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Alexandros Kalousis

Critical Iterative Denoising: A Discrete Generative Model Applied to Graphs

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Mar 27, 2025
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MING: A Functional Approach to Learning Molecular Generative Models

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Oct 16, 2024
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Kolmogorov-Smirnov GAN

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Jun 28, 2024
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Discrete Latent Graph Generative Modeling with Diffusion Bridges

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Mar 25, 2024
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Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability

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Oct 20, 2023
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Sample-Efficient On-Policy Imitation Learning from Observations

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Jun 16, 2023
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Vector-Quantized Graph Auto-Encoder

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Jun 13, 2023
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GrannGAN: Graph annotation generative adversarial networks

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Dec 01, 2022
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Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models

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Oct 24, 2022
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Permutation Equivariant Generative Adversarial Networks for Graphs

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Dec 07, 2021
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