35 results on '"T. Chang"'
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2. Hypergraph: A Unified and Uniform Definition with Application to Chemical Hypergraph.
3. Concept-Oriented Deep Learning with Large Language Models.
4. Sampling-based Exploration for Reinforcement Learning of Dexterous Manipulation.
5. Variational Quantum Classifiers for Natural-Language Text.
6. Extraction of Text from Optic Nerve Optical Coherence Tomography Reports.
7. An Investigation of Multi-feature Extraction and Super-resolution with Fast Microphone Arrays.
8. Embodied-Symbolic Contrastive Graph Self-Supervised Learning for Molecular Graphs.
9. Dual Embodied-Symbolic Concept Representations for Deep Learning.
10. Parameterized Quantum Circuits with Quantum Kernels for Machine Learning: A Hybrid Quantum-Classical Approach.
11. Distance-Geometric Graph Attention Network (DG-GAT) for 3D Molecular Geometry.
12. Variational Quantum Kernels with Task-Specific Quantum Metric Learning.
13. Connecticut Redistricting Analysis.
14. Exemplar-Based Contrastive Self-Supervised Learning with Few-Shot Class Incremental Learning.
15. Bayesian Neural Networks: Essentials.
16. Probabilistic Deep Learning with Probabilistic Neural Networks and Deep Probabilistic Models.
17. Spectral Top-Down Recovery of Latent Tree Models.
18. Concept Representation Learning with Contrastive Self-Supervised Learning.
19. Hybrid Bayesian Neural Networks with Functional Probabilistic Layers.
20. TOKCS: Tool for Organizing Key Characteristics of VAM-HRI Systems.
21. Distance-Geometric Graph Convolutional Network (DG-GCN).
22. Spectral neighbor joining for reconstruction of latent tree models.
23. Geometric Graph Representations and Geometric Graph Convolutions for Deep Learning on Three-Dimensional (3D) Graphs.
24. Tiered Graph Autoencoders with PyTorch Geometric for Molecular Graphs.
25. Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Classification.
26. The Stanford Acuity Test: A Probabilistic Approach for Precise Visual Acuity Testing.
27. Tiered Latent Representations and Latent Spaces for Molecular Graphs.
28. Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans.
29. Bayesian Hyperparameter Optimization with BoTorch, GPyTorch and Ax.
30. Probabilistic Generative Deep Learning for Molecular Design.
31. Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients (PPES-Met) Utilizing Free-Text Clinical Narratives.
32. Concept-Oriented Deep Learning: Generative Concept Representations.
33. Latent Variable Modeling for Generative Concept Representations and Deep Generative Models.
34. Concept-Oriented Deep Learning.
35. A Deep Learning Approach to Unsupervised Ensemble Learning.
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