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264 Results
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Workshop
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Carbon-Aware Spatio-Temporal Workload Distribution in Cloud Data Center Clusters Using Reinforcement Learning Soumyendu Sarkar · Antonio Guillen-Perez · Vineet Gundecha · Avisek Naug · Ricardo Luna Gutierrez · Sajad Mousavi |
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Poster
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Wed 16:30 |
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models Jinhee Kim · Taesung Kim · Jaegul Choo |
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Workshop
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Learning multi-cellular representations of single-cell transcriptomics data enables characterization of patient-level disease states Tianyu Liu · Edward De Brouwer · Tony Kuo · Nathaniel Diamant · Missarova Alsu · Minsheng Hao · Hanchen Wang · Hector Corrada Bravo · Gabriele Scalia · Aviv Regev · Graham Heimberg |
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Workshop
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The Power of LLM-Generated Synthetic Data for Stance Detection in Online Political Discussions Stefan Sylvius Wagner · Maike Behrendt · Marc Ziegele · Stefan Harmeling |
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Workshop
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Sun 8:15 |
NeurIPS 2024 Workshop: Machine Learning and the Physical Sciences Siddharth Mishra-Sharma · Nicole Hartman · Vinicius Mikuni · Mariel Pettee · Sebastian Wagner-Carena · Antoine Wehenkel · Kyle Cranmer · Savannah Thais · Benjamin Nachman · Brian Nord |
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Workshop
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GAMformer: Exploring In-Context Learning for Generalized Additive Models Andreas Mueller · Julien Siems · Harsha Nori · David Salinas · Arber Zela · Rich Caruana · Frank Hutter |
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Poster
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Fri 11:00 |
FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation Kun Chen · Peng Ye · Hao Chen · kang chen · Tao Han · Wanli Ouyang · Tao Chen · LEI BAI |
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Poster
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Wed 11:00 |
Vision Model Pre-training on Interleaved Image-Text Data via Latent Compression Learning CHENYU YANG · Xizhou Zhu · Jinguo Zhu · Weijie Su · Junjie Wang · Xuan Dong · Wenhai Wang · Bin Li · Jie Zhou · Yu Qiao · Jifeng Dai |
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Workshop
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Enhancing Sustainability in Liquid-Cooled Data Centers with Reinforcement Learning Control Avisek Naug · Antonio Guillen-Perez · Vineet Gundecha · Ricardo Luna Gutierrez · Ashwin Ramesh Babu · Sajad Mousavi · Cullen Bash · Soumyendu Sarkar |
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Poster
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Wed 11:00 |
Drift-Resilient TabPFN: In-Context Learning Temporal Distribution Shifts on Tabular Data Kai Helli · David Schnurr · Noah Hollmann · Samuel Müller · Frank Hutter |
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Workshop
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Can we pre-train ICL-based SFMs for the zero-shot inference of the 1D CDR problem with noisy data? Mingu Kang · Dongseok Lee · Woojin Cho · Kookjin Lee · Anthony Gruber · Nathaniel Trask · Youngjoon Hong · Noseong Park |
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Poster
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Thu 11:00 |
The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning Ruben Ohana · Michael McCabe · Lucas Meyer · Rudy Morel · Fruzsina Agocs · Miguel Beneitez · Marsha Berger · Blakesly Burkhart · Stuart Dalziel · Drummond Fielding · Daniel Fortunato · Jared Goldberg · Keiya Hirashima · Yan-Fei Jiang · Rich Kerswell · Suryanarayana Maddu · Jonah Miller · Payel Mukhopadhyay · Stefan Nixon · Jeff Shen · Romain Watteaux · Bruno Régaldo-Saint Blancard · François Rozet · Liam Parker · Miles Cranmer · Shirley Ho |