Workshop

An "interpretable-by-design" neural network to decipher RNA splicing regulatory logic
Susan Liao · Mukund Sudarshan · Oded Regev

Workshop

Learning and Shaping Manifold Attractors for Computation in Gated Neural ODEs
Timothy Kim · Tankut Can · Kamesh Krishnamurthy

Workshop

What Makes a Good Explanation?: A Unified View of Properties of Interpretable ML
Varshini Subhash · Zixi Chen · Marton Havasi · Weiwei Pan · Finale Doshi-Velez

Workshop

Interpretable Encoding of Galaxy Spectra
Yan Liang · Peter Melchior · Sicong Lu

Workshop

Making the World More Equal, One Ride at a Time: Studying Public Transportation Initiatives Using Interpretable Causal Inference
Gaurav Rajesh Parikh · Albert Sun · Jenny Huang · Lesia Semenova · Cynthia Rudin

Workshop

Solar Flare Forecasting with Data-driven Interpretable Model
JiaMeng Lv · Peng Jia · 陈风 · 杨过 · Tie Liu

Workshop

Representation Learning to Effectively Integrate and Interpret Omics Data
Sara Masarone

Workshop

Representation Learning to Integrate and Interpret Omics Data
Sara Masarone

Workshop

Wide Attention Is The Way Forward For Transformers
Jason Brown · Yiren Zhao · I Shumailov · Robert Mullins

Workshop

A Neural ODE Interpretation of Transformer Layers
Yaofeng Zhong · Tongtao Zhang · Amit Chakraborty · Biswadip Dey

Workshop

Utilizing Mutations to Evaluate Interpretability of Neural Networks on Genomic Data
Utku Ozbulak · Solha Kang · Jasper Zuallaert · Stephen Depuydt · Joris Vankerschaver

Workshop

Interpretable visualization of single cell data using Janus autoencoders
Gokul Gowri · Phillipa Richter · Xiaokang Lun · Peng Yin