CONFERENCE PAPERS: Recent submissions

  • Approximation Schemes for Geometric Knapsack for Packing Spheres and Fat Objects 
    ACHARYA, PRITAM; Bhore, Sujoy; Gupta, Aaryan; Khan, Arindam; Mondal, Bratin; Wiese, Andreas (Leibniz International Proceedings in Informatics, LIPIcs, 2024-07)
    We study the geometric knapsack problem in which we are given a set of d-dimensional objects (each with associated profits) and the goal is to find the maximum profit subset that can be packed non-overlappingly into a given ...
  • Problems in NP Can Admit Double-Exponential Lower Bounds When Parameterized by Treewidth 
    Foucaud, Florent; Galby, Esther; Khazaliya, Liana; Li, Shaohua; Inerney, Fionn Mc; Sharma, Roohani; TALE, PRAFULLKUMAR (Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2024-07)
    Treewidth serves as an important parameter that, when bounded, yields tractability for a wide class of problems. For example, graph problems expressible in Monadic Second Order (MSO) logic and Quantified SAT or, more ...
  • Formalizing Giles Gardam’s Disproof of Kaplansky’s Unit Conjecture 
    Gadgil, Siddhartha; TADIPATRI, ANAND RAO (Association for Computing Machinery, 2024-01)
    We describe a formalization in Lean 4 of Giles Gardam's disproof of Kaplansky's Unit Conjecture. This makes use of a combination of deductive proving and formally verified computation, using the nature of Lean 4 as a ...
  • pSTarC: Pseudo Source Guided Target Clustering for Fully Test-Time Adaptation 
    Sreenivas, Manogna; CHAKRABARTY, GOIRIK; Biswas, Soma (IEEE, 2024-04)
    Test Time Adaptation (TTA) is a pivotal concept in machine learning, enabling models to perform well in real-world scenarios, where test data distribution differs from training. In this work, we propose a novel approach ...
  • Quantum Algorithms for Tensor-SVD 
    JOJO, JEZER; Khandelwal, Ankit; Chandra, M. Girish (IEEE, 2024-09)
    A promising area of applications for quantum computing is in linear algebra problems. In this work, we introduce two new quantum t-SVD (tensor-SVD) algorithms. The first algorithm is largely based on previous work that ...
  • Detection Of Malignant Cancerous Nuclei Using Quantum Hadamard Edge Detection Algorithm 
    Shahapure, Arsheyee; Gupta, Rajat; Bhole, Prathamesh; Losu, Vethonulu; KULKARNI, MADHURA; Banerjee, Anindita (IEEE, 2024-02)
    Cancer is a hazardous ailment, becoming even more ominous due to its capacity to remain unnoticed. The significance of cancer research lies in its role in enhancing both the detection and treatment of this disease, ultimately ...
  • Fault-Tolerance of the [[8, 1, 3]] Non-CSS Code 
    MAHESHWARI, PRANAV; Raina, Ankur (IEEE, 2024-07)
    We present a fault-tolerant [[8, 1, 3]] non-CSS quantum error correcting code and study its logical error rates. We modify Gottesman's encoding procedure for stabilizer codes to suit a class of non-CSS quantum codes. We ...
  • Digital Disruption in the Sustainable Age: The Role of ICT in Shaping ESG Initiatives 
    Kashyap, Samiksha; Agarwal, Bhakti; Tejasmayee, Pracheta; JINGER, HARSH; Rastogi, Shailesh (IEEE, 2024)
    Information and communication technology (ICT) has revolutionised the financial industry by making it technologically sound and efficient in communication, improving accessibility, customer service, and efficiency. The ...
  • Quantum-Enhanced Resilient Reinforcement Learning Using Causal Inference 
    SANKAR, NAMASI G.; Khandelwal, Ankit; Chandra, M Girish (IEEE, 2024-01)
    Deep Reinforcement Learning (DRL) is a sub-field of Machine Learning (ML) that combines reinforcement learning (RL) with deep learning techniques. DRL has showcased promising results in gaming environments and real-world ...
  • Novel Objective Function and Expectation Value Estimation Method for the Variational Quantum Singular Value Decomposition Algorithm 
    JOJO, JEZER; Khandelwal, Ankit; Chandra, M Girish (IEEE, 2024-01)
    In this work, we discuss two modifications that can be made to a known variational quantum singular value decomposition algorithm popular in the literature. The first is a change to the objective function which hints at ...
  • Computational study of electrochemical CO2 reduction on two-dimensional TiB2 monolayer 
    PATIL, DURVESH; Shukla, Aarti (AIP Publishing, 2024-08)
    The production of organic molecules from CO2 is extremely desirable from both an energy and environmental standpoint. High-performance catalysts are necessary to accomplish such a desirable outcome. In this study, CO2 ...
