Lista de obras -

A Game Theoretic Approach to Class-wise Selective Rationalization ⬇️

artículo científico publicado en 2019

A graph-convolutional neural network model for the prediction of chemical reactivity

artículo científico publicado en 2018

A synergistic DNA logic predicts genome-wide chromatin accessibility

artículo científico publicado en 2016

Active Information Retrieval ⬇️

Approximate inference using planar graph decomposition ⬇️

artículo científico publicado en 2007

Approximating Posterior Distributions in Belief Networks Using Mixtures ⬇️

Automated discovery of functional generality of human gene expression programs

artículo científico publicado en 2007

Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back

artículo científico publicado en 2023

Bayesian network approach to cell signaling pathway modeling

artículo científico publicado en 2002

Bias-Corrected Bootstrap and Model Uncertainty ⬇️

artículo científico publicado en 2004

Clusters and Coarse Partitions in LP Relaxations ⬇️

Combining location and expression data for principled discovery of genetic regulatory network models

artículo científico publicado en 2002

Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes

artículo científico publicado en 2003

Computational discovery of gene modules and regulatory networks

artículo científico publicado en 2003

Continuous representations of time-series gene expression data

artículo científico publicado en 2003

Controlling privacy in recommender systems ⬇️

artículo científico publicado en 2014

Convergence Rate Analysis of MAP Coordinate Minimization Algorithms ⬇️

artículo científico publicado en 2012

Convergence of Stochastic Iterative Dynamic Programming Algorithms ⬇️

artículo científico publicado en 1994

Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

artículo científico publicado en 2017

Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

scientific article published on 03 April 2020

Direct Optimization through arg max for Discrete Variational Auto-Encoder ⬇️

artículo científico publicado en 2019

Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

scientific article published on 19 January 2014

Distributed Information Regularization on Graphs ⬇️

artículo científico publicado en 2005

Exact MAP Estimates by (Hyper)tree Agreement ⬇️

artículo científico publicado en 2003

Exploiting Generative Models in Discriminative Classifiers ⬇️

Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks ⬇️

artículo científico publicado en 1996

Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations ⬇️

scholarly article by Amir Globerson & Tommi S. Jaakkola published 2008 in Advances in Neural Information Processing Systems 20

From random walks to distances on unweighted graphs ⬇️

artículo científico publicado en 2015

Game Theoretic Algorithms for Protein-DNA binding ⬇️

artículo científico publicado en 2007

Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices ⬇️

Generative Models for Graph-Based Protein Design ⬇️

artículo científico publicado en 2019

Information Regularization with Partially Labeled Data ⬇️

artículo científico publicado en 2003

K-ary clustering with optimal leaf ordering for gene expression data

artículo científico publicado en 2003

Kernel Expansions with Unlabeled Examples ⬇️

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions ⬇️

Learning Tree Structured Potential Games ⬇️

artículo científico publicado en 2016

Lineage-based identification of cellular states and expression programs ⬇️

artículo científico publicado el 15 de junio de 2012

Linear Dependent Dimensionality Reduction ⬇️

artículo científico publicado en 2004

Local Aggregative Games ⬇️

artículo científico publicado en 2017

Maximum Entropy Discrimination ⬇️

artículo científico publicado en 2000

Maximum-Margin Matrix Factorization ⬇️

Modeling Persistent Trends in Distributions

scientific article published on 12 June 2018

Modeling the combinatorial functions of multiple transcription factors.

artículo científico publicado en 2006

More data means less inference: A pseudo-max approach to structured learning ⬇️

article by David Sontag et al published 2010 in Advances in Neural Information Processing Systems 23

New Outer Bounds on the Marginal Polytope ⬇️

artículo científico publicado en 2008

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations ⬇️

On the Dirichlet Prior and Bayesian Regularization ⬇️

artículo científico publicado en 2003

Online Learning of Non-stationary Sequences ⬇️

artículo científico publicado en 2004

Parameter Expanded Variational Bayesian Methods ⬇️

artículo científico publicado en 2007

Partially labeled classification with Markov random walks ⬇️

Physical network models

artículo científico publicado en 2004

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network ⬇️

artículo científico publicado en 2017

Prediction of Organic Reaction Outcomes Using Machine Learning

artículo científico publicado en 2017

Principal Differences Analysis: Interpretable Characterization of Differences between Distributions ⬇️

Recursive Algorithms for Approximating Probabilities in Graphical Models ⬇️

artículo científico publicado en 1997

Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems ⬇️

artículo científico publicado en 1995

Reinforcement Learning with Soft State Aggregation ⬇️

artículo científico publicado en 1995

Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo

artículo científico publicado en 2006

Sequentially Fitting ``Inclusive'' Trees for Inference in Noisy-OR Networks ⬇️

Solving graph compression via optimal transport ⬇️

Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010)

scholarly article by Teemu Roos et al published December 2012 in International Journal of Approximate Reasoning

