25 citations · 26 across the 8 of their papers we have counts for
10 papers
Explainability from Training with Applications to TCR-Epitope Prediction
Jiarui Li, Zixiang Yin, Samuel Landry +2
Deep learning models have achieved strong performance in artificial intelligence for science, yet their black-box nature limits our understanding of how they learn scientific tasks…
Structure-Regularized Interpretable TCR-Epitope Prediction
Jiarui Li, Zixiang Yin, Yunbei Zhang +4
T cell receptor (TCR)-epitope binding prediction is essential for understanding adaptive immunity and developing immunotherapies. Existing sequence- and structure-based models ofte…
APLSuite: An Integrated Suite for CD4+ T Cell Epitope Prediction via Antigen Processing Likelihood
Jiarui Li, Marco K. Carbullido, Jai Bansal +2
Computational epitope prediction is a critical tool for exploring and understanding CD4+ T cell-mediated immune responses, a key aspect of adaptive immunity. While existing computa…
Why Does It Look There? Structured Explanations for Image Classification
Jiarui Li, Zixiang Yin, Samuel J Landry +2
Deep learning models achieve remarkable predictive performance, yet their black-box nature limits transparency and trustworthiness. Although numerous explainable artificial intelli…
TCR-EML: Explainable Model Layers for TCR-pMHC Prediction
Jiarui Li, Zixiang Yin, Zhengming Ding +2
T cell receptor (TCR) recognition of peptide-MHC (pMHC) complexes is a central component of adaptive immunity, with implications for vaccine design, cancer immunotherapy, and autoi…
Rational Multi-Modal Transformers for TCR-pMHC Prediction
Jiarui Li, Zixiang Yin, Zhengming Ding +2
T cell receptor (TCR) recognition of peptide-MHC (pMHC) complexes is fundamental to adaptive immunity and central to the development of T cell-based immunotherapies. While transfor…
Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding
Jiarui Li, Zixiang Yin, Haley Smith +3
CD8+ "killer" T cells and CD4+ "helper" T cells play a central role in the adaptive immune system by recognizing antigens presented by Major Histocompatibility Complex (pMHC) molec…
Toward Optimal FDM Toolpath Planning with Monte Carlo Tree Search
Chanyeol Yoo, Samuel Lensgraf, Robert Fitch +2
The most widely used methods for toolpath planning in fused deposition 3D printing slice the input model into successive 2D layers in order to construct the toolpath. Unfortunately…
Optimal Time Bounds for Approximate Clustering
Ramgopal Mettu, Greg Plaxton
Clustering is a fundamental problem in unsupervised learning, and has been studied widely both as a problem of learning mixture models and as an optimization problem. In this paper…
Adaptive Inference on General Graphical Models
Umut A. Acar, Alexander T. Ihler, Ramgopal Mettu +1
Many algorithms and applications involve repeatedly solving variations of the same inference problem; for example we may want to introduce new evidence to the model or perform upda…