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Workshop
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GraphRAG: Reasoning on Graphs with Retrieval-Augmented LLMs
Zhen Han · Anand Muralidhar · Aditya Degala
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Workshop
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TriFold: A New Architecture for Predicting Protein Sequences from Structural Data
Harish Srinivasan · Jian Zhou
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Poster
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Thu 15:00
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Collaboratively Learning Linear Models with Structured Missing Data
Chen Cheng · Gary Cheng · John Duchi
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Workshop
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Transfer Learning for Structured Pruning under Limited Task Data
Lucio M Dery · Awni Hannun · David Grangier
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Workshop
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How Structured Data Guides Feature Learning: A Case Study of the Parity Problem
Atsushi Nitanda · Kazusato Oko · Taiji Suzuki · Denny Wu
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Workshop
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Structure-based and leakage-free data splits for rigorous protein function evaluation
Charlotte Rochereau · Mohammed AlQuraishi · Arthur Valentin · Gergo Nikolenyi
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Poster
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Wed 8:45
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Gradient-Based Feature Learning under Structured Data
Alireza Mousavi-Hosseini · Denny Wu · Taiji Suzuki · Murat Erdogdu
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Workshop
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CHIRon: A Generative Foundation Model for Structured Sequential Medical Data
Brian Hill · Melika Emami · Vijay Nori · Aldo Cordova-Palomera · Robert Tillman · Eran Halperin
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Workshop
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IngesTables: Scalable and Efficient Training of LLM-Enabled Tabular Foundation Models
Scott Yak · Yihe Dong · Javier Gonzalvo · Sercan Arik
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Workshop
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Fri 12:16
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IngesTables: Scalable and Efficient Training of LLM-Enabled Tabular Foundation Models
Scott Yak · Yihe Dong · Javier Gonzalvo · Sercan Arik
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Workshop
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Latent Conservative Objective Models for Data-Driven Crystal Structure Prediction
Han Qi · Stefano Rando · XINYANG GENG · Iku Ohama · Aviral Kumar · Sergey Levine
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Poster
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Thu 8:45
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Causal de Finetti: On the Identification of Invariant Causal Structure in Exchangeable Data
Siyuan Guo · Viktor Toth · Bernhard Schölkopf · Ferenc Huszar
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