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ECCV2020 tutorial - Deep Declarative Networks (DDN) - Introduction
ECCV 2020 - Deep Declarative Networks (DDN) and Differentiable Optimization Layers - Q&A 2
DDN Invited Talk: On differentiable optimization for control and vision (Brandon Amos)
Differentiable convex optimization layers (TF Dev Summit '20)
ECCV2020 tutorial - Deep Declarative Networks (DDN) - Applications
Models as Code: Differentiable Programming with Zygote
Learning with Differentiable Perturbed Optimizers
DeepHandMesh (Weakly-Supervised High-Fidelity Hand Mesh Modeling. ECCV 2020. Oral presentation.)
On the Power of Differentiable Learning
CPAIOR 2022 Master Class: Differentiable Optimization-based Modeling for Machine Learning
Deep Dive
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Last Updated: October 19, 2026
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Speaker: Akshay Agrawal, Stanford Speaker: Dr. Brandon Amos, FAIR Speaker: Dr. Dylan Campbell, ANU. Speaker: Prof. Stephen Gould, ANU. Scientific computing is increasingly incorporating the advancements in machine learning and the ability to work with large ... Speaker: BERTHET Quentin (Google Paris, France) Youth in High-dimensions: Machine Learning, High-dimensional Statistics ... Gyeongsik Moon, Takaaki Shiratori, Kyoung Mu Lee. "DeepHandMesh: A Weakly-Supervised Deep Encoder-Decoder Framework ... Nathan Srebro (Toyota Technological Institute at Chicago) simons.berkeley.edu/talks/tba-145 Joint IFML/CCSI Symposium. CPAIOR 2022 master class by Brandon Amos. Abstract: This talk tours the foundations and applications of
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