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07/07/2023
Simulation-free Schrödinger bridges via score and flow matching
We present simulation-free score and flow matching ([SF]^2M), a simulati...
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06/30/2023
Thompson sampling for improved exploration in GFlowNets
Generative flow networks (GFlowNets) are amortized variational inference...
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06/26/2023
BatchGFN: Generative Flow Networks for Batch Active Learning
We introduce BatchGFN – a novel approach for pool-based active learning ...
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05/30/2023
Joint Bayesian Inference of Graphical Structure and Parameters with a Single Generative Flow Network
Generative Flow Networks (GFlowNets), a class of generative models over ...
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05/26/2023
Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
Combinatorial optimization (CO) problems are often NP-hard and thus out ...
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02/13/2023
GFlowNet-EM for learning compositional latent variable models
Latent variable models (LVMs) with discrete compositional latents are an...
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02/03/2023
Better Training of GFlowNets with Local Credit and Incomplete Trajectories
Generative Flow Networks or GFlowNets are related to Monte-Carlo Markov ...
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02/01/2023
Conditional Flow Matching: Simulation-Free Dynamic Optimal Transport
Continuous normalizing flows (CNFs) are an attractive generative modelin...
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01/30/2023
A theory of continuous generative flow networks
Generative flow networks (GFlowNets) are amortized variational inference...
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11/07/2022
Posterior samples of source galaxies in strong gravitational lenses with score-based priors
Inferring accurate posteriors for high-dimensional representations of th...
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10/24/2022
GFlowOut: Dropout with Generative Flow Networks
Bayesian Inference offers principled tools to tackle many critical probl...
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10/04/2022
ThinkSum: Probabilistic reasoning over sets using large language models
Large language models (LLMs) have a substantial capacity for high-level ...
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10/02/2022
GFlowNets and variational inference
This paper builds bridges between two families of probabilistic algorith...
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09/26/2022
Learning GFlowNets from partial episodes for improved convergence and stability
Generative flow networks (GFlowNets) are a family of algorithms for trai...
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09/06/2022
Unifying Generative Models with GFlowNets
There are many frameworks for deep generative modeling, each often prese...
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06/17/2022
Diffusion models as plug-and-play priors
We consider the problem of inferring high-dimensional data 𝐱 in a model ...
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02/28/2022
Resolving label uncertainty with implicit posterior models
We propose a method for jointly inferring labels across a collection of ...
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02/03/2022
Generative Flow Networks for Discrete Probabilistic Modeling
We present energy-based generative flow networks (EB-GFN), a novel proba...
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01/31/2022
Trajectory Balance: Improved Credit Assignment in GFlowNets
Generative Flow Networks (GFlowNets) are a method for learning a stochas...
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10/15/2021
Boosting coherence of language models
Naturality of long-term information structure – coherence – remains a ch...
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09/10/2021
Studying word order through iterative shuffling
As neural language models approach human performance on NLP benchmark ta...
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01/04/2021
