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Generative Model

69 papers

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Papers

Scalable Motion Style Transfer with Constrained Diffusion Generation AAAI 2024
Generative Model for Decision Trees AAAI 2024
Faithful Trip Recommender Using Diffusion Guidance (Student Abstract) AAAI 2024
Diverse Yet Biased: Towards Mitigating Biases in Generative AI (Student Abstract) AAAI 2024
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling CVPR 2024
Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising EMNLP 2024
A Novel GAN Approach to Augment Limited Tabular Data for Short-Term Substance Use Prediction IJCAI 2024
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NIPS 2023
Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NIPS 2023
C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023
Neural Diffeomorphic Non-uniform B-spline Flows AAAI 2023
Reflected Diffusion Models ICML 2023
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NIPS 2022
Modular Flows: Differential Molecular Generation NIPS 2022
A Unified Framework for Deep Symbolic Regression NIPS 2022
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting AAAI 2022
Continual Learning through Retrieval and Imagination AAAI 2022
Introducing Variational Autoencoders to High School Students AAAI 2022
Quality Controlled Paraphrase Generation ACL 2022
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NIPS 2021
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021
Continuous Language Generative Flow ACL 2021
Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations ACL 2021
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021
Wavelet Flow: Fast Training of High Resolution Normalizing Flows NIPS 2020