Asilomar 2023
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Technical Program
Session TA6a3
Paper TA6a3.1
TA6a3.1
Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe, Rice University, United States
Session:
TA6a3: Modern Applications (Invited)
Poster
Track:
Adaptive Systems, Machine Learning, Data Analytics
Location:
Kiln
Presentation Time:
Tue, 31 Oct, 08:15 - 09:55 PT (UTC -7)
Session Chair:
Mohammad Taha Toghani, Rice University
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Session TA6a3
TA6a3.1: Improving Denoising Diffusion Probabilistic Models via Exploiting Shared Representations
Delaram Pirhayatifard, Mohammad Taha Toghani, Guha Balakrishnan, César A. Uribe, Rice University, United States
TA6a3.2: Providing Safety Guarantees for Networked Epidemics
Brooks Butler, Philip Pare, Purdue University, United States
TA6a3.3: Linear Stochastic Bandits over a Bit-Constrained Channel
Aritra Mitra, North Carolina State University, United States; Hamed Hassani, George Pappas, University of Pennsylvania, United States
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