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Workshop
Tackling Shortcut Learning in Deep Neural Networks: An Iterative Approach with Interpretable Models
Shantanu Ghosh · Ke Yu · Forough Arabshahi · Kayhan Batmanghelich
Workshop
Bridging the Gap: From Post Hoc Explanations to Inherently Interpretable Models for Medical Imaging
Shantanu Ghosh · Ke Yu · Forough Arabshahi · Kayhan Batmanghelich
Workshop
Is Task-Agnostic Explainable AI a Myth?
Alicja Chaszczewicz
Workshop
Curve your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models
Julien Siems · Konstantin Ditschuneit · Winfried Ripken · Alma Lindborg · Maximilian Schambach · Johannes Otterbach · Martin Genzel
Workshop
Fri 18:20 Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee · Avaljot Singh · Gagandeep Singh
Workshop
Automated Detection of Interpretable Causal Inference Opportunities: Regression Discontinuity Subgroup Discovery
Tong Liu · Patrick Lawlor · Lyle Ungar · Konrad Kording · Rahul Ladhania
Workshop
Interpreting Differentiable Latent States for Healthcare Time-series Data
Yu Chen · Nivedita Bijlani · Samaneh Kouchaki · Payam Barnaghi
Workshop
Participatory Personalization in Classification
Hailey Joren · Chirag Nagpal · Katherine Heller · Berk Ustun
Workshop
Fri 17:25 Deceptive Alignment Monitoring
Andres Carranza · Dhruv Pai · Rylan Schaeffer · Arnuv Tandon · Sanmi Koyejo
Workshop
Discovering Variable Binding Circuitry with Desiderata
Xander Davies · Max Nadeau · Nikhil Prakash · Tamar Shaham · David Bau
Workshop
(Un)interpretability of Transformers: a case study with Dyck grammars
Kaiyue Wen · Yuchen Li · Bingbin Liu · Andrej Risteski
Workshop
Sat 12:40 Genomic Interpreter: A Hierarchical Genomic Deep Neural Network with 1D Shifted Window Transformer
William Beardall · Zehui Li