Publications (29)
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge
Houssam Nassif, Hassan Al-Ali, Sawsan Khuri +2
MALADE: Orchestration of LLM-powered Agents with Retrieval Augmented Generation for Pharmacovigilance
Jihye Choi, Nils Palumbo, Prasad Chalasani +4
Computational Drug Repositioning Using Continuous Self-controlled Case Series
Zhaobin Kuang, James Thomson, Michael Caldwell +3
A Simple Text Mining Approach for Ranking Pairwise Associations in Biomedical Applications
Finn Kuusisto, John Steill, Zhaobin Kuang +3
An Efficient Pseudo-likelihood Method for Sparse Binary Pairwise Markov Network Estimation
Sinong Geng, Zhaobin Kuang, David Page
AutoBlock: A Hands-off Blocking Framework for Entity Matching
Wei Zhang, Hao Wei, Bunyamin Sisman +3
Neural Markov Prolog
Alexander Thomson, David Page
Cosmos 3: Omnimodal World Models for Physical AI
NVIDIA, :, Aditi +293
Demand-Driven Clustering in Relational Domains for Predicting Adverse Drug Events
Jesse Davis, Vitor Santos Costa, Peggy Peissig +3
Variable Importance Matching for Causal Inference
Quinn Lanners, Harsh Parikh, Alexander Volfovsky +2
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models
Boyao Li, Alexander J. Thomson, Houssam Nassif +2
High-Throughput Approach to Modeling Healthcare Costs Using Electronic Healthcare Records
Alex Taylor, Ross Kleiman, Scott Hebbring +2
Graphical-model Based Multiple Testing under Dependence, with Applications to Genome-wide Association Studies
Jie Liu, Chunming Zhang, Catherine McCarty +3
Stochastic Learning for Sparse Discrete Markov Random Fields with Controlled Gradient Approximation Error
Sinong Geng, Zhaobin Kuang, Jie Liu +2
High-Throughput Machine Learning from Electronic Health Records
Ross S. Kleiman, Paul S. Bennett, Peggy L. Peissig +5
Learning Bayesian Network Structure from Correlation-Immune Data
Eric Lantz, Soumya Ray, David Page
Unachievable Region in Precision-Recall Space and Its Effect on Empirical Evaluation
Kendrick Boyd, Vitor Santos Costa, Jesse Davis +1
CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods
Wei Zhang, Thomas Kobber Panum, Somesh Jha +2
Cosmos World Foundation Model Platform for Physical AI
NVIDIA, :, Niket Agarwal +76
Temporal Poisson Square Root Graphical Models
Sinong Geng, Zhaobin Kuang, Peggy Peissig +1
CLP(BN): Constraint Logic Programming for Probabilistic Knowledge
Vitor Santos Costa, David Page, Maleeha Qazi +1
Differentially Private Multi-Site Treatment Effect Estimation
Tatsuki Koga, Kamalika Chaudhuri, David Page
Training Video Foundation Models with NVIDIA NeMo
Zeeshan Patel, Ethan He, Parth Mannan +26
Machine Learning to Predict Developmental Neurotoxicity with High-throughput Data from 2D Bio-engineered Tissues
Finn Kuusisto, Vitor Santos Costa, Zhonggang Hou +3
Phases Of N=2 Theories In 1+1 Dimensions With Boundary
Manfred Herbst, Kentaro Hori, David Page
Predicting Drug-Drug Interactions from Heterogeneous Data: An Embedding Approach
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli +2
Privacy-Preserving Collaborative Prediction using Random Forests
Irene Giacomelli, Somesh Jha, Ross Kleiman +2
Probably Approximately Correct Causal Discovery
Mian Wei, Somesh Jha, David Page
Beyond Textual Data: Predicting Drug-Drug Interactions from Molecular Structure Images using Siamese Neural Networks
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli +2