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Generative Model

67 directly classified papers

Papers per year

Papers

Bridge-IF: Learning Inverse Protein Folding with Markov Bridges NIPS 2024
Equivariant Neural Diffusion for Molecule Generation NIPS 2024
MGF: Mixed Gaussian Flow for Diverse Trajectory Prediction NIPS 2024
Full-Atom Peptide Design with Geometric Latent Diffusion NIPS 2024
A scalable generative model for dynamical system reconstruction from neuroimaging data NIPS 2024
Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NIPS 2023
Reflected Diffusion Models ICML 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
Continual Learning through Retrieval and Imagination AAAI 2022
Quality Controlled Paraphrase Generation ACL 2022
ELMA: Energy-Based Learning for Multi-Agent Activity Forecasting AAAI 2022
Modular Flows: Differential Molecular Generation NIPS 2022
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds NIPS 2022
Introducing Variational Autoencoders to High School Students AAAI 2022
A Unified Framework for Deep Symbolic Regression NIPS 2022
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
Cost-aware Graph Generation: A Deep Bayesian Optimization Approach AAAI 2021
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics NIPS 2021
Continuous Language Generative Flow ACL 2021
Compositional Visual Generation with Energy Based Models NIPS 2020
InvNet: Encoding Geometric and Statistical Invariances in Deep Generative Models AAAI 2020
Guiding Deep Molecular Optimization with Genetic Exploration NIPS 2020