Jeyan Thiyagalingam

34 papers A* 3B 1C 1Misc 2Journal 23Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Autonomous battery research: Principles of heuristic operando experimentation. CoRR Emily Lu, Gabriel Perez, Peter Baker, Daniel Irving, Santosh Kumar, Veronica Celorrio, Sylvia Britto, Thomas F. Headen, Miguel Gomez-Gonzalez, Connor Wright, Calum Green, Robert Scott Young, Oleg Kirichek, Ali Mortazavi, Sarah Day, Isabel Antony, Zoe Wright, Thomas Wood, Tim Snow, Jeyan Thiyagalingam, Paul Quinn, Martin Owen Jones, William David, James Le Houx
2026	J	`jnl`	Enhancing rainfall prediction accuracy through image fusion of radar and numerical weather prediction models. Expert Syst. Appl. Jongyun Byun, Jaehoon Cha, Jeyan Thiyagalingam, Hyeon-Joon Kim, Changhyun Jun
2026	J	`jnl`	NL2GDS: LLM-aided interface for Open Source Chip Design. CoRR Max Eland, Jeyan Thiyagalingam, Dinesh Pamunuwa, Roshan Weerasekera
2025	J	`jnl`	AI Benchmark Democratization and Carpentry. CoRR Gregor von Laszewski, Wesley Brewer, Jeyan Thiyagalingam, Juri Papay, Armstrong Foundjem, Piotr Luszczek, Murali Emani, Shirley V. Moore, Vijay Janapa Reddi, Matthew D. Sinclair, Sebastian Lobentanzer, Sujata S. Goswami, Benjamin Hawks, Marco Colombo, Nhan Tran, Christine R. Kirkpatrick, Abdulkareem Alsudais, Gregg Barrett, Tianhao Li, Kirsten N. Morehouse, Shivaram Venkataraman, Rutwik Jain, Kartik Mathur, Victor Lu, Tejinder Singh, Khojasteh Z. Mirza, Kongtao Chen, Sasidhar Kunapuli, Gavin Farrell, Renato Umeton, Geoffrey C. Fox
2025	J	`jnl`	Discovering fully semantic representations via centroid- and orientation-aware feature learning. Nat. Mac. Intell. Jaehoon Cha, Jinhae Park, Samuel Pinilla, Kyle L. Morris, Christopher S. Allen, Mark I. Wilkinson, Jeyan Thiyagalingam
2025	Misc	`conf`	Enhancing Imaging Generation through Implicit Neural Representations and HyperNetwork for Spatial Variability. ICASSP Jaehoon Cha, Siu Lun Yeung, Siddharth Dhanpal, Jeyan Thiyagalingam
2024	—	`conf`	Affinity-VAE: Incorporating Prior Knowledge in Representation Learning from Scientific Images. ECCV Workshops (16) Marjan Famili, Jola Mirecka, Camila Rangel Smith, Anna Kostanska, Nikolai Juraschko, Beatriz Costa-Gomes, Colin M. Palmer, Jeyan Thiyagalingam, Tom Burnley, Mark Basham, Alan R. Lowe
2024	J	`jnl`	Deep Learning Evidence for Global Optimality of Gerver's Sofa. CoRR Kuangdai Leng, Jia Bi, Jaehoon Cha, Samuel Pinilla, Jeyan Thiyagalingam
2024	J	`jnl`	Deep Learning Evidence for Global Optimality of Gerver's Sofa. Symmetry Kuangdai Leng, Jia Bi, Jaehoon Cha, Samuel Pinilla, Jeyan Thiyagalingam
2024	J	`jnl`	FAIR-MAST: A fusion device data management system. SoftwareX Samuel Jackson, Saiful Khan, Nathan Cummings, James Hodson, Shaun De Witt, Stanislas Pamela, Rob J. Akers, Jeyan Thiyagalingam
2024	J	`jnl`	Feature-Action Design Patterns for Storytelling Visualizations with Time Series Data. CoRR Saiful Khan, Scott Jones, Benjamin Bach, Jaehoon Cha, Min Chen, Julie Meikle, Jonathan C. Roberts, Jeyan Thiyagalingam, Jo Wood, Panagiotis D. Ritsos
2024	Misc	`conf`	Global Convergence of Alternating Direction Method of Multipliers for Invex Objective Losses. ICASSP Samuel Pinilla, Siu Lun Yeung, Jeyan Thiyagalingam
2024	A*	`conf`	Global Optimality for Non-linear Constrained Restoration Problems via Invexity. ICLR Samuel Pinilla, Jeyan Thiyagalingam
2024	—	`conf`	Unsupervised Few-Shot Image Segmentation with Dense Feature Learning and Sparse Clustering. VISIGRAPP (2): VISAPP Kuangdai Leng, Robert Atwood, Winfried Kockelmann, Deniza Chekrygina, Jeyan Thiyagalingam
