bulk polycrystalline c…
Configurational Entropy-Driven Phase Stability and Thermal Transport in Rock-Salt High-Entropy Oxides
Ashutosh Kumar, Adrien Moll, Jitendra Kumar +3
High-entropy oxides (HEOs) offer a unique platform for exploring the thermodynamic interaction between configurational entropy and enthalpy in stabilizing complex solid solutions.…
Electrical and Thermal transport studies of Sr and Mn co-substituted NdCoO3
Ashutosh Kumar
Oxide thermoelectrics are exciting due to their chemical and thermal stability at high temperatures. However, the efficacy of these materials are limited by poor figure of merit (z…
Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
Miles Stanley, Soumyajit Datta, Ashutosh Kumar +1
A significant gap exists in datasets regarding post-COVID-19 vaccination experiences, particularly ``vaccine buyer's remorse''. Understanding the prevalence and nature of vaccine r…
Thermodynamics of one and two-qubit quantum refrigerators interacting with squeezed baths: a comparative study
Ashutosh Kumar, Sourabh Lahiri
We investigate the nonequilibrium refrigeration of one and two-qubit systems in a squeezed thermal bath. We characterize the performance of one and two-qubit refrigerators in the p…
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks
Ashutosh Kumar, Aditya Joshi
While fine-tuning pre-trained models for downstream classification is the conventional paradigm in NLP, often task-specific nuances may not get captured in the resultant models. Sp…
Transients generate memory and break hyperbolicity in stochastic enzymatic networks
Ashutosh Kumar, R. Adhikari, Arti Dua
The hyperbolic dependence of catalytic rate on substrate concentration is a classical result in enzyme kinetics, quantified by the celebrated Michaelis-Menten equation. The ubiquit…
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
Avoiding Rational Distances
Ashutosh Kumar
We show that for any set of reals X there is a subset Y such X and Y have same Lebesgue outer measure and the distance between any two distinct points in Y is irrational.
Effect of interface resistance on thermoelectric properties in (1-x)LaSrCoMnO/(x)WC composite
Ashutosh Kumar, Krzysztof T. Wojciechowski
In this study, the synergistic effect of the particle size of the dispersed phase and the interface thermal resistance (R) between the phases on the phonon thermal conducti…
Extreme Sensitivity of Magnetic Properties on the Synthesis Routes in LaSrMnO
Ashutosh Kumar, Himanshu Sharma, C. V. Tomy +1
LaSrMnO polycrystalline samples have been prepared using different synthesis routes. X-ray Diffraction (XRD) confirms that the samples are of single phase with…
Effective Thermal Conductivity of SrBiTiO-LaSrMnO Oxide composite: Role of Particle Size and Interface Thermal Resistance
Ashutosh Kumar, Artur Kosonowski, Piotr Wyzga1 +1
We present a novel approach to reduce the thermal conductivity () in thermoelectric composite materials using acoustic impedance mismatch and the Debye model. Also, the correla…
IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding
Sankalp KJ, Ashutosh Kumar, Laxmaan Balaji +4
Known by more than 1.5 billion people in the Indian subcontinent, Indic languages present unique challenges and opportunities for natural language processing (NLP) research due to…
Accurate quantum simulation of molecular ground and excited states with a transcorrelated Hamiltonian
Ashutosh Kumar, Ayush Asthana, Conner Masteran +5
NISQ era devices suffer from a number of challenges like limited qubit connectivity, short coherence times and sizable gate error rates. Thus, quantum algorithms are desired that r…
Broadband excitation by method of double sweep
Navin Khaneja, Ashutosh Kumar
The paper describes the design of broadband excitation pulses in high resolution NMR by method of double sweep. We first show the design of a pulse sequence that produces broadband…