conftrace_

multimodal distribution

25 papers

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Co-occurring keywords

markov chain monte carlo (725) variational autoencoder (1288) generative adversarial network (1944) generative model (2892) bayesian inference (1907) variational inference (2069) gaussian mixture model (389) kullback-leibler divergence (181) importance sampling (318) posterior distribution (259)

Papers

Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting WACV 2025
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling NIPS 2024
Large Language Models Are Zero-Shot Time Series Forecasters NIPS 2023
Directed Chain Generative Adversarial Networks ICML 2023
Adaptive Conditional Quantile Neural Processes UAI 2023
Continuously Tempered PDMP samplers NIPS 2022
Can Push-forward Generative Models Fit Multimodal Distributions? NIPS 2022
Revisiting Over-Smoothness in Text to Speech ACL 2022
Evidential Softmax for Sparse Multimodal Distributions in Deep Generative Models NIPS 2021
Nested Variational Inference NIPS 2021
Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition AAAI 2020
Trust-Region Variational Inference with Gaussian Mixture Models JMLR 2020
Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders EMNLP 2019
Leveraging exploration in off-policy algorithms via normalizing flows CORL 2019
Hierarchical Optimal Transport for Multimodal Distribution Alignment NIPS 2019
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning NIPS 2018
Mental Sampling in Multimodal Representations NIPS 2018
Efficient Gradient-Free Variational Inference using Policy Search ICML 2018
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo NIPS 2018
Stochastic Gradient Monomial Gamma Sampler ICML 2017
Wasserstein Training of Restricted Boltzmann Machines NIPS 2016
Parallel Markov Chain Monte Carlo via Spectral Clustering AISTATS 2016
Learning Stochastic Feedforward Neural Networks NIPS 2013
Efficient Sampling for Bipartite Matching Problems NIPS 2012
Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010