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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