57 research outputs found
A generative flow for conditional sampling via optimal transport
Sampling conditional distributions is a fundamental task for Bayesian
inference and density estimation. Generative models, such as normalizing flows
and generative adversarial networks, characterize conditional distributions by
learning a transport map that pushes forward a simple reference (e.g., a
standard Gaussian) to a target distribution. While these approaches
successfully describe many non-Gaussian problems, their performance is often
limited by parametric bias and the reliability of gradient-based (adversarial)
optimizers to learn these transformations. This work proposes a non-parametric
generative model that iteratively maps reference samples to the target. The
model uses block-triangular transport maps, whose components are shown to
characterize conditionals of the target distribution. These maps arise from
solving an optimal transport problem with a weighted cost function,
thereby extending the data-driven approach in [Trigila and Tabak, 2016] for
conditional sampling. The proposed approach is demonstrated on a two
dimensional example and on a parameter inference problem involving nonlinear
ODEs.Comment: 18 pages, 5 figure
Assessing The Factual Accuracy of Generated Text
We propose a model-based metric to estimate the factual accuracy of generated
text that is complementary to typical scoring schemes like ROUGE
(Recall-Oriented Understudy for Gisting Evaluation) and BLEU (Bilingual
Evaluation Understudy). We introduce and release a new large-scale dataset
based on Wikipedia and Wikidata to train relation classifiers and end-to-end
fact extraction models. The end-to-end models are shown to be able to extract
complete sets of facts from datasets with full pages of text. We then analyse
multiple models that estimate factual accuracy on a Wikipedia text
summarization task, and show their efficacy compared to ROUGE and other
model-free variants by conducting a human evaluation study
Camouflaging in a Complex Environment—Octopuses Use Specific Features of Their Surroundings for Background Matching
Living under intense predation pressure, octopuses evolved an effective and impressive camouflaging ability that exploits features of their surroundings to enable them to “blend in.” To achieve such background matching, an animal may use general resemblance and reproduce characteristics of its entire surroundings, or it may imitate a specific object in its immediate environment. Using image analysis algorithms, we examined correlations between octopuses and their backgrounds. Field experiments show that when camouflaging, Octopus cyanea and O. vulgaris base their body patterns on selected features of nearby objects rather than attempting to match a large field of view. Such an approach enables the octopus to camouflage in partly occluded environments and to solve the problem of differences in appearance as a function of the viewing inclination of the observer
Reconstructing Metaphorical Meaning
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Cephalopod Experimental Projected Habitat (CEPH): Virtual Reality for Underwater Organisms
Cephalopods' visually driven, dynamic, and diverse skin display makes them a key animal model in sensory ethology and camouflage research. Development of novel methods is critically important in order to monitor and objectively quantify cephalopod behavior. In this work, the development of Cephalopod Experimental Projected Habitat (CEPH) is described. This newly developed experimental design bridges computational and ethological sciences, providing a visually controlled arena which requires limited physical space and minimal previous technical background. Created from relatively inexpensive and readily available materials, the experimental apparatus utilizes reflected light which closely resembles natural settings. Preliminary results suggest the experimental design reproducibly challenges marine organisms with visually dynamic surroundings, including videos of prey and predator. This new approach should offer new avenues for marine organism sensory research and may serve researchers from various fields
Video5.MP4
<p>Cephalopods' visually driven, dynamic, and diverse skin display makes them a key animal model in sensory ethology and camouflage research. Development of novel methods is critically important in order to monitor and objectively quantify cephalopod behavior. In this work, the development of Cephalopod Experimental Projected Habitat (CEPH) is described. This newly developed experimental design bridges computational and ethological sciences, providing a visually controlled arena which requires limited physical space and minimal previous technical background. Created from relatively inexpensive and readily available materials, the experimental apparatus utilizes reflected light which closely resembles natural settings. Preliminary results suggest the experimental design reproducibly challenges marine organisms with visually dynamic surroundings, including videos of prey and predator. This new approach should offer new avenues for marine organism sensory research and may serve researchers from various fields.</p
Video2.MP4
<p>Cephalopods' visually driven, dynamic, and diverse skin display makes them a key animal model in sensory ethology and camouflage research. Development of novel methods is critically important in order to monitor and objectively quantify cephalopod behavior. In this work, the development of Cephalopod Experimental Projected Habitat (CEPH) is described. This newly developed experimental design bridges computational and ethological sciences, providing a visually controlled arena which requires limited physical space and minimal previous technical background. Created from relatively inexpensive and readily available materials, the experimental apparatus utilizes reflected light which closely resembles natural settings. Preliminary results suggest the experimental design reproducibly challenges marine organisms with visually dynamic surroundings, including videos of prey and predator. This new approach should offer new avenues for marine organism sensory research and may serve researchers from various fields.</p
Video1.MP4
<p>Cephalopods' visually driven, dynamic, and diverse skin display makes them a key animal model in sensory ethology and camouflage research. Development of novel methods is critically important in order to monitor and objectively quantify cephalopod behavior. In this work, the development of Cephalopod Experimental Projected Habitat (CEPH) is described. This newly developed experimental design bridges computational and ethological sciences, providing a visually controlled arena which requires limited physical space and minimal previous technical background. Created from relatively inexpensive and readily available materials, the experimental apparatus utilizes reflected light which closely resembles natural settings. Preliminary results suggest the experimental design reproducibly challenges marine organisms with visually dynamic surroundings, including videos of prey and predator. This new approach should offer new avenues for marine organism sensory research and may serve researchers from various fields.</p
Video4.MP4
<p>Cephalopods' visually driven, dynamic, and diverse skin display makes them a key animal model in sensory ethology and camouflage research. Development of novel methods is critically important in order to monitor and objectively quantify cephalopod behavior. In this work, the development of Cephalopod Experimental Projected Habitat (CEPH) is described. This newly developed experimental design bridges computational and ethological sciences, providing a visually controlled arena which requires limited physical space and minimal previous technical background. Created from relatively inexpensive and readily available materials, the experimental apparatus utilizes reflected light which closely resembles natural settings. Preliminary results suggest the experimental design reproducibly challenges marine organisms with visually dynamic surroundings, including videos of prey and predator. This new approach should offer new avenues for marine organism sensory research and may serve researchers from various fields.</p
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