71 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Aalto UniversityFI5 papers
- Jawaharlal Nehru UniversityIN4 papers
- Centre for Studies in Social Sciences CalcuttaIN2 papers
- Cornell TechUS2 papers
- Indian Institute of Technology MadrasIN2 papers
- Institute of Mathematical SciencesIN2 papers
- Michigan State UniversityUS2 papers
- Saha Institute of Nuclear PhysicsIN2 papers
- Arizona State UniversityUS1 paper
- Ashoka UniversityIN1 paper
- Centre interuniversitaire de recherche sur les réseaux d'entreprise, la logistique et le transportCA1 paper
- Cornell UniversityUS1 paper
31 papers
The Twist Decomposition of Serial Robots Under Lower-Mobility Tasks
Luc Baron, Damien Chablat
This paper introduces a twist decomposition framework for serial manipulators performing lower mobility tasks. Rather than relying on Jacobian null-space projections, the method se…
Predictive Hotspot Mapping for Data-driven Crime Prediction
Karthik Sriram, Ankur Sinha, Suvashis Choudhary
Predictive hotspot mapping is an important problem in crime prediction and control. An accurate hotspot mapping helps in appropriately targeting the available resources to manage c…
FinBloom: Knowledge Grounding Large Language Model with Real-time Financial Data
Ankur Sinha, Chaitanya Agarwal, Pekka Malo
Large language models (LLMs) excel at generating human-like responses but often struggle with interactive tasks that require access to real-time information. This limitation poses…
A Linear Programming Enhanced Genetic Algorithm for Hyperparameter Tuning in Machine Learning
Ankur Sinha, Paritosh Pankaj
In this paper, we formulate the hyperparameter tuning problem in machine learning as a bilevel program. The bilevel program is solved using a micro genetic algorithm that is enhanc…
SEntFiN 1.0: Entity-Aware Sentiment Analysis for Financial News
Ankur Sinha, Satishwar Kedas, Rishu Kumar +1
Fine-grained financial sentiment analysis on news headlines is a challenging task requiring human-annotated datasets to achieve high performance. Limited studies have tried to addr…
An Abstract Model for Branch and Cut
Aleksandr M. Kazachkov, Pierre Le Bodic, Sriram Sankaranarayanan
Branch and cut is the dominant paradigm for solving a wide range of mathematical programming problems -- linear or nonlinear -- combining efficient search (via branch and bound) an…
Global dynamics of GDP and trade
Abhin Kakkad, Arnab K. Ray
We use the logistic equation to model the dynamics of the GDP and the trade of the six countries with the highest GDP in the world, namely, USA, China, Japan, Germany, UK and India…
Fairness over time in dynamic resource allocation with an application in Healthcare
Andrea Lodi, Philippe Olivier, Gilles Pesant +1
Decision making problems are typically concerned with maximizing efficiency. In contrast, we address problems where there are multiple stakeholders and a centralized decision maker…
Distress propagation on production networks: Coarse-graining and modularity of linkages
Ashish Kumar, Anindya S. Chakrabarti, Anirban Chakraborti +1
Distress propagation occurs in connected networks, its rate and extent being dependent on network topology. To study this, we choose economic production networks as a paradigm. An…
When Nash Meets Stackelberg
Margarida Carvalho, Gabriele Dragotto, Felipe Feijoo +2
This article introduces a class of games among players (), namely, a class of simultaneous non-cooperative games where the players solve sequential Stac…
Rapid Node Cardinality Estimation in Heterogeneous Machine-to-Machine Networks
Sachin Kadam, Sesha Vivek Y., P. Hari Prasad +2
Machine-to-Machine (M2M) networks are an emerging technology with applications in various fields, including smart grids, healthcare, vehicular telematics and smart cities. Heteroge…
A new perspective from a Dirichlet model for forecasting outstanding liabilities of nonlife insurers
Karthik Sriram, Peng Shi
Forecasting the outstanding claim liabilities to set adequate reserves is critical for a nonlife insurer's solvency. Chain-Ladder and Bornhuetter-Ferguson are two prominent actuari…
Copula estimation for nonsynchronous financial data
Arnab Chakrabarti, Rituparna Sen
Copula is a powerful tool to model multivariate data. We propose the modelling of intraday financial returns of multiple assets through copula. The problem originates due to the as…
Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children
Sayan Putatunda
Accurate classification of self-care problems in children who suffer from physical and motor affliction is an important problem in the healthcare industry. This is a difficult and…
Sentiment Analysis of Financial News Articles using Performance Indicators
Srikumar Krishnamoorthy
Mining financial text documents and understanding the sentiments of individual investors, institutions and markets is an important and challenging problem in the literature. Curren…
A comparative study of top-k high utility itemset mining methods
Srikumar Krishnamoorthy
High Utility Itemset (HUI) mining problem is one of the important problems in the data mining literature. The problem offers greater flexibility to a decision maker to incorporate…
Emergence of frustration signals systemic risk
Chandrashekar Kuyyamudi, Anindya S. Chakrabarti, Sitabhra Sinha
We show that the emergence of systemic risk in complex systems can be understood from the evolution of functional networks representing interactions inferred from fluctuation corre…
Multi-layered Network Structure: Relationship Between Financial and Macroeconomic Dynamics
Kiran Sharma, Anindya S. Chakrabarti, Anirban Chakraborti
We demonstrate using multi-layered networks, the existence of an empirical linkage between the dynamics of the financial network constructed from the market indices and the macroec…
A novel sandwich algorithm for empirical Bayes analysis of rank data
Arnab Kumar Laha, Somak Dutta, Vivekananda Roy
Rank data arises frequently in marketing, finance, organizational behavior, and psychology. Most analysis of rank data reported in the literature assumes the presence of one or mor…
A Review on Bilevel Optimization: From Classical to Evolutionary Approaches and Applications
Ankur Sinha, Pekka Malo, Kalyanmoy Deb
Bilevel optimization is defined as a mathematical program, where an optimization problem contains another optimization problem as a constraint. These problems have received signifi…
Emergence of Distributed Coordination in the Kolkata Paise Restaurant Problem with Finite Information
Diptesh Ghosh, Anindya S. Chakrabarti
In this paper, we study a large-scale distributed coordination problem and propose efficient adaptive strategies to solve the problem. The basic problem is to allocate finite numbe…
Optimal Management of Naturally Regenerating Uneven-aged Forests
Ankur Sinha, Janne Rämö, Pekka Malo +2
A shift from even-aged forest management to uneven-aged management practices leads to a problem rather different from the existing straightforward practice that follows a rotation…
Self-organization in a distributed coordination game through heuristic rules
S. Agarwal, D. Ghosh, A. S. Chakrabarti
In this paper we consider a distributed coordination game played by a large number of agents with finite information sets, which characterizes emergence of a single dominant attrib…
Quantifying invariant features of within-group inequality in consumption across groups
Anindya S. Chakrabarti, Arnab Chatterjee, Tushar K. Nandi +2
We study unit-level expenditure on consumption across multiple countries and multiple years, in order to extract invariant features of consumption distribution. We show that the bu…