Jeyan Thiyagalingam

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Building Blocks

Medical Image Analysis

Top Venues

Publications

Varshitha Chennamsetti, Gregor von Laszewski, Ruochen Gu, Laiba Mehnaz, Juri Papay, Samuel Jackson, Jeyan Thiyagalingam, Sergey V. Samsonau, Geoffrey C. Fox
MLCommons Cloud Masking Benchmark with Early Stopping. CoRR (2024)
Kuangdai Leng, Jia Bi, Jaehoon Cha, Samuel Pinilla, Jeyan Thiyagalingam
Deep Learning Evidence for Global Optimality of Gerver's Sofa. CoRR (2024)
Samuel Pinilla, Siu Lun Yeung, Jeyan Thiyagalingam
Global Convergence of Alternating Direction Method of Multipliers for Invex Objective Losses. ICASSP (2024)
Samuel Pinilla, Jeyan Thiyagalingam
Global Optimality for Non-linear Constrained Restoration Problems via Invexity. ICLR (2024)
Kuangdai Leng, Robert Atwood, Winfried Kockelmann, Deniza Chekrygina, Jeyan Thiyagalingam
Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering. VISIGRAPP (2): VISAPP (2024)
Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning. J. Comput. Phys. 505 (2024)
Saiful Khan, Scott Jones, Benjamin Bach, Jaehoon Cha, Min Chen, Julie Meikle, Jonathan C. Roberts, Jeyan Thiyagalingam, Jo Wood, Panagiotis D. Ritsos
Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data. CoRR (2024)
Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning. CoRR (2023)
Kuangdai Leng, Jeyan Thiyagalingam
Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. ICMLA (2023)
Jaehoon Cha, Jeyan Thiyagalingam
Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations. ICML (2023)
Huafeng Hu, Ruijie Ye, Jeyan Thiyagalingam, Frans Coenen, Jionglong Su
Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis. Appl. Intell. 53 (17) (2023)
Gregor von Laszewski, Jacques Phillipe Fleischer, Geoffrey C. Fox, Juri Papay, Sam Jackson, Jeyan Thiyagalingam
Templated Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh, Applied to the Deep Learning MLCommons Cloudmask Application. e-Science (2023)
Kuangdai Leng, Jeyan Thiyagalingam
Padding-free Convolution based on Preservation of Differential Characteristics of Kernels. CoRR (2023)
Jinmeng Wu, Tingting Mu, Jeyan Thiyagalingam, John Yannis Goulermas
Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. IEEE Trans. Syst. Man Cybern. Syst. 53 (7) (2023)
Kuangdai Leng, Jeyan Thiyagalingam
On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning. CoRR (2022)
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR (2022)
Jola Mirecka, Marjan Famili, Anna Kotanska, Nikolai Juraschko, Beatriz Costa-Gomes, Colin M. Palmer, Jeyan Thiyagalingam, Tom Burnley, Mark Basham, Alan R. Lowe
Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data. CoRR (2022)
Jaehoon Cha, Jeyan Thiyagalingam
Disentangling Autoencoders (DAE). CoRR (2022)
Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam
Improved Imaging by Invex Regularizers with Global Optima Guarantees. NeurIPS (2022)
Jeyan Thiyagalingam, Gregor von Laszewski, Junqi Yin, Murali Emani, Juri Papay, Gregg Barrett, Piotr Luszczek, Aristeidis Tsaris, Christine R. Kirkpatrick, Feiyi Wang, Tom Gibbs, Venkatram Vishwanath, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey
AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. ISC Workshops (2022)
Chunpeng Wang, Feng Yu, Yiyang Liu, Xiaoyun Li, Jige Chen, Jeyan Thiyagalingam, Alessandro Sepe
Deploying the Big Data Science Center at the Shanghai Synchrotron Radiation Facility: the first superfacility platform in China. Mach. Learn. Sci. Technol. 2 (3) (2021)
Kai Hou Yip, Quentin Changeat, Ingo P. Waldmann, Eyup B. Unlu, Roy T. Forestano, Alexander Roman, Katia Matcheva, Konstantin T. Matchev, Stefan Stefanov, Ondrej Podsztavek, Mario Morvan, Nikolaos Nikolaou, Ahmed F. Al-Refaie, Clare Jenner, Chris Johnson, Angelos Tsiaras, Billy Edwards, Catarina Alves de Oliveira, Jeyan Thiyagalingam, Pierre-Olivier Lagage, James Cho, Giovanna Tinetti
Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. NeurIPS (Competition and Demos) (2021)
Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey
Scientific Machine Learning Benchmarks. CoRR (2021)
Behzad Akbari, Jeyan Thiyagalingam, Richard Lee, Thia Kirubarajan
A Multilane Tracking Algorithm Using IPDA with Intensity Feature. Sensors 21 (2) (2021)
Le Zhang, Jeyan Thiyagalingam, Anke Xue, Shu-Wen Xu
A Novel Method for Sea-Land Clutter Separation Using Regularized Randomized and Kernel Ridge Neural Networks. Sensors 20 (22) (2020)
Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam
Deep learning insights into cosmological structure formation. CoRR (2020)