Ankita Shukla - RankMe

61 papers A* 1A 2B 3C 1Misc 1Journal 39Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PathMoE: Interpretable Multimodal Interaction Experts for Pediatric Brain Tumor Classification. CoRR Jian Yu, Joakim Nguyen, Jinrui Fang, Awais Naeem, Zeyuan Cao, Sanjay Krishnan, Nicholas Konz, Tianlong Chen, Chandra Krishnan, Hairong Wang, Edward Castillo, Ying Ding, Ankita Shukla
2025	J	`jnl`	Ground Reaction Force Estimation via Time-Aware Knowledge Distillation. IEEE Internet Things J. Eun Som Jeon, Sinjini Mitra, Jisoo Lee, Omik M. Save, Ankita Shukla, Hyunglae Lee, Pavan K. Turaga
2025	J	`jnl`	Ground Reaction Force Estimation via Time-aware Knowledge Distillation. CoRR Eun Som Jeon, Sinjini Mitra, Jisoo Lee, Omik M. Save, Ankita Shukla, Hyunglae Lee, Pavan K. Turaga
2025	J	`jnl`	Intra-class Patch Swap for Self-Distillation. CoRR Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2025	J	`jnl`	Intra-class patch swap for self-distillation. Neurocomputing Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2025	C	`conf`	Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds. ICMLA Gunner Stone, Youngsook Choi, Alireza Tavakkoli, Ankita Shukla
2025	J	`jnl`	Point-RTD: Replaced Token Denoising for Pretraining Transformer Models on Point Clouds. CoRR Gunner Stone, Youngsook Choi, Alireza Tavakkoli, Ankita Shukla
2025	J	`jnl`	Polynomial Implicit Neural Framework for Promoting Shape Awareness in Generative Models. Int. J. Comput. Vis. Utkarsh Nath, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga
2024	—	`conf`	On the impact of pre-training datasets for matching dendritic identifiers using residual nets. AI-SIPM Baaz Jhaj, Ankita Shukla, Pavan K. Turaga, Michael N. Kozicki
2024	J	`jnl`	Orthogonality and graph divergence losses promote disentanglement in generative models. Frontiers Comput. Sci. Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan K. Turaga
2024	J	`jnl`	Robustness of topological persistence in knowledge distillation for wearable sensor data. EPJ Data Sci. Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Hyunglae Lee, Pavan K. Turaga
2024	J	`jnl`	Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
2024	J	`jnl`	Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
2023	J	`jnl`	Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
2023	—	`conf`	Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. CVPR Workshops Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2023	J	`jnl`	Leveraging Angular Distributions for Improved Knowledge Distillation. CoRR Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga
2023	J	`jnl`	Leveraging angular distributions for improved knowledge distillation. Neurocomputing Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan K. Turaga
2023	A*	`conf`	Polynomial Implicit Neural Representations For Large Diverse Datasets. CVPR Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2023	J	`jnl`	Polynomial Implicit Neural Representations For Large Diverse Datasets. CoRR Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2023	—	`conf`	Scene Graph Driven Text-Prompt Generation for Image Inpainting. CVPR Workshops Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga
2023	A	`conf`	Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. WACV Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2022	J	`jnl`	Deep Geometric Moment. CoRR Rajhans Singh, Ankita Shukla, Pavan K. Turaga
2022	J	`jnl`	Machine-Learning Approach for Automatic Detection of Wild Beluga Whales from Hand-Held Camera Pictures. Sensors Voncarlos M. Araújo, Ankita Shukla, Clément Chion, Sébastien Gambs, Robert Michaud
2022	J	`jnl`	Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga
2022	J	`jnl`	Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan K. Turaga
2022	—	`conf`	Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
2022	J	`jnl`	Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. CoRR Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan K. Turaga
2021	J	`jnl`	An adaptive spectral graph wavelet method for PDEs on networks. Adv. Comput. Math. Mani Mehra, Ankita Shukla, Günter Leugering
2021	J	`jnl`	Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. CoRR Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga
