Ankita Shukla

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 43

Top Topics

Colorectal Cancer

Geometric Moments

Energy Efficient

Top Venues

Biomed. Signal Process. Control.

Publications

Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data. CoRR (2024)
Ankita Shukla, Rishi Dadhich, Rajhans Singh, Anirudh Rayas, Pouria Saidi, Gautam Dasarathy, Visar Berisha, Pavan K. Turaga
Orthogonality and graph divergence losses promote disentanglement in generative models. Frontiers Comput. Sci. 6 (2024)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan K. Turaga
Topological persistence guided knowledge distillation for wearable sensor data. Eng. Appl. Artif. Intell. 130 (2024)
Baaz Jhaj, Ankita Shukla, Pavan K. Turaga, Michael N. Kozicki
On the impact of pre-training datasets for matching dendritic identifiers using residual nets. AI-SIPM (2024)
Rajhans Singh, Ankita Shukla, Pavan K. Turaga
Improving Shape Awareness and Interpretability in Deep Networks Using Geometric Moments. CVPR Workshops (2023)
Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan Turaga
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. WACV (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan Turaga
Leveraging Angular Distributions for Improved Knowledge Distillation. CoRR (2023)
Tripti Shukla, Paridhi Maheshwari, Rajhans Singh, Ankita Shukla, Kuldeep Kulkarni, Pavan K. Turaga
Scene Graph Driven Text-Prompt Generation for Image Inpainting. CVPR Workshops (2023)
Rajhans Singh, Ankita Shukla, Pavan K. Turaga
Polynomial Implicit Neural Representations For Large Diverse Datasets. CVPR (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data. IEEE Trans. Instrum. Meas. 72 (2023)
Rajhans Singh, Ankita Shukla, Pavan K. Turaga
Polynomial Implicit Neural Representations For Large Diverse Datasets. CoRR (2023)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Pavan Turaga
Leveraging angular distributions for improved knowledge distillation. Neurocomputing 518 (2023)
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan Turaga
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. IEEE Internet Things J. 9 (14) (2022)
Voncarlos M. Araújo, Ankita Shukla, Clément Chion, Sébastien Gambs, Robert Michaud
Machine-Learning Approach for Automatic Detection of Wild Beluga Whales from Hand-Held Camera Pictures. Sensors 22 (11) (2022)
Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan K. Turaga
Topological Knowledge Distillation for Wearable Sensor Data. IEEECONF (2022)
Hongjun Choi, Eun Som Jeon, Ankita Shukla, Pavan Turaga
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study. CoRR (2022)
Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, Pavan Turaga
Role of Data Augmentation Strategies in Knowledge Distillation for Wearable Sensor Data. CoRR (2022)
Rajhans Singh, Ankita Shukla, Pavan Turaga
Deep Geometric Moment. CoRR (2022)
Ankita Shukla, Tiratha Raj Singh
Structure based inference of functional single nucleotide polymorphism and its role in TGFβ1 allied colorectal cancer (CRC). Int. J. Bioinform. Res. Appl. 17 (1) (2021)
Mani Mehra, Ankita Shukla, Günter Leugering
An adaptive spectral graph wavelet method for PDEs on networks. Adv. Comput. Math. 47 (1) (2021)
Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga
Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion. CoRR (2021)
Ella Y. Wang, Anirudh Som, Ankita Shukla, Hongjun Choi, Pavan K. Turaga
Interpretable COVID-19 Chest X-Ray Classification via Orthogonality Constraint. CoRR (2021)
Ankita Shukla, Gullal Singh Cheema, Saket Anand
Semi-Supervised Clustering with Neural Networks. BigMM (2020)
Ankita Shukla, Pavan K. Turaga, Saket Anand
GraCIAS: Grassmannian of Corrupted Images for Adversarial Security. CoRR (2020)
