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