Ayan Acharya

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 17

Top Topics

Surface Geometry

Nonparametric Bayesian

Cluster Ensemble

Top Venues

ACM Trans. Knowl. Discov. Data

Publications

Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
A Precise Characterization of SGD Stability Using Loss Surface Geometry. ICLR (2024)
Soumya Dutta, Faheem Nizar, Ahmad Amaan, Ayan Acharya
Visual Analysis of Prediction Uncertainty in Neural Networks for Deep Image Synthesis. CoRR (2024)
Gregory Dexter, Borja Ocejo, S. Sathiya Keerthi, Aman Gupta, Ayan Acharya, Rajiv Khanna
A Precise Characterization of SGD Stability Using Loss Surface Geometry. CoRR (2024)
Kayhan Behdin, Qingquan Song, Aman Gupta, Ayan Acharya, David Durfee, Borja Ocejo, S. Sathiya Keerthi, Rahul Mazumder
mSAM: Micro-Batch-Averaged Sharpness-Aware Minimization. CoRR (2023)
Kayhan Behdin, Ayan Acharya, Aman Gupta, Sathiya Keerthi Selvaraj, Rahul Mazumder
QuantEase: Optimization-based Quantization for Language Models - An Efficient and Intuitive Algorithm. CoRR (2023)
Aman Gupta, S. Sathiya Keerthi, Ayan Acharya, Miao Cheng, Borja Ocejo Elizondo, Rohan Ramanath, Rahul Mazumder, Kinjal Basu, J. Kenneth Tay, Rupesh Gupta
Practical Design of Performant Recommender Systems using Large-scale Linear Programming-based Global Inference. KDD (2023)
Ayan Acharya, Siyuan Gao, Borja Ocejo, Kinjal Basu, Ankan Saha, Sathiya Keerthi Selvaraj, Rahul Mazumder, Parag Agrawal, Aman Gupta
Promoting Inactive Members in Edge-Building Marketplace. WWW (Companion Volume) (2023)
Ayan Acharya, Siyuan Gao, Ankan Saha, Borja Ocejo, Kinjal Basu, Sathiya Keerthi Selvaraj, Rahul Mazumder, Aman Gupta, Parag Agrawal
Optimizing for Member Value in an Edge Building Marketplace. CIKM (2023)
Kayhan Behdin, Qingquan Song, Aman Gupta, David Durfee, Ayan Acharya, S. Sathiya Keerthi, Rahul Mazumder
Improved Deep Neural Network Generalization Using m-Sharpness-Aware Minimization. CoRR (2022)
Matthew J. P. Walker, Bo Yan, Yiou Xiao, Yafei Wang, Ayan Acharya
Isometric Graph Neural Networks. CoRR (2020)
Luiz F. S. Coletta, Moacir Ponti, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh
Combining clustering and active learning for the detection and learning of new image classes. Neurocomputing 358 (2019)
Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
A Dual Markov Chain Topic Model for Dynamic Environments. KDD (2018)
Luiz F. S. Coletta, Eduardo Raul Hruschka, Ayan Acharya, Joydeep Ghosh
A differential evolution algorithm to optimise the combination of classifier and cluster ensembles. Int. J. Bio Inspired Comput. 7 (2) (2015)
Avijit Saha, Ayan Acharya, Balaraman Ravindran, Joydeep Ghosh
Nonparametric Poisson Factorization Machine. ICDM (2015)
Luiz F. S. Coletta, Eduardo R. Hruschka, Ayan Acharya, Joydeep Ghosh
Using metaheuristics to optimize the combination of classifier and cluster ensembles. Integr. Comput. Aided Eng. 22 (3) (2015)
Ayan Acharya, Joydeep Ghosh, Mingyuan Zhou
Nonparametric Bayesian Factor Analysis for Dynamic Count Matrices. AISTATS (2015)
Ayan Acharya, Dean Teffer, Jette Henderson, Marcus Tyler, Mingyuan Zhou, Joydeep Ghosh
Gamma Process Poisson Factorization for Joint Modeling of Network and Documents. ECML/PKDD (1) (2015)
Ayan Acharya, Raymond J. Mooney, Joydeep Ghosh
Active Multitask Learning Using Both Latent and Supervised Shared Topics. SDM (2014)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
An Optimization Framework for Combining Ensembles of Classifiers and Clusterers with Applications to Nontransductive Semisupervised Learning and Transfer Learning. ACM Trans. Knowl. Discov. Data 9 (1) (2014)
Ayan Acharya, Joydeep Ghosh, Eduardo R. Hruschka, Jean-David Ruvini, Badrul Sarwar
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning. SDM (2013)
