Generative Model

MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators AAAI 2024 Scalable Motion Style Transfer with Constrained Diffusion Generation AAAI 2024 Soft Learning Probabilistic Circuits PGM 2024 Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising EMNLP 2024 C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023 Generative Augmented Flow Networks ICLR 2023 Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport NeurIPS 2023 Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets NeurIPS 2023 Neural Diffeomorphic Non-uniform B-spline Flows AAAI 2023 Prototypical Model with Information-Theoretic Loss Functions for Generalized Zero-Shot Learning ACML 2023 Reflected Diffusion Models ICML 2023 A Unified Framework for Deep Symbolic Regression NeurIPS 2022 Continual Learning through Retrieval and Imagination AAAI 2022 ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting AAAI 2022 Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings ICLR 2022 Introducing Variational Autoencoders to High School Students AAAI 2022 Modular Flows: Differential Molecular Generation NeurIPS 2022 On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NeurIPS 2022 Quality Controlled Paraphrase Generation ACL 2022 Continuous Language Generative Flow ACL 2021 Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021 iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression CVPR 2021 Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NeurIPS 2021 Text Style Transfer: Leveraging a Style Classifier on Entangled Latent Representations ACL 2021