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Workshop
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Explainable Deep Generative Models, Ancestral Fragments, and Murky Regions of the Protein Structure Universe
Eli Draizen · Cameron Mura · Philip Bourne
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Workshop
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Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim
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Workshop
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ZymCTRL: a conditional language model for the controllable generation of artificial enzymes
Noelia Ferruz
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Workshop
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Generating Reflexive Polytopes via Sequence Modeling
Bernt Ivar Utstøl Nødland
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Workshop
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Sat 11:30
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Generative models of non-Euclidean neural population dynamics
Kristopher Jensen
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Workshop
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3DGEN: A GAN-based approach for generating novel 3D models from image data
Antoine Schnepf · Ugo Tanielian · Flavian Vasile
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Workshop
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Can denoising diffusion probabilistic models generate realistic astrophysical fields?
Nayantara Mudur · Douglas P. Finkbeiner
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Poster
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Tue 9:00
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Deep Surrogate Assisted Generation of Environments
Varun Bhatt · Bryon Tjanaka · Matthew Fontaine · Stefanos Nikolaidis
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Poster
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Thu 14:00
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ShapeCrafter: A Recursive Text-Conditioned 3D Shape Generation Model
Rao Fu · Xiao Zhan · YIWEN CHEN · Daniel Ritchie · Srinath Sridhar
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Workshop
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Fri 3:50
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Desiderata for next generation of ML model serving
Sherif Akoush · Andrei Paleyes · Arnaud Van Looveren · Clive Cox
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Poster
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Thu 9:00
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Training and Inference on Any-Order Autoregressive Models the Right Way
Andy Shih · Dorsa Sadigh · Stefano Ermon
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Poster
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Tue 14:00
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Learning Manifold Dimensions with Conditional Variational Autoencoders
Yijia Zheng · Tong He · Yixuan Qiu · David P Wipf
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