Regularized Deep Convolutional Generative Adversarial Network. - Adarsh Prasad Behera; Sayli Godage; Shekhar Verma; Manish Kumar 001 (CVIP (3), 2020)

Data visualization through non linear dimensionality reduction using feature based Ricci flow embedding. - Adarsh Prasad Behera; Jagriti Singh; Shekhar Verma; Manish Kumar 001 (Multim. Tools Appl., 2022)

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices. - Adarsh Prasad Behera; Roberto Morabito; Joerg Widmer; Jaya Prakash Champati (MobiCom, 2023)

The Case for Hierarchical Deep Learning Inference at the Network Edge. - Ghina Al-Atat; Andrea Fresa; Adarsh Prasad Behera; Vishnu Narayanan Moothedath; James Gross; Jaya Prakash Champati (NetAISys@MobiSys, 2023)

Curvature Regularized Similarity Based Ricci Flow Embedding. - Adarsh Prasad Behera; Puja Rani; Shekhar Verma; Manish Kumar 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Strike off removal in Indic scripts with transfer learning. - Shivangi Nigam; Adarsh Prasad Behera; Manas Gogoi; Shekhar Verma; P. Nagabhushan (Neural Comput. Appl., 2023)

Hierarchical Inference at the Edge: A Batch Processing Approach. - Afroditi Letsioue; Vishnu Narayanan Moothedath; Adarsh Prasad Behera; Jaya Prakash Champatie; James Gross (SEC, 2024)

Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical. - Adarsh Prasad Behera; Paulius Daubaris; Iñaki Bravo; José Gallego; Roberto Morabito; Joerg Widmer; Jaya Prakash Varma Champati (CoRR, 2024)

CNN-Based Metrics for Performance Evaluation of Generative Adversarial Networks. - Adarsh Prasad Behera; Satya Prakash; Siddhant Khanna; Shivangi Nigam; Shekhar Verma (IEEE Trans. Artif. Intell., 2024)

Deformity removal from handwritten text documents using variable cycle GAN. - Shivangi Nigam; Adarsh Prasad Behera; Shekhar Verma; P. Nagabhushan (Int. J. Document Anal. Recognit., 2024)

Intensity Based Event Detection in Sensor Based IoT. - Anubhav Shivhare; Adarsh Prasad Behera; Manish Kumar 001 (IEEE Trans. Netw. Sci. Eng., 2025)

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques. - Adarsh Prasad Behera; Jaya Prakash Champati; Roberto Morabito; Sasu Tarkoma; James Gross (CoRR, 2025)