Style Transfer from Non-Parallel Text by Cross-Alignment ⬇️

artículo científico publicado en 2017

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers ⬇️

Towards Robust Interpretability with Self-Explaining Neural Networks ⬇️

Tree-based reparameterization for approximate inference on loopy graphs ⬇️

Validation and refinement of gene-regulatory pathways on a network of physical interactions

artículo científico publicado en 2005

Lista de obras de

A Game Theoretic Approach to Class-wise Selective Rationalization ⬇️

A graph-convolutional neural network model for the prediction of chemical reactivity

A synergistic DNA logic predicts genome-wide chromatin accessibility

Active Information Retrieval ⬇️

Approximate inference using planar graph decomposition ⬇️

Approximating Posterior Distributions in Belief Networks Using Mixtures ⬇️

Automated discovery of functional generality of human gene expression programs

Autonomous, multiproperty-driven molecular discovery: From predictions to measurements and back

Bayesian network approach to cell signaling pathway modeling

Bias-Corrected Bootstrap and Model Uncertainty ⬇️

Clusters and Coarse Partitions in LP Relaxations ⬇️

Combining location and expression data for principled discovery of genetic regulatory network models

Comparing the continuous representation of time-series expression profiles to identify differentially expressed genes

Computational discovery of gene modules and regulatory networks

Continuous representations of time-series gene expression data

Controlling privacy in recommender systems ⬇️

Convergence Rate Analysis of MAP Coordinate Minimization Algorithms ⬇️

Convergence of Stochastic Iterative Dynamic Programming Algorithms ⬇️

Convolutional Embedding of Attributed Molecular Graphs for Physical Property Prediction

Current and Future Roles of Artificial Intelligence in Medicinal Chemistry Synthesis

Direct Optimization through arg max for Discrete Variational Auto-Encoder ⬇️

Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape

Distributed Information Regularization on Graphs ⬇️

Exact MAP Estimates by (Hyper)tree Agreement ⬇️

Exploiting Generative Models in Discriminative Classifiers ⬇️

Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks ⬇️

Fixing Max-Product: Convergent Message Passing Algorithms for MAP LP-Relaxations ⬇️

From random walks to distances on unweighted graphs ⬇️

Game Theoretic Algorithms for Protein-DNA binding ⬇️

Generalization Error Bounds for Collaborative Prediction with Low-Rank Matrices ⬇️

Generative Models for Graph-Based Protein Design ⬇️

Information Regularization with Partially Labeled Data ⬇️

K-ary clustering with optimal leaf ordering for gene expression data

Kernel Expansions with Unlabeled Examples ⬇️

Learning Efficient Random Maximum A-Posteriori Predictors with Non-Decomposable Loss Functions ⬇️

Learning Tree Structured Potential Games ⬇️

Lineage-based identification of cellular states and expression programs ⬇️

Linear Dependent Dimensionality Reduction ⬇️

Local Aggregative Games ⬇️

Maximum Entropy Discrimination ⬇️

Maximum-Margin Matrix Factorization ⬇️

Modeling Persistent Trends in Distributions

Modeling the combinatorial functions of multiple transcription factors.

More data means less inference: A pseudo-max approach to structured learning ⬇️

New Outer Bounds on the Marginal Polytope ⬇️

On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations ⬇️

On the Dirichlet Prior and Bayesian Regularization ⬇️

Online Learning of Non-stationary Sequences ⬇️

Parameter Expanded Variational Bayesian Methods ⬇️

Partially labeled classification with Markov random walks ⬇️

Physical network models

Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network ⬇️

Prediction of Organic Reaction Outcomes Using Machine Learning

Principal Differences Analysis: Interpretable Characterization of Differences between Distributions ⬇️

Recursive Algorithms for Approximating Probabilities in Graphical Models ⬇️

Reinforcement Learning Algorithm for Partially Observable Markov Decision Problems ⬇️

Reinforcement Learning with Soft State Aggregation ⬇️

Semi-supervised analysis of gene expression profiles for lineage-specific development in the Caenorhabditis elegans embryo

Sequentially Fitting ``Inclusive'' Trees for Inference in Noisy-OR Networks ⬇️

Solving graph compression via optimal transport ⬇️

Special Issue on the Fifth European Workshop on Probabilistic Graphical Models (PGM-2010)

Style Transfer from Non-Parallel Text by Cross-Alignment ⬇️

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers ⬇️

Towards Robust Interpretability with Self-Explaining Neural Networks ⬇️

Tree-based reparameterization for approximate inference on loopy graphs ⬇️

Validation and refinement of gene-regulatory pathways on a network of physical interactions