A5002469541- Cosmology and Gravitation Theories
- Black Holes and Theoretical Physics
- Bayesian Modeling and Causal Inference
- Machine Learning and Algorithms
- Topic Modeling
- Speech Recognition and Synthesis
- Speech and Audio Processing
- AI-based Problem Solving and Planning
- Artificial Intelligence in Games
- Metaheuristic Optimization Algorithms Research
- Advanced Image and Video Retrieval Techniques
- Biomedical Text Mining and Ontologies
- Natural Language Processing Techniques
- Error Correcting Code Techniques
- Relativity and Gravitational Theory
- Noncommutative and Quantum Gravity Theories
- Music and Audio Processing
- Reinforcement Learning in Robotics
- Astrophysical Phenomena and Observations
- Advanced Graph Neural Networks
- Cloud Computing and Resource Management
- Graph Theory and Algorithms
- IoT and Edge/Fog Computing
- Data Management and Algorithms
- Advanced Database Systems and Queries
Indian Institute of Technology Kanpur
2004-2025
Sri Sathya Sai Institute of Higher Learning
2024
Google (United States)
2020-2024
DeepMind (United Kingdom)
2024
Indian Institute of Technology Madras
2020-2024
Galgotias University
2024
Bihar Agricultural University
2024
University of Alabama at Birmingham
2024
Guru Ghasidas Vishwavidyalaya
2023
University at Buffalo, State University of New York
2020
Cloud computing model separates usage from ownership in terms of control on resource provisioning. Resources the cloud are projected as a service and realized using various models like IaaS, PaaS SaaS. In IaaS model, end users get to use VM whose capacity they can specify but not placement specific host or with which other VMs it be co-hosted. Typically, decisions happen based goals minimizing number physical hosts support given set by satisfying each requirement. However, role VMM I/O...
Abstract This study investigates the universal relation between Goon and Penco (GP) proposed within frameworks of Power–Maxwell, Power–Yang–Mills, Maxwell–Power–Yang–Mills black holes. We begin by analyzing these holes’ thermodynamics then calculating perturbed metric thermodynamic quantities perturbing action. Our objective is to examine consistency GP across various Power-law terms in field equations, aiming gain deeper insights into nature The connection remains robust different Power...
Abstract This paper investigates the massive gauge field within spacetime context from a $$\mathbb {Z}_2$$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:msub> <mml:mi>Z</mml:mi> <mml:mn>2</mml:mn> </mml:msub> </mml:math> quotient of constant curvature black hole. We investigate how matter field’s back reaction affects geometry, considering perturbations in metric up to first order. The stress-energy tensor’s expectation value can be precisely calculated by evaluating its...
In this paper, the information paradox on lower-dimensional Gauss-Bonnet gravity known as a three-dimensional EGB black hole is studied using quantum extremal island approach. For that, we connect an auxiliary flat bath system to timelike singularity spacetime and estimate entropy of hawking radiation in its asymptotic regions when weak. The addition areas entanglement wedge causes obey Page curve, shown. surface, or boundary, located outside horizon. This yields time-independent equation...
This work proposes a new learning-to-search benchmark and uses AI to discover mathematical knowledge related an open conjecture of Erdos (1975) in extremal graph theory. The problem is find graphs with given size (number nodes) that maximize the number edges without having 3- or 4-cycles. We formulate this as sequential decision-making compare AlphaZero, neural network-guided tree search, tabu heuristic local search method. Using either method, by introducing curriculum---jump-starting for...
Recent advancements in black hole thermodynamics have introduced corrections to elucidate the relationship between entropy and extremality bound of holes. Traditionally, this has been studied context holes characterized by Bekenstein-Hawking entropy. However, study extends investigation encompass non-extensive generalizations We introduce a minor constant correction, denoted as $(\varepsilon)$, examine universal relations for charged Anti-de Sitter (AdS) hole. Our findings indicate that...
Realization of cloud computing has been possible due to availability virtualization technologies on commodity platforms. Measuring resource usage the virtualized servers is difficult because fact that performance counters used for accounting are not virtualized. Hence, many prevalent like Xen, VMware, KVM etc., use host specific CPU monitoring, which coarse grained. In this paper, we present a monitoring tool based machines, measures overhead incurred by hypervisor behalf virtual machine...
