Ayan Acharya

According to our database, Ayan Acharya authored at least 41 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis.

Soumya Dutta, Faheem Nizar, Ahmad Amaan, Ayan Acharya

CoRR, 2024

A Precise Characterization of SGD Stability Using Loss Surface Geometry.

Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm.

Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi Selvaraj, Rahul Mazumder

CoRR, 2023

mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization.

Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder

CoRR, 2023

Promoting Inactive Members in Edge-Building Marketplace.

Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference.

Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Optimizing for Member Value in an Edge Building Marketplace.

Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization.

Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder

CoRR, 2022

2020

Isometric Graph Neural Networks.

Matthew J. P. Walker, Bo Yan, Yiou Xiao, Yafei Wang, Ayan Acharya

CoRR, 2020

2019

Combining clustering and active learning for the detection and learning of new image classes.

Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh

Neurocomputing, 2019

2018

A Dual Markov Chain Topic Model for Dynamic Environments.

Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

2015

A differential evolution algorithm to optimise the combination of classifier and cluster ensembles.

Luiz F. S. Coletta, Eduardo Raul Hruschka, Ayan Acharya, Joydeep Ghosh

Int. J. Bio Inspired Comput., 2015

Using metaheuristics to optimize the combination of classifier and cluster ensembles.

Luiz F. S. Coletta, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh

Integr. Comput. Aided Eng., 2015

Gamma Process Poisson Factorization for Joint Modeling of Network and Documents.

Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015

Nonparametric Poisson Factorization Machine.

Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices.

Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning.

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya

ACM Trans. Knowl. Discov. Data, 2014

Active Multitask Learning Using Both Latent and Supervised Shared Topics.

Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2013

Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning.

Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Noisy Matrix Completion Using Alternating Minimization.

Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Using Both Latent and Supervised Shared Topics for Multitask Learning.

Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Cluster Ensembles: Theory and Applications.

Joydeep Ghosh, Ayan Acharya

Proceedings of the Data Clustering: Algorithms and Applications, 2013

2012

Transfer Learning with Cluster Ensembles.

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya

Proceedings of the Unsupervised and Transfer Learning, 2012

An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya

CoRR, 2012

Real Time Car Detection and Tracking in Mobile Devices.

Ayan Acharya, Jangwon Lee, An Chen

Proceedings of the 2012 International Conference on Connected Vehicles and Expo, 2012

2011

Cluster ensembles.

Joydeep Ghosh, Ayan Acharya

WIREs Data Mining Knowl. Discov., 2011

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles.

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh

Proceedings of the PASSAT/SocialCom 2011, Privacy, 2011

C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers.

Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya

Proceedings of the Multiple Classifier Systems - 10th International Workshop, 2011

2009

A partly deterministic and partly stochastic scheme for the identification of fractional-order processes.

Deepyaman Maiti, Mithun Chakraborty, Ayan Acharya, Amit Konar

Int. J. Adv. Intell. Paradigms, 2009

A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects.

Madhumala Ghosh, Aruna Chakraborty, Ayan Acharya, Amit Konar, Bijaya K. Panigrahi

Proceedings of the International Joint Conference on Neural Networks, 2009

Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization.

Ayan Acharya, Anand Seetharam, Abhishek Bhattacharyya, Mrinal K. Naskar

Proceedings of the Distributed Computing and Networking, 10th International Conference, 2009

2008

Novel and improved methods of regular geometric shape recognition from digital image using artificial ants.

Ayan Acharya, Kaushik Chattopadhyay, Aritra Banerjee, Amit Konar

Int. J. Intell. Def. Support Syst., 2008

Extension of Ant System algorithms with exponential pheromone deposition rule for improved performance.

Ayan Acharya, Aritra Banerjee, Amit Konar, Lakhmi C. Jain

Int. J. Intell. Def. Support Syst., 2008

Extension of Max-Min Ant System with Exponential Pheromone Deposition Rule

Ayan Acharya, Deepyaman Maiti, Aritra Banerjee, Ramadoss Janarthanan, Amit Konar

CoRR, 2008

Complete Identification of a Dynamic Fractional Order System Under Non-ideal Conditions Using Fractional Differintegral Definitions

Deepyaman Maiti, Ayan Acharya, Ramadoss Janarthanan, Amit Konar

CoRR, 2008

A Novel Parser Design Algorithm Based on Artificial Ants

Deepyaman Maiti, Ayan Acharya, Amit Konar, Ramadoss Janarthanan

CoRR, 2008

Balancing Exploration and Exploitation by an Elitist Ant System with Exponential Pheromone Deposition Rule

Ayan Acharya, Deepyaman Maiti, Aritra Banerjee, Amit Konar

CoRR, 2008

Tuning PID and FOPID Controllers using the Integral Time Absolute Error Criterion

Deepyaman Maiti, Ayan Acharya, Mithun Chakraborty, Amit Konar, Ramadoss Janarthanan

CoRR, 2008

A Deterministic Model for Analyzing the Dynamics of Ant System Algorithm and Performance Amelioration through a New Pheromone Deposition Approach

Ayan Acharya, Deepyaman Maiti, Amit Konar, Ramadoss Janarthanan

CoRR, 2008

A Swarm Intelligence Based Scheme for Complete and Fault-tolerant Identification of a Dynamical Fractional Order Process

Deepyaman Maiti, Ayan Acharya, Amit Konar

CoRR, 2008

Fast and Efficient Circle Detection Schemes for Digital Image.

Koushik Chattopadhyay, Ayan Acharya, Aritra Banerjee, Joydeep Basu, Amit Konar

Proceedings of the First International Conference on Emerging Trends in Engineering and Technology, 2008