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16 Results
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Workshop
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Enhancing the Expressivity of Temporal Graph Networks through Source-Target Identification Benedict Aaron Tjandra · Federico Barbero · Michael Bronstein |
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Workshop
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Exploring Task Affinities through NTK Alignment and Early Training Dynamics in Multi-Task Learning Yoann Morello · Emilie Grégoire · Sam Verboven |
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Affinity Event
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Smart Labeling for Dynamic Node Classification Farimah Poursafaei · Pratheeksha Nair · Reihaneh Rabbany |
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Workshop
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Does Structural Information Improve ESM3 for Protein Binding Affinity Prediction? Thomas Loux · Dianzhuo Wang |
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Poster
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Thu 11:00 |
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning Arko Banerjee · Kia Rahmani · Joydeep Biswas · Isil Dillig |
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Poster
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Thu 16:30 |
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma · Haixu Wu · Lanxiang Xing · Shangchen Miao · Mingsheng Long |
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Poster
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Multi-model Ensemble Conformal Prediction in Dynamic Environments Erfan Hajihashemi · Yanning Shen |
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Workshop
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Active Learning for Affinity Prediction of Antibodies Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar |
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Poster
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Thu 16:30 |
Using Time-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs Franziska Heeg · Ingo Scholtes |
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Workshop
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Probabilistic predictions with Fourier neural operators Christopher Bülte · Philipp Scholl · Gitta Kutyniok |
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Workshop
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Active Learning for Affinity Prediction of Antibodies Alexandra Gessner · Sebastian Ober · Owen Vickery · Dino Oglic · Talip Ucar |
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Workshop
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Sat 12:00 |
Enhancing Semantic Clustering for Uncertainty Quantification & Conformal Prediction by LLMs Ramneet Kaur · Colin Samplawski · Adam Cobb · Anirban Roy · Brian Matejek · Manoj Acharya · Daniel Elenius · Alexander Berenbeim · John Pavlik · Nathaniel Bastian · Susmit Jha |