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Workshop
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Generalized Prompt Tuning: How to Use a Frozen Pre-Trained Univariate Time Series Foundation Model for Multivariate Time Series Prediction
Mingzhu Liu · Angela Chen · George H Chen
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Workshop
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HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction
Gian Marco Visani · Michael Pun · William Galvin · Eric Daniel · Kevin Borisiak · Utheri Wagura · Armita Nourmohammad
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Workshop
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Estimating protein flexibility via uncertainty quantification of structure prediction models
Charlotte Sweeney · Nele Quast · Fabian Spoendlin · Yee Whye Teh
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Workshop
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Sat 10:30
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Decoding Strategy with Perceptual Rating Prediction for Language Model-Based Text-to-Speech Synthesis
Kazuki Yamauchi · Wataru Nakata · Yuki Saito · Hiroshi Saruwatari
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Workshop
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Tradeoffs of alignment-based and protein language models for predicting viral mutation effects
Noor Youssef · Sarah Gurev · Debora Marks
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Competition
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Sat 10:00
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Neural Network Prediction of Strong Lensing Systems with Domain Adaptation and Uncertainty Quantification
Shrihan Agarwal
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Workshop
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Sun 16:35
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Learning temperature-aware representations from millions of annotated protein sequences
Mingchen Li · Liang Zhang · Zilan Wang · Bozitao Zhong · Pan Tan · Jiabei Cheng · Bingxin Zhou · Liang Hong · Huiqun Yu
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Workshop
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Predictive Coding Graphs are a Superset of Feedforward Neural Networks
Björn van Zwol
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Workshop
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Enhancing Reinforcement Learning-Based Control of Wave Energy Converters Using Predictive Wave Modeling
Vineet Gundecha · Sahand Ghorbanpour · Ashwin Ramesh Babu · Arie Paap · Mathieu Cocho · Alexandre Pichard · Soumyendu Sarkar
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Workshop
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Homomorphism Counts as Structural Encodings for Molecular Property Prediction
Emily Jin · Linus Bao · Matthias Lanzinger · Ismail Ceylan · Michael Bronstein
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Workshop
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For Perception Tasks: The Cost of LLM Pretraining by Next-Token Prediction Outweigh its Benefits
Randall Balestriero · Hai Huang
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Workshop
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Weak-to-Strong Confidence Prediction
Yukai Yang · Tracy Zhu · Marco Morucci · Tim G. J. Rudner
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