conftrace_

normalizing flow

354 papers

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Also known as

NF

Co-occurring keywords

generative model (2892) variational inference (2069) density estimation (398) variational autoencoder (1288) probability distribution (265) flow-based model (74) probabilistic modeling (852) manifold learning (403) unsupervised learning (3264) autoregressive model (456)

Papers

Rectangular Flows for Manifold Learning NIPS 2021
FlowPrior: Learning Expressive Priors for Latent Variable Sentence Models NAACL 2021
Self Normalizing Flows ICML 2021
Glow-WaveGAN: Learning Speech Representations from GAN-Based Variational Auto-Encoder for High Fidelity Flow-Based Speech Synthesis INTERSPEECH 2021
Semantic Perturbations With Normalizing Flows for Improved Generalization ICCV 2021
WSRGlow: A Glow-Based Waveform Generative Model for Audio Super-Resolution INTERSPEECH 2021
A Change of Variables Method For Rectangular Matrix-Vector Products AISTATS 2021
Representational aspects of depth and conditioning in normalizing flows ICML 2021
Annealed Flow Transport Monte Carlo ICML 2021
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions NIPS 2021
Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021
A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow ACL 2021
Enriching and Controlling Global Semantics for Text Summarization EMNLP 2021
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows CVPR 2021
Feature Shift Detection: Localizing Which Features Have Shifted via Conditional Distribution Tests NIPS 2020
Gaussianization Flows AISTATS 2020
Invertible Generative Modeling using Linear Rational Splines AISTATS 2020
Latent Variable Modelling with Hyperbolic Normalizing Flows ICML 2020
Validation of Approximate Likelihood and Emulator Models for Computationally Intensive Simulations AISTATS 2020
Flexible Approximate Inference via Stratified Normalizing Flows UAI 2020
AlignFlow: Cycle Consistent Learning from Multiple Domains via Normalizing Flows AAAI 2020
The Convolution Exponential and Generalized Sylvester Flows NIPS 2020
Relative gradient optimization of the Jacobian term in unsupervised deep learning NIPS 2020
Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distribution Alignment NIPS 2020
Gradient Boosted Normalizing Flows NIPS 2020