Recent work has begun exploring the value of domain abstractions in Monte-Carlo Tree Search (MCTS) algorithms for probabilistic planning. These automatically aggregate symmetric search nodes (states or state-action pairs) saving valuable planning time. Existing alternate between two phases: (1) abstraction computation forcomputing node aggregations, and (2) modified MCTS that use nodes. We believe these do not achieve full potential because disjoint phases – e.g., it can take a while to...
Urban planners, authorities, and numerous additional players have to deal with challenges related the rapid urbanization process its effect on human mobility transport dynamics. Hence, optimize transportation systems represents a unique occasion for municipalities. Indeed, quality of is linked economic growth, by decreasing traffic congestion, life inhabitants drastically enhanced. Most state-of-the-art solutions in specific small zones cities (e.g., single intersections) cannot be used...
Barrow proposed that quantum gravity effects might introduce fractal corrections to the area of event horizon black holes. The law gets modified as $S \propto A^{1+\Delta/2}$, with $0\leq\Delta\leq 1$. It was so far unclear whether this assumption could lead meaningful theories beyond general relativity. In paper, we argue is indeed case. particular, assuming $\Delta$ be a radial function, show hypothesis, together Jacobson's approach can generate non-trivial theories.
Abstract Barrow proposed that quantum gravity effects might introduce fractal corrections to the area of event horizon black holes. The law gets modified as , with . It was so far unclear whether this assumption could lead meaningful theories beyond general relativity. In paper, we argue is indeed case. particular, assuming Δ be a radial function, show hypothesis, together Jacobson's approach can generate non-trivial theories.
In this paper, we conduct a comprehensive investigation into the weak cosmic censorship conjecture (WCCC) for Reissner-Nordstr\"om (R-N) AdS black holes that are influenced by Perfect Fluid Dark Matter (PFDM). Our study is framed within context of Conformal Field Theory (CFT) thermodynamics. We delve principles energy flux and mass-energy equivalence to explore interplay between gravity (WGC) WCCC. analysis begins examining interaction incoming outgoing fluxes, which induces changes in...
A major challenge in applying machine learning to automated theorem proving is the scarcity of training data, which a key ingredient successful deep models. To tackle this problem, we propose an approach that relies on with synthetic theorems, generated from set axioms. We show such theorems can be used train prover and learned transfers successfully human-generated theorems. demonstrate trained exclusively solve substantial fraction problems TPTP, benchmark dataset compare state-of-the-art...
Modern Automatic Speech Recognition (ASR) technology has evolved to identify the speech spoken by native speakers of a language very well. However, identification non-native continues be major challenge for it. In this work, we first spell out key requirements creating well-curated database samples in accents training and testing robust ASR systems. We then introduce AccentDB, one such that contains 4 Indian-English collected us, compilation from native-English, metropolitan accent. also...
In this paper we consider a massive vector field in the background of space-time obtained by certain ${\mathbb{Z}}_{2}$ quotient Banados-Teitelboim-Zanelli black hole. We analyze backreaction matter on geometry up to first order metric perturbation. The expectation value stress-energy tensor can be computed exactly considering its pullback onto covering space. Upon suitable choice boundary condition around noncontractible cycle manifold it is possible obtain average energy null geodesic...
Raga is the essence of Indian Classical Music that used in its composition, performance, improvisation and organization. Automatic identification underlying raga an song has applications areas like music recommendation indexing. Unlike previous approaches to this problem which rely heavily on feature engineering, paper, we attempt develop a Convolutional Neural Network (CNN) can learn distinguishing characteristics from predominant pitch values song. CNNs are class deep, feedforward...
An important approach for efficient inference in probabilistic graphical models exploits symmetries among objects the domain. Symmetric variables (states) are collapsed into meta-variables (meta-states) and algorithms run over lifted model instead of flat one. Our paper extends existing definitions symmetry by introducing novel notion contextual symmetry. Two states that not globally symmetric, can be contextually symmetric under some specific assignment to a subset variables, referred as...
A formal description of the compositionality neural networks is associated directly with grammar-structure objects it seeks to represent. This specifies kind components that make up an object, and also configurations they are allowed be in. In other words, can described as a parse-tree its -- structure seen candidate for building connection-patterns among neurons in networks. We present grammar convolutional capsule shows how enforce such structures, while CNNs do not. Specifically, we show...