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Poster
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Wed 11:00
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Neglected Hessian component explains mysteries in sharpness regularization
Yann Dauphin · Atish Agarwala · Hossein Mobahi
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Poster
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Thu 11:00
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Explaining Datasets in Words: Statistical Models with Natural Language Parameters
Ruiqi Zhong · Heng Wang · Dan Klein · Jacob Steinhardt
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Workshop
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Explainable Meta Bayesian Optimization with Human Feedback for Fusion Energy
Ricardo Luna Gutierrez · Sahand Ghorbanpour · Vineet Gundecha · Rahman Ejaz · Avisek Naug · Desik Rengarajan · Ashwin Ramesh Babu · Soumyendu Sarkar
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Workshop
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Explaining Chest X-ray Pathology Models using Textual Concepts
Vijay Sadashivaiah · Pingkun Yan · James Hendler
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Workshop
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Machines and Mathematical Mutations: Using GNNs to Characterize Quiver Mutation Classes
Jesse He · Helen Jenne · Herman Chau · Davis Brown · Mark Raugas · Sara Billey · Henry Kvinge
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Workshop
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Dynamic Beam Enumeration: A Bridge Between Generative Molecular Design and Library Screening
Victoire Lang · Jeff Guo · Philippe Schwaller
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Workshop
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TrialDura: Multimodal Hierarchical Attentive Transformer for Explainable Clinical Trial Duration Prediction
Ling YUE · Sixue Xing · Jonathan Li · MD ZABIRUL ISLAM · Bolun Xia · Jintai Chen · Tianfan Fu
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Workshop
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Sat 8:20
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AIM-FM: Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond
Yixuan Yuan · Yao Qin · Xiang Li · Ying Wei · Bulat Ibragimov · Linda Petzold
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Workshop
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Sun 12:00
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Improving Analog Neural Network Robustness: A Noise-Agnostic Approach with Explainable Regularizations
Alice Duque · Pedro Freire · Egor Manuylovich · Sergei K. Turitsyn · Jaroslaw Prilepsky · Dmitrii Stoliarov
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Workshop
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Explainable AI for computational pathology identifies model limitations and tissue biomarkers
Jakub Roman Kaczmarzyk · Joel Saltz · Peter Koo
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Workshop
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Position: In Defense of Post-hoc Explainability
Nick Oh
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Workshop
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Prioritizing Compression Explains Human Perceptual Preferences
Francisco López · Bertram Shi · Jochen Triesch
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