Fast and Efficient Circle Detection Schemes for Digital Image. - Koushik Chattopadhyay; Ayan Acharya; Aritra Banerjee; Joydeep Basu; Amit Konar (ICETET, 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)

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)

Tuning PID and FOPID Controllers using the Integral Time Absolute Error Criterion - Deepyaman Maiti; Ayan Acharya; Mithun Chakraborty; 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)

A Novel Parser Design Algorithm Based on Artificial Ants - Deepyaman Maiti; Ayan Acharya; Amit Konar; Ramadoss Janarthanan (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)

Extension of Max-Min Ant System with Exponential Pheromone Deposition Rule - Ayan Acharya; Deepyaman Maiti; Aritra Banerjee; Ramadoss Janarthanan; Amit Konar (CoRR, 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)

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)

Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization. - Ayan Acharya; Anand Seetharam; Abhishek Bhattacharyya; Mrinal K. Naskar (ICDCN, 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 (IJCNN, 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)

C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. - Ayan Acharya; Eduardo R. Hruschka; Joydeep Ghosh; Sreangsu Acharyya (MCS, 2011)

A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles. - Ayan Acharya; Eduardo R. Hruschka; Joydeep Ghosh (SocialCom/PASSAT, 2011)

Cluster ensembles. - Joydeep Ghosh; Ayan Acharya (WIREs Data Mining Knowl. Discov., 2011)

Real Time Car Detection and Tracking in Mobile Devices. - Ayan Acharya; Jangwon Lee; An Chen (ICCVE, 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)

Transfer Learning with Cluster Ensembles. - Ayan Acharya; Eduardo R. Hruschka; Joydeep Ghosh; Sreangsu Acharyya (ICML Unsupervised and Transfer Learning, 2012)

Cluster Ensembles: Theory and Applications. - Joydeep Ghosh; Ayan Acharya (Data Clustering: Algorithms and Applications, 2013)

Using Both Latent and Supervised Shared Topics for Multitask Learning. - Ayan Acharya; Aditya Rawal; Raymond J. Mooney; Eduardo R. Hruschka (ECML/PKDD (2), 2013)

Noisy Matrix Completion Using Alternating Minimization. - Suriya Gunasekar; Ayan Acharya; Neeraj Gaur; Joydeep Ghosh (ECML/PKDD (2), 2013)

Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. - Ayan Acharya; Joydeep Ghosh; Eduardo R. Hruschka; Jean-David Ruvini; Badrul Sarwar (SDM, 2013)

Active Multitask Learning Using Both Latent and Supervised Shared Topics. - Ayan Acharya; Raymond J. Mooney; Joydeep Ghosh (SDM, 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)

Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices. - Ayan Acharya; Joydeep Ghosh; Mingyuan Zhou (AISTATS, 2015)

Nonparametric Poisson Factorization Machine. - Avijit Saha; Ayan Acharya; Balaraman Ravindran; Joydeep Ghosh (ICDM, 2015)

Gamma Process Poisson Factorization for Joint Modeling of Network and Documents. - Ayan Acharya; Dean Teffer; Jette Henderson; Marcus Tyler; Mingyuan Zhou; Joydeep Ghosh (ECML/PKDD (1), 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)

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)

A Dual Markov Chain Topic Model for Dynamic Environments. - Ayan Acharya; Joydeep Ghosh; Mingyuan Zhou (KDD, 2018)

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)

Isometric Graph Neural Networks. - Matthew J. P. Walker; Bo Yan; Yiou Xiao; Yafei Wang; Ayan Acharya (CoRR, 2020)

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)

Optimizing for Member Value in an Edge Building Marketplace. - Ayan Acharya; Siyuan Gao; Ankan Saha; Borja Ocejo; Kinjal Basu 001; Sathiya Keerthi Selvaraj; Rahul Mazumder; Aman Gupta; Parag Agrawal (CIKM, 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 001; J. Kenneth Tay; Rupesh Gupta (KDD, 2023)

Promoting Inactive Members in Edge-Building Marketplace. - Ayan Acharya; Siyuan Gao; Borja Ocejo; Kinjal Basu 001; Ankan Saha; Sathiya Keerthi Selvaraj; Rahul Mazumder; Parag Agrawal; Aman Gupta (WWW (Companion Volume), 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)

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)

A Precise Characterization of SGD Stability Using Loss Surface Geometry. - Gregory Dexter; Borja Ocejo; S. Sathiya Keerthi; Aman Gupta; Ayan Acharya; Rajiv Khanna (ICLR, 2024)

Transaction Categorization with Relational Deep Learning in QuickBooks. - Kaiwen Dong; Padmaja Jonnalagedda; Xiang Gao; Ayan Acharya; Maria Kissa; Mauricio Flores; Nitesh V. Chawla; Kamalika Das (CoRR, 2025)

Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis. - Soumya Dutta; Faheem Nizar; Ahmad Amaan; Ayan Acharya (IEEE Trans. Vis. Comput. Graph., 2025)