2024	J	`jnl`	Zero coordinate shift: Whetted automatic differentiation for physics-informed operator learning. J. Comput. Phys. Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
2023	J	`jnl`	Memory-Aware Attentive Control for Community Question Answering With Knowledge-Based Dual Refinement. IEEE Trans. Syst. Man Cybern. Syst. Jinmeng Wu, Tingting Mu, Jeyan Thiyagalingam, John Yannis Goulermas
2023	A*	`conf`	Orthogonality-Enforced Latent Space in Autoencoders: An Approach to Learning Disentangled Representations. ICML Jaehoon Cha, Jeyan Thiyagalingam
2023	C	`conf`	Padding-Free Convolution Based on Preservation of Differential Characteristics of Kernels. ICMLA Kuangdai Leng, Jeyan Thiyagalingam
2023	J	`jnl`	Padding-free Convolution based on Preservation of Differential Characteristics of Kernels. CoRR Kuangdai Leng, Jeyan Thiyagalingam
2023	B	`conf`	Templated Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh, Applied to the Deep Learning MLCommons Cloudmask Application. e-Science Gregor von Laszewski, Jacques Phillipe Fleischer, Geoffrey C. Fox, Juri Papay, Samuel Jackson, Jeyan Thiyagalingam
2023	J	`jnl`	Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis. Appl. Intell. Huafeng Hu, Ruijie Ye, Jeyan Thiyagalingam, Frans Coenen, Jionglong Su
2023	J	`jnl`	Zero Coordinate Shift: Whetted Automatic Differentiation for Physics-informed Operator Learning. CoRR Kuangdai Leng, Mallikarjun Shankar, Jeyan Thiyagalingam
2022	—	`conf`	AI Benchmarking for Science: Efforts from the MLCommons Science Working Group. ISC Workshops 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
2022	J	`jnl`	Affinity-VAE for disentanglement, clustering and classification of objects in multidimensional image data. CoRR Jola Mirecka, Marjan Famili, Anna Kotanska, Nikolai Juraschko, Beatriz Costa-Gomes, Colin M. Palmer, Jeyan Thiyagalingam, Tom Burnley, Mark Basham, Alan R. Lowe
2022	J	`jnl`	Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras
2022	J	`jnl`	Disentangling Autoencoders (DAE). CoRR Jaehoon Cha, Jeyan Thiyagalingam
2022	A*	`conf`	Improved Imaging by Invex Regularizers with Global Optima Guarantees. NeurIPS Samuel Pinilla, Tingting Mu, Neil Bourne, Jeyan Thiyagalingam
2022	J	`jnl`	On the Compatibility between a Neural Network and a Partial Differential Equation for Physics-informed Learning. CoRR Kuangdai Leng, Jeyan Thiyagalingam
2021	J	`jnl`	A Multilane Tracking Algorithm Using IPDA with Intensity Feature. Sensors Behzad Akbari, Jeyan Thiyagalingam, Richard Lee, Thia Kirubarajan
2021	J	`jnl`	Deploying the Big Data Science Center at the Shanghai Synchrotron Radiation Facility: the first superfacility platform in China. Mach. Learn. Sci. Technol. Chunpeng Wang, Feng Yu, Yiyang Liu, Xiaoyun Li, Jige Chen, Jeyan Thiyagalingam, Alessandro Sepe
2021	—	`conf`	Lessons Learned from Ariel Data Challenge 2022 - Inferring Physical Properties of Exoplanets From Next-Generation Telescopes. NeurIPS (Competition and Demos) 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
2021	J	`jnl`	Scientific Machine Learning Benchmarks. CoRR Jeyan Thiyagalingam, Mallikarjun Shankar, Geoffrey C. Fox, Tony Hey
2020	J	`jnl`	A Novel Method for Sea-Land Clutter Separation Using Regularized Randomized and Kernel Ridge Neural Networks. Sensors Le Zhang, Jeyan Thiyagalingam, Anke Xue, Shu-Wen Xu
2020	J	`jnl`	Deep learning insights into cosmological structure formation. CoRR Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam