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Poster
Fri 11:00 Combining Observational Data and Language for Species Range Estimation
Max Hamilton · Christian Lange · Elijah Cole · Alexander Shepard · Samuel Heinrich · Oisin Mac Aodha · Grant Van Horn · Subhransu Maji
Poster
Thu 11:00 On the Scalability of Certified Adversarial Robustness with Generated Data
Thomas Altstidl · David Dobre · Arthur Kosmala · Bjoern Eskofier · Gauthier Gidel · Leo Schwinn
Workshop
Unraveling the Latent Hierarchical Structure of Language and Images via Diffusion Models
Antonio Sclocchi · Noam Levi · Alessandro Favero · Matthieu Wyart
Workshop
Sat 11:05 TabSketchFM: Sketch-based Tabular Representation Learning for Data Discovery over Data Lakes
Aamod Khatiwada · Harsha Kokel · Ibrahim Abdelaziz · Subhajit Chaudhury · Julian T Dolby · Oktie Hassanzadeh · Zhenhan Huang · Tejaswini Pedapati · Horst Samulowitz · Kavitha Srinivas
Poster
Thu 11:00 EEVR: A Dataset of Paired Physiological Signals and Textual Descriptions for Joint Emotion Representation Learning
Pragya Singh · Ritvik Budhiraja · Ankush Gupta · Anshul Goswami · Mohan Kumar · Pushpendra Singh
Workshop
Adapting TabPFN for Zero-Inflated Metagenomic Data
Giulia Perciballi · Federica Granese · Ahmad Fall · Farida ZEHRAOUI · Edi Prifti · Jean-Daniel Zucker
Poster
Wed 11:00 SustainDC: Benchmarking for Sustainable Data Center Control
Avisek Naug · Antonio Guillen-Perez · Ricardo Luna Gutierrez · Vineet Gundecha · Cullen Bash · Sahand Ghorbanpour · Sajad Mousavi · Ashwin Ramesh Babu · Dejan Markovikj · Lekhapriya Dheeraj Kashyap · Desik Rengarajan · Soumyendu Sarkar
Workshop
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 · Liam Parker · Miles Cranmer · Shirley Ho
Workshop
Interpretable Causal Representation Learning for Biological Data in the Pathway Space
Jesus de la Fuente Cedeño · Robert Lehmann · Carlos Ruiz-Arenas · Irene Marín Goñi · Jan Voges · Xabier Martíneznez-de-Morentin · David Gomez-Cabrero · Idoia Ochoa · Jesper Tegner · Vincenzo Lagani · Mikel Hernaez
Workshop
Scalable physics-guided data-driven component model reduction for steady Navier-Stokes flow
Seung Whan Chung · Youngsoo Choi · Pratanu Roy · Thomas Roy · Tiras Y. Lin · Du Nguyen · Christopher Hahn · Eric Duoss · Sarah Baker
Workshop
Optimizing the IFMIF-DONES Particle Accelerator with Differentiable Deep Learning Surrogate Models
Galo Gallardo · Guillermo Rodriguez Llorente · Lucas Magariños · Rodrigo Morant Navascués · Nikita Kkhvatkin Petrovsky · Roberto Gómez-Espinosa Martín
Poster
Wed 16:30 The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data
Eirini Angeloudi · Jeroen Audenaert · Micah Bowles · Benjamin M. Boyd · David Chemaly · Brian Cherinka · Ioana Ciucă · Miles Cranmer · Aaron Do · Matthew Grayling · Erin E. Hayes · Tom Hehir · Shirley Ho · Marc Huertas-Company · Kartheik Iyer · Maja Jablonska · Francois Lanusse · Henry Leung · Kaisey Mandel · Rafael Martínez-Galarza · Peter Melchior · Lucas Meyer · Liam Parker · Helen Qu · Jeff Shen · Michael Smith · Connor Stone · Mike Walmsley · John Wu