news

Jul 28, 2025 I have joined Google DeepMind as a Student Researcher!
May 02, 2025 Our paper ‘LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation’ is accepted at International Conference on Machine Learning (ICML) 2025.
Jan 14, 2025 Our paper ‘Adapt then Unlearn: Exploring Parameter Space Semantics for Unlearning in Generative Adversarial Networks’ is now accepted at Transactions on Machine Learning Research (TMLR).
Dec 01, 2024 Serving as Reviewer for CVPR 2025, ICML 2025.
Nov 11, 2024 Our paper ‘SoLAD: Sampling over Latent Adapter for Few Shot Generation’ is now accepted at IEEE Signal Processing Letters.
Oct 01, 2024 Serving as Reviewer for ICLR 2025.
Aug 04, 2024 The following paper is now accepted at IEEE Wireless Communication Letters [h5-Index: 98, IF: 4.6]: A Lightweight \(\alpha-\mu\) Fading Environment based Localization towards Edge Implementation.
May 15, 2024 Serving as Reviewer for NeurIPS 2025.
May 13, 2024 Joined Adobe Research as a Research Ph.D. Intern for Summer 2024.
Apr 26, 2024 The following paper is now accepted at Conference on Uncertainity in Artificial Intelligence (UAI) 2024 [h5-Index: 50]: Bayesian Pseudo-Coresets via Contrastive Divergence.
Dec 15, 2023 The following paper is now accepted at IEEE Transaction on Network Science and Engineering [h5-Index: 62, IF: 6.6]: Bessel Function Mixture Model for Localization in Generalized \(\eta-\mu\) IoT Fading Environment.
Nov 13, 2023 The following paper is now accepted at Medical Image Analysis [h5-Index: 103, IF: 10.9]: Cycle Consistent Twin Energy-Based Models for Image-to-Image Translation.
Jan 21, 2023 The following two papers got accepted: (1) Few-shot Cross-domain Image generation via Inference-time Latent Code Learning at ICLR 2023 [h5-Index: 286] and (2) Minority Oversampling for Imbalanced data via Class-Preserving Regularised Autoencoders at AISTATS 2023 [h5-Index: 85]
Jun 12, 2022 Journal titled “FadeLoc: Smart Device Localization for Generalized \(\kappa-\mu\) Faded IoT Environment” accepted at IEEE Transaction on Signal Processing. [h5-Index: 99]
Aug 19, 2021 Journal titled “Towards Establishing a Research Lineage via Identification of Significant Citations” accepted at Special Issue of Quantitative Science Studies (QSS) on “Scientific Knowledge Graphs and Research Impact Assessment”.
Jan 08, 2021 Paper titled “Towards Establishing a Research Lineage via Identification of Significant Citations” accepted at 20th International Conference on Distributed Computing and Networking (ICDCN 2021). [h5-Index: 18]
Dec 23, 2020 Journal titled “Adaptive Mini-Batch Gradient Ascent based Localization for Indoor IoT Networks under Rayleigh Fading Conditions.” accepted at IEEE Internet of Things Journal. [IF: 9.936, h5-Index: 122]
Dec 05, 2020 Paper Accepted at 13th International Conference on COMmunication Systems & NETworkS. [h5-Index: 21]
Aug 05, 2020 Received acceptance to participate in the AI Summer School hosted by Google Research India.
May 04, 2020 Paper titled “Residual Neural Networks for Heterogeneous Smart Device Localization in IoT Networks” accepted at the 29th International Conference on Computer Communications and Networks (ICCCN 2020), Honolulu, Hawaii, USA [h5-Index: 28]
May 01, 2020 Made a RoadMap for Beginners to get started with Machine Learning. Thanks Nischal & Joshika for their Contribution in this.
Sep 18, 2018 Paper Accepted at 20th International Conference of Discrete Computing and Networking. [h5-Index: 18]