A hybrid classifier approach to multivariate sensor data for climate smart agriculture cyber-physical systems. - Ankur Pandey; Piyush Tiwary; Sudhir Kumar 002; Sajal K. Das 001 (ICDCN, 2019)

Residual Neural Networks for Heterogeneous Smart Device Localization in IoT Networks. - Pandey Pandey; Piyush Tiwary; Sudhir Kumar 002; Sajal K. Das 001 (ICCCN, 2020)

Differential d-Vectors for RSS based Localization in Dynamic IoT Networks. - Piyush Tiwary; Ankur Pandey; Sudhir Kumar 002 (COMSNETS, 2021)

Adaptive Mini-Batch Gradient-Ascent-Based Localization for Indoor IoT Networks Under Rayleigh Fading Conditions. - Ankur Pandey; Piyush Tiwary; Sudhir Kumar 002; Sajal K. Das 001 (IEEE Internet Things J., 2021)

Towards establishing a research lineage via identification of significant citations. - Tirthankar Ghosal; Piyush Tiwary; Robert M. Patton; Christopher G. Stahl (Quant. Sci. Stud., 2021)

FadeLoc: Smart Device Localization for Generalized κ-μ Faded IoT Environment. - Ankur Pandey; Piyush Tiwary; Sudhir Kumar 002; Sajal K. Das 001 (IEEE Trans. Signal Process., 2022)

Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders. - Arnab Kumar Mondal; Lakshya Singhal; Piyush Tiwary; Parag Singla; Prathosh AP (AISTATS, 2023)

Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning. - Arnab Kumar Mondal; Piyush Tiwary; Parag Singla; Prathosh AP (ICLR, 2023)

Constructing Bayesian Pseudo-Coresets using Contrastive Divergence. - Piyush Tiwary; Kumar Shubham; Vivek Kashyap; Prathosh A. P. (CoRR, 2023)

Adapt then Unlearn: Exploiting Parameter Space Semantics for Unlearning in Generative Adversarial Networks. - Piyush Tiwary; Atri Guha; Subhodip Panda; Prathosh A. P. (CoRR, 2023)

Bayesian Pseudo-Coresets via Contrastive Divergence. - Piyush Tiwary; Kumar Shubham; Vivek Kashyap; Prathosh A. P. (UAI, 2024)

SoLAD: Sampling Over Latent Adapter for Few Shot Generation. - Arnab Kumar Mondal; Piyush Tiwary; Parag Singla; Prathosh A. P. (IEEE Signal Process. Lett., 2024)

Bessel Function Mixture Model for Localization in Generalized $ eta text{-} mu$ IoT Fading Environment. - Ankur Pandey; Piyush Tiwary; Sudhir Kumar 002 (IEEE Trans. Netw. Sci. Eng., 2024)

Cycle consistent twin energy-based models for image-to-image translation. - Piyush Tiwary; Kinjawl Bhattacharyya; Prathosh A. P. (Medical Image Anal., 2024)

A Lightweight α-μ Fading Environment-Based Localization Toward Edge Implementation. - Gaurav Prasad; Piyush Tiwary; Ankur Pandey; Sudhir Kumar 002 (IEEE Wirel. Commun. Lett., 2024)

Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks. - Piyush Tiwary; Atri Guha; Subhodip Panda; Prathosh AP (Trans. Mach. Learn. Res., 2025)

LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation. - Piyush Tiwary; Kinjawl Bhattacharyya; Prathosh A. P. (CoRR, 2025)