2021	J	`jnl`	Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga
2021	J	`jnl`	Structure based inference of functional single nucleotide polymorphism and its role in TGFβ1 allied colorectal cancer (CRC). Int. J. Bioinform. Res. Appl. Ankita Shukla, Tiratha Raj Singh
2020	J	`jnl`	GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR Ankita Shukla, Pavan K. Turaga, Saket Anand
2020	J	`jnl`	Multimodal Device Clustering Using Mobile Agent for Correlation in Sensor-Based IoT. Ad Hoc Sens. Wirel. Networks Ankita Shukla, Vishal Krishna Singh, Mala Kalra
2020	J	`jnl`	Nonhomogeneous backward heat conduction problem: Compact filter regularization and error estimates. J. Appl. Math. Comput. Ankita Shukla, Mani Mehra
2020	—	`conf`	Semi-Supervised Clustering with Neural Networks. BigMM Ankita Shukla, Gullal Singh Cheema, Saket Anand
2019	—	`conf`	A Compact Filter Regularization Method for Solving Sideways Heat Equation. NUMTA (2) Ankita Shukla, Mani Mehra
2019	—	`conf`	A Hybrid Approach to Tiger Re-Identification. ICCV Workshops Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Guo, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell
2019	—	`ch.`	Disease Biomarker Discovery. Encyclopedia of Bioinformatics and Computational Biology (3) Tiratha Raj Singh, Ankita Shukla, Taoufik Bensellak, Ahmed Moussa, Brigitte Vannier
2019	J	`jnl`	Gene Expression Studies to Identify Significant Genes in AR, MTOR, MAPK Pathways and their Overlapping Regulatory Role in Prostate Cancer. J. Integr. Bioinform. Nimisha Asati, Abhinav Mishra, Ankita Shukla, Tiratha Raj Singh
2019	J	`jnl`	Geometry of Deep Generative Models for Disentangled Representations. CoRR Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
2019	A	`conf`	PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
2019	—	`conf`	Primate Face Identification in the Wild. PRICAI (3) Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
2019	J	`jnl`	Primate Face Identification in the Wild. CoRR Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
2019	J	`jnl`	Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
2018	J	`jnl`	ClusterNet : Semi-Supervised Clustering using Neural Networks. CoRR Ankita Shukla, Gullal Singh Cheema, Saket Anand
2018	—	`conf`	Geometry of Deep Generative Models for Disentangled Representations. ICVGIP Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
2018	J	`jnl`	Network-based approach to understand dynamic behaviour of Wnt signaling pathway regulatory elements in colorectal cancer. Netw. Model. Anal. Health Informatics Bioinform. Ankita Shukla, Tiratha Raj Singh
2018	—	`conf`	Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
2018	J	`jnl`	Perturbation Robust Representations of Topological Persistence Diagrams. CoRR Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
2018	J	`jnl`	Unique Identification of Macaques for Population Monitoring and Control. CoRR Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
2017	J	`jnl`	Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network. Integr. Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar
2017	—	`conf`	Metric learning on biological sequence embeddings. SPAWC Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan
2016	B	`conf`	Metric learning based automatic segmentation of patterned species. ICIP Ankita Shukla, Saket Anand
2015	—	`conf`	A Kronecker Compressed Sensing formulation for energy efficient EEG sensing. ICAPR Ankita Shukla, Angshul Majumdar, Rabab K. Ward
2015	Misc	`conf`	Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network. ICASSP Angshul Majumdar, Ankita Shukla, Rabab K. Ward
2015	J	`jnl`	Exploiting inter-channel correlation in EEG signal reconstruction. Biomed. Signal Process. Control. Ankita Shukla, Angshul Majumdar
2015	J	`jnl`	Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals. Biomed. Signal Process. Control. Ankita Shukla, Angshul Majumdar
2014	—	`conf`	Energy efficient acquisition and reconstruction of EEG signals. EMBC Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar
2014	B	`conf`	Matrix Recovery Using Split Bregman. ICPR Anupriya Gogna, Ankita Shukla, Angshul Majumdar
2014	B	`conf`	Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar
2013	J	`jnl`	Matrix recovery using Split Bregman. CoRR Anupriya Gogna, Ankita Shukla, Angshul Majumdar