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06/27/2023
Learning from Invalid Data: On Constraint Satisfaction in Generative Models
Generative models have demonstrated impressive results in vision, langua...
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05/29/2023
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Generative models have had a profound impact on vision and language, pav...
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03/17/2023
Diffusing the Optimal Topology: A Generative Optimization Approach
Topology Optimization seeks to find the best design that satisfies a set...
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01/29/2023
Unifying Molecular and Textual Representations via Multi-task Language Modelling
The recent advances in neural language models have also been successfull...
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10/21/2022
Just Mix Once: Worst-group Generalization by Group Interpolation
Advances in deep learning theory have revealed how average generalizatio...
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07/08/2022
GT4SD: Generative Toolkit for Scientific Discovery
With the growing availability of data within various scientific domains,...
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05/30/2022
Few-Shot Diffusion Models
Denoising diffusion probabilistic models (DDPM) are powerful hierarchica...
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10/23/2021
Hierarchical Few-Shot Generative Models
A few-shot generative model should be able to generate data from a distr...
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04/07/2020
Real-time Classification from Short Event-Camera Streams using Input-filtering Neural ODEs
Event-based cameras are novel, efficient sensors inspired by the human v...
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12/09/2019
No Representation without Transformation
We propose to extend Latent Variable Models with a simple idea: learn to...
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12/17/2018