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Affinity Workshop
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FMAM: A novel Factorization Machine based Attention Mechanism for Forecasting Time Series Data
Fahim Azad
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Poster
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Nonnegative Tensor Completion via Integer Optimization
Caleb Bugg · Chen Chen · Anil Aswani
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Workshop
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MLPfold: Identification of transition state ensembles in molecular dynamics simulations using machine learning
Preetham Venkatesh
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Affinity Workshop
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Stronger is not better: Better Augmentations in Contrastive Learning for Medical Image Segmentation
Azeez Idris · Abdurahman Ali Mohammed · Samuel Fanijo
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Workshop
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Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
Junwen Bai · Yuanqi Du · Yingheng Wang · Shufeng Kong · John Gregoire · Carla Gomes
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Poster
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Tue 9:00
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A composable machine-learning approach for steady-state simulations on high-resolution grids
Rishikesh Ranade · Chris Hill · Lalit Ghule · Jay Pathak
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Poster
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Tracking Functional Changes in Nonstationary Signals with Evolutionary Ensemble Bayesian Model for Robust Neural Decoding
Xinyun Zhu · Yu Qi · Gang Pan · Yueming Wang
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Poster
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Wed 9:00
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Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
Sanket Shah · Kai Wang · Bryan Wilder · Andrew Perrault · Milind Tambe
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Affinity Workshop
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Comparison of Classification Algorithms for Predicting Completeness of Measles Vaccination
Peter Oseghale Ohue · Oluyemi Adewole Okunlola
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Poster
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Tue 14:00
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Value Function Decomposition for Iterative Design of Reinforcement Learning Agents
James MacGlashan · Evan Archer · Alisa Devlic · Takuma Seno · Craig Sherstan · Peter Wurman · Peter Stone
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Poster
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Wed 9:00
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One-shot Neural Backdoor Erasing via Adversarial Weight Masking
Shuwen Chai · Jinghui Chen
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Affinity Workshop
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Privacy-Preserving Online Mirror Descent With Single-Sided Trust for Federated Learning
Olusola Odeyomi · Gergely Zaruba
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