Jinbo Xu
13 papers · 2009–2025 · 5 venues · across top CS/AI venues
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probabilistic graphical model
(3)
gaussian graphical model
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exponential family
(2)
structure learning
(2)
graphical model
(2)
variational inference
(1)
probabilistic modeling
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bayesian nonparametrics
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sequence labeling
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approximate inference
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belief propagation
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feature selection
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attention mechanism
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group lasso
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reproducing kernel hilbert space
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gibbs sampling
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expectation maximization
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Papers
Bidirectional Hierarchical Protein Multi-Modal Representation Learning
MLHC 2025
Retrieval Augmented Zero-Shot Enzyme Generation for Specified Substrate
ICML 2025
ScaffoldGPT: A Scaffold-based GPT Model for Drug Optimization
MLHC 2025
PALM: Probabilistic area loss Minimization for Protein Sequence Alignment
UAI 2021
XOR-CD: Linearly Convergent Constrained Structure Generation
ICML 2021
Inferring Block Structure of Graphical Models in Exponential Families
AISTATS 2015
Learning Scale-Free Networks by Dynamic Node Specific Degree Prior
ICML 2015
Learning structured densities via infinite dimensional exponential families
NeurIPS 2015
Adaptive Variable Clustering in Gaussian Graphical Models
AISTATS 2014
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
AISTATS 2013
Approximate Inference by Intersecting Semidefinite Bound and Local Polytope
AISTATS 2012
A Two-Graph Guided Multi-task Lasso Approach for eQTL Mapping
AISTATS 2012
Conditional Neural Fields
NeurIPS 2009