Estimating the geographical range of a species from sparse observations is a challenging
and important geospatial prediction problem. Given a set of locations where a species has …
and important geospatial prediction problem. Given a set of locations where a species has …
Context and attribute grounded dense captioning
Dense captioning aims at simultaneously localizing semantic regions and describing these
regions-of-interest (ROIs) with short phrases or sentences in natural language. Previous …
regions-of-interest (ROIs) with short phrases or sentences in natural language. Previous …
Constraint reasoning embedded structured prediction
Many real-world structured prediction problems need machine learning to capture data
distribution and constraint reasoning to ensure structure validity. Nevertheless, constrained …
distribution and constraint reasoning to ensure structure validity. Nevertheless, constrained …
Hot-vae: Learning high-order label correlation for multi-label classification via attention-based variational autoencoders
Understanding how environmental characteristics affect biodiversity patterns, from individual
species to communities of species, is critical for mitigating effects of global change. A central …
species to communities of species, is critical for mitigating effects of global change. A central …
End-to-end learning for the deep multivariate probit model
The multivariate probit model (MVP) is a popular classic model for studying binary
responses of multiple entities. Nevertheless, the computational challenge of learning the …
responses of multiple entities. Nevertheless, the computational challenge of learning the …
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
We focus on the problem of species distribution modeling using global-scale presence-only
data. Most previous studies have mapped the range of a given species using geographical …
data. Most previous studies have mapped the range of a given species using geographical …
A deep Generative Artificial Intelligence system to predict species coexistence patterns
Predicting coexistence patterns is a current challenge to understand diversity maintenance,
especially in rich communities where these patterns' complexity is magnified through indirect …
especially in rich communities where these patterns' complexity is magnified through indirect …