From Deep Learning to Large Language Models
INVITED · MAR-T11 · ID: 2763637
Presentations
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An analytic theory for the origins of creativity in diffusion models
ORAL · Invited
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Presenters
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Surya Ganguli
Stanford University
Authors
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Surya Ganguli
Stanford University
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Neural Networks as Spin Models: From Glass to Hidden Order Through Training
ORAL · Invited
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Publication: arXiv:2408.06421
Presenters
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Victor Galitski
University of Maryland, College Park, University of Maryland College Park
Authors
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Victor Galitski
University of Maryland, College Park, University of Maryland College Park
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Richard D Barney
University of Maryland, College Park, University of Maryland College Park
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Michael Winer
University of Maryland College Park
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Automating Hartree-Fock mean-field theory for condensed matter physics
ORAL · Invited
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Publication: arXiv:2403.03154
Presenters
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Haining Pan
Rutgers University, Cornell University, Rutgers University
Authors
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Haining Pan
Rutgers University, Cornell University, Rutgers University
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Nayantara Mudur
Harvard University, Google Research
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William Taranto
Cornell University
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Maria Tikhanovskaya
Harvard University
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Subhashini Venugopalan
Google Research
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Yasaman Bahri
Google DeepMind
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Michael P Brenner
Harvard University, Harvard University/Google Research
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Eun-Ah Kim
Cornell University
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Building AI research assistants with agentic workflow
ORAL · Invited
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Presenters
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Xiao-Liang Qi
Stanford University
Authors
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Xiao-Liang Qi
Stanford University
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Large language models for scientific discovery
ORAL · Invited
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Presenters
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Michael P Brenner
Harvard University, Harvard University/Google Research
Authors
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Michael P Brenner
Harvard University, Harvard University/Google Research
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