Poster

Wed 14:00

Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints
Halley Young · Maxwell Du · Osbert Bastani

Poster

Tue 14:00

Learning Manifold Dimensions with Conditional Variational Autoencoders
Yijia Zheng · Tong He · Yixuan Qiu · David P Wipf

Workshop

Explainable Deep Generative Models, Ancestral Fragments, and Murky Regions of the Protein Structure Universe
Eli Draizen · Cameron Mura · Philip Bourne

Poster

Tue 9:00

Deep Surrogate Assisted Generation of Environments
Varun Bhatt · Bryon Tjanaka · Matthew Fontaine · Stefanos Nikolaidis

Poster

Thu 9:00

Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang · Polina Kirichenko · Micah Goldblum · Andrew Wilson

Poster

Wed 9:00

Identifiability of deep generative models without auxiliary information
Bohdan Kivva · Goutham Rajendran · Pradeep Ravikumar · Bryon Aragam

Poster

On Translation and Reconstruction Guarantees of the Cycle-Consistent Generative Adversarial Networks
Anish Chakrabarty · Swagatam Das

Poster

Wed 14:00

Invertible Monotone Operators for Normalizing Flows
Byeongkeun Ahn · Chiyoon Kim · Youngjoon Hong · Hyunwoo Kim

Poster

Tue 9:00

Retrieval-Augmented Diffusion Models
Andreas Blattmann · Robin Rombach · Kaan Oktay · Jonas Müller · Björn Ommer

Workshop

Protein Structure and Sequence Generation with Equivariant Denoising Diffusion Probabilistic Models
Namrata Anand · Tudor Achim

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