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Workshop
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Sun 15:30
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Contributed talk: The State of Julia for Scientific Machine Learning
Edward Berman
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Workshop
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The State of Julia for Scientific Machine Learning
Edward Berman · Jacob Ginesin
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Affinity Event
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Energy Efficient Machine Learning and Deep Learning Methods for Mosquito Classification
Danika Gupta · Ming Zhao · Awani Gadre
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Poster
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Thu 16:30
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Efficient Convex Algorithms for Universal Kernel Learning
Aleksandr Talitckii · Brendon Colbert · Matthew Peet
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Poster
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Wed 16:30
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Automating Data Annotation under Strategic Human Agents: Risks and Potential Solutions
Tian Xie · Xueru Zhang
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Poster
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Thu 11:00
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Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
Yuanjie Shi · Subhankar Ghosh · Taha Belkhouja · Jana Doppa · Yan Yan
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Workshop
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StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Yiran Wu · Tianwei Yue · Shaokun Zhang · Chi Wang · Qingyun Wu
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Poster
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Thu 11:00
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Exploring Adversarial Robustness of Deep State Space Models
Biqing Qi · Yiang Luo · Junqi Gao · Pengfei Li · Kai Tian · Zhiyuan Ma · Bowen Zhou
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Poster
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Thu 16:30
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Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms
Marc Wanner · Laura Lewis · Chiranjib Bhattacharyya · Devdatt Dubhashi · Alexandru Gheorghiu
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Poster
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Thu 11:00
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Noisy Label Learning with Instance-Dependent Outliers: Identifiability via Crowd Wisdom
Tri Nguyen · Shahana Ibrahim · Xiao Fu
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Workshop
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Interpretable AI in Human-Machine Systems: Insights from Human-in-the-Loop Product Recommendation Engines
Pooria Assadi · NIMA SAFAEI
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Workshop
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LLM-Assisted Red Teaming of Diffusion Models through "Failures Are Fated, But Can Be Faded"
Som Sagar · Aditya Taparia · Ransalu Senanayake
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