Esmeralda Whitammer
PulseAugur coverage of Esmeralda Whitammer — every cluster mentioning Esmeralda Whitammer across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New research improves diffusion model training with novel sampling strategy
A new research paper explores methods for training diffusion models to sample from distributions defined by unnormalized densities or energy functions. The study benchmarks existing simulation-based variational and off-…
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New GFlowNet method jointly infers Bayesian Network structure and parameters
Researchers have developed JSP-GFN, a novel method utilizing Generative Flow Networks (GFlowNets) to jointly infer both the structure and parameters of Bayesian Networks. This approach extends existing GFlowNet applicat…
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GFlowNets applied to solve complex combinatorial optimization problems
Researchers have developed a novel approach using GFlowNets to tackle complex combinatorial optimization problems, which are often too difficult for traditional algorithms. The method involves designing specific Markov …
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New 'trajectory balance' objective improves GFlowNet learning
Researchers have introduced "trajectory balance," a novel learning objective for Generative Flow Networks (GFlowNets). This new objective aims to improve credit assignment in GFlowNets, which are used for generating com…