Ankita Shukla, Vishal Krishna Singh, Mala Kalra
Multimodal Device Clustering Using Mobile Agent for Correlation in Sensor-Based IoT. Ad Hoc Sens. Wirel. Networks 48 (1-2) (2020)
Ankita Shukla, Mani Mehra
Nonhomogeneous backward heat conduction problem: Compact filter regularization and error estimates. J. Appl. Math. Comput. 62 (1-2) (2020)
Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
Primate Face Identification in the Wild. CoRR (2019)
Ankita Shukla, Mani Mehra
A Compact Filter Regularization Method for Solving Sideways Heat Equation. NUMTA (2) (2019)
Ankita Shukla, Connor Anderson, Gullal Singh Cheema, Pei Gao, Suguru Onda, Divyam Anshumaan, Saket Anand, Ryan Farrell
A Hybrid Approach to Tiger Re-Identification. ICCV Workshops (2019)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. CoRR (2019)
Ankita Shukla, Sarthak Bhagat, Shagun Uppal, Saket Anand, Pavan K. Turaga
PrOSe: Product of Orthogonal Spheres Parameterization for Disentangled Representation Learning. BMVC (2019)
Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
Primate Face Identification in the Wild. PRICAI (3) (2019)
Nimisha Asati, Abhinav Mishra, Ankita Shukla, Tiratha Raj Singh
Gene Expression Studies to Identify Significant Genes in AR, MTOR, MAPK Pathways and their Overlapping Regulatory Role in Prostate Cancer. J. Integr. Bioinform. 16 (3) (2019)
Ankita Shukla, Gullal Singh Cheema, Saket Anand, Qamar Qureshi, Yadvendradev Jhala
Unique Identification of Macaques for Population Monitoring and Control. CoRR (2018)
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) (2018)
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
Perturbation Robust Representations of Topological Persistence Diagrams. CoRR (2018)
Ankita Shukla, Tiratha Raj Singh
Network-based approach to understand dynamic behaviour of Wnt signaling pathway regulatory elements in colorectal cancer. Netw. Model. Anal. Health Informatics Bioinform. 7 (1) (2018)
Ankita Shukla, Gullal Singh Cheema, Saket Anand
ClusterNet : Semi-Supervised Clustering using Neural Networks. CoRR (2018)
Ankita Shukla, Shagun Uppal, Sarthak Bhagat, Saket Anand, Pavan K. Turaga
Geometry of Deep Generative Models for Disentangled Representations. ICVGIP (2018)
Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar
Energy efficient EEG acquisition and reconstruction for a Wireless Body Area Network. Integr. 58 (2017)
Dhananjay Kimothi, Ankita Shukla, Pravesh Biyani, Saket Anand, James M. Hogan
Metric learning on biological sequence embeddings. SPAWC (2017)
Ankita Shukla, Saket Anand
Metric learning based automatic segmentation of patterned species. ICIP (2016)
Ankita Shukla, Angshul Majumdar
Exploiting inter-channel correlation in EEG signal reconstruction. Biomed. Signal Process. Control. 18 (2015)
Ankita Shukla, Angshul Majumdar, Rabab K. Ward
A Kronecker Compressed Sensing formulation for energy efficient EEG sensing. ICAPR (2015)
Ankita Shukla, Angshul Majumdar
Row-sparse blind compressed sensing for reconstructing multi-channel EEG signals. Biomed. Signal Process. Control. 18 (2015)
Angshul Majumdar, Ankita Shukla, Rabab K. Ward
Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network. ICASSP (2015)
Anupriya Gogna, Ankita Shukla, Hemant Kumar Aggarwal, Angshul Majumdar
Split Bregman algorithms for sparse / joint-sparse and low-rank signal recovery: Application in compressive hyperspectral imaging. ICIP (2014)
Anupriya Gogna, Ankita Shukla, Angshul Majumdar
Matrix Recovery Using Split Bregman. ICPR (2014)
Wazir Singh, Ankita Shukla, Sujay Deb, Angshul Majumdar
Energy efficient acquisition and reconstruction of EEG signals. EMBC (2014)
Anupriya Gogna, Ankita Shukla, Angshul Majumdar
Matrix recovery using Split Bregman. CoRR (2013)