  • Constraints on Light Vector Gauge Boson from Gamma Ray Burst Observations 
    PODDAR, TANMAY KUMAR; GOSWAMI, SRUBABATI; MISHRA, ARVIND KUMAR (Springer Nature, 2024-07)
    The energy deposition due to the pair annihilation of neutrinos into electrons can energize events such as Gamma Ray Bursts (GRBs). The deposited energy can be increased or decreased with the choice of the compact star ...
  • Cosmic Ray Diurnal Variation over Two Decades Measured by the GRAPES-3 Muon Telescope 
    Zuberi, M.; SUBRAMANIAN, PRASAD et al. (Springer Nature, 2024-07)
    The Galactic cosmic ray particles in the inner heliosphere are convected outward by the solar wind while they diffuse into the inner heliosphere along the interplanetary magnetic field direction. A balance between the two ...
  • Monitoring the Upper Atmosphere and Interplanetary Magnetic Field Using Atmospheric Muons at GRAPES-3 
    PAUL, SUROJIT; ARUNBABU, K. P.; CHAKRABORTY, M.; GUPTA, S. K.; HARIHARAN, B.; HAYASHI, Y.; JAGADEESAN, P.; JAIN, A.; KAWAKAMI, S.; KOJIMA, H.; MOHANTY, P. K.; MURAKI, Y.; NAYAK, P. K.; NONAKA, T.; OSHIMA, A.; PATTANAIK, D.; RAMEEZ, M.; RAMESH, K.; REDDY, L. V.; SHIBATA, S.; SUBRAMANIAN, PRASAD; ZUBERI, M. (Springer Nature, 2024-07)
    Galactic cosmic rays are deflected by the Sun’s magnetic field, leading to significant energy-dependent temporal and spatial variations in their intensity. The muons observed at GRAPES-3 arise from extensive air showers ...
  • Charged Pion Energy Reconstruction in HGCAL TB Prototype Using Graph Neural Networks 
    ALPANA on behalf of the CMS collaboration (Springer Nature, 2024-07)
    The CMS Collaboration is preparing to replace its endcap calorimeters for the HL–LHC era with a high-granularity calorimeter (HGCAL). The HGCAL will have fine segmentation in both the transverse and longitudinal directions, ...
  • Modelling the possible archaeological past(s): Agent-based modelling of Harappan seal use and survival 
    GOKHALE, PALLAVEE; Ameri, Marta (CAA International, 2024-09)
    The Harappan civilization, also known as the Indus Valley Civilization, flourished in South Asia in the middle of the third millennium BCE. The early twentieth century excavations at Mohenjo-daro and Harappa are still the ...
  • Why are hydrodynamic theories applicable beyond the hydrodynamic regime? 
    Jaiswal, Sunil; Blaizot, Jean-Paul; BHALERAO, RAJEEV S.; Chen, Zenan; Jaiswal, Amaresh; Yan, Li (EDP Sciences, 2024-06)
    We present an alternative approach to deriving second-order nonconformal hydrodynamics from the relativistic Boltzmann equation. We demonstrate how constitutive relations for shear and bulk stresses can be transformed into ...
  • Parameterized Complexity of Biclique Contraction and Balanced Biclique Contraction 
    Krithika, R.; Malu, V. K. Kutty; Sharma, Roohani; TALE, PRAFULLKUMAR (Schloss Dagstuhl, 2023-12)
    A bipartite graph is called a biclique if it is a complete bipartite graph and a biclique is called a balanced biclique if it has equal number of vertices in both parts of its bipartition. In this work, we initiate the ...
  • Bhitarkanika Mangrove Species Change Detection Using Hyperspectral Remote Sensing and Field Survey 
    MATHAI, ABY K.; Mathew, Alex; Lakshmanan, Gnanappazham; Prasad, K. Arun (IEEE Xplore, 2024-02)
    This study aims to find the temporal changes in mangrove species present in Bhitarkanika Wildlife Sanctuary by utilizing Hyperion satellite images of 2008 and 2015 classified using spectral library of mangrove species and ...
  • Object Detection in Indian Food Platters using Transfer Learning with YOLOv4 
    Pandey, Deepanshu; PARMAR, PURVA; Toshniwal, Gauri; Goel, Mansi; Agrawal, Vishesh; Dhiman, Shivangi; Gupta, Lavanya; Bagler, Ganesh (IEEE, 2022-05)
    Object detection is a well-known problem in computer vision. Despite this, its usage and pervasiveness in the traditional Indian food dishes has been limited. Particularly, recognizing Indian food dishes present in a single ...

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