Suriya Gunasekar, Ayan Acharya, Neeraj Gaur, Joydeep Ghosh
Noisy Matrix Completion Using Alternating Minimization. ECML/PKDD (2) (2013)
Ayan Acharya, Aditya Rawal, Raymond J. Mooney, Eduardo R. Hruschka
Using Both Latent and Supervised Shared Topics for Multitask Learning. ECML/PKDD (2) (2013)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles CoRR (2012)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Badrul Sarwar, Jean-David Ruvini
Probabilistic Combination of Classifier and Cluster Ensembles for Non-transductive Learning CoRR (2012)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
Transfer Learning with Cluster Ensembles. ICML Unsupervised and Transfer Learning (2012)
Ayan Acharya, Jangwon Lee, An Chen
Real Time Car Detection and Tracking in Mobile Devices. ICCVE (2012)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
An Optimization Framework for Semi-Supervised and Transfer Learning using Multiple Classifiers and Clusterers CoRR (2012)
Joydeep Ghosh, Ayan Acharya
Cluster ensembles. WIREs Data Mining Knowl. Discov. 1 (4) (2011)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh
A Privacy-Aware Bayesian Approach for Combining Classifier and Cluster Ensembles. SocialCom/PASSAT (2011)
Ayan Acharya, Eduardo R. Hruschka, Joydeep Ghosh, Sreangsu Acharyya
C 3E: A Framework for Combining Ensembles of Classifiers and Clusterers. MCS (2011)
Ayan Acharya, Anand Seetharam, Abhishek Bhattacharyya, Mrinal K. Naskar
Balancing Energy Dissipation in Data Gathering Wireless Sensor Networks Using Ant Colony Optimization. ICDCN (2009)
Deepyaman Maiti, Mithun Chakraborty, Ayan Acharya, Amit Konar
A partly deterministic and partly stochastic scheme for the identification of fractional-order processes. Int. J. Adv. Intell. Paradigms 1 (3) (2009)
Madhumala Ghosh, Aruna Chakraborty, Ayan Acharya, Amit Konar, Bijaya K. Panigrahi
A recurrent neural model for parameter estimation of mixed emotions from facial expressions of the subjects. IJCNN (2009)
Ayan Acharya, Aritra Banerjee, Amit Konar, Lakhmi C. Jain
Extension of Ant System algorithms with exponential pheromone deposition rule for improved performance. Int. J. Intell. Def. Support Syst. 1 (4) (2008)
Deepyaman Maiti, Ayan Acharya, Mithun Chakraborty, Amit Konar, Ramadoss Janarthanan
Tuning PID and FOPID Controllers using the Integral Time Absolute Error Criterion CoRR (2008)
Ayan Acharya, Deepyaman Maiti, Aritra Banerjee, Ramadoss Janarthanan, Amit Konar
Extension of Max-Min Ant System with Exponential Pheromone Deposition Rule CoRR (2008)
Koushik Chattopadhyay, Ayan Acharya, Aritra Banerjee, Joydeep Basu, Amit Konar
Fast and Efficient Circle Detection Schemes for Digital Image. ICETET (2008)
Deepyaman Maiti, Ayan Acharya, Amit Konar, Ramadoss Janarthanan
A Novel Parser Design Algorithm Based on Artificial Ants CoRR (2008)
Ayan Acharya, Deepyaman Maiti, Amit Konar, Ramadoss Janarthanan
A Deterministic Model for Analyzing the Dynamics of Ant System Algorithm and Performance Amelioration through a New Pheromone Deposition Approach CoRR (2008)
Deepyaman Maiti, Ayan Acharya, Amit Konar
A Swarm Intelligence Based Scheme for Complete and Fault-tolerant Identification of a Dynamical Fractional Order Process CoRR (2008)
Deepyaman Maiti, Ayan Acharya, Ramadoss Janarthanan, Amit Konar
Complete Identification of a Dynamic Fractional Order System Under Non-ideal Conditions Using Fractional Differintegral Definitions CoRR (2008)
Ayan Acharya, Kaushik Chattopadhyay, Aritra Banerjee, Amit Konar
Novel and improved methods of regular geometric shape recognition from digital image using artificial ants. Int. J. Intell. Def. Support Syst. 1 (4) (2008)
Ayan Acharya, Deepyaman Maiti, Aritra Banerjee, Amit Konar
Balancing Exploration and Exploitation by an Elitist Ant System with Exponential Pheromone Deposition Rule CoRR (2008)