Thomas Lukasiewicz

papers

1,695

total citations

papers (17)

E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

ICCV 2021arXiv

110

citations

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

CVPR 2021arXiv

110

citations

Associative Memories via Predictive Coding

NEURIPS 2021arXiv

citations

Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation

NEURIPS 2020arXiv

citations

Learning on Arbitrary Graph Topologies via Predictive Coding

NEURIPS 2022arXiv

citations

Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation

CVPR 2022arXiv

citations

Benchmarking Predictive Coding Networks -- Made Simple

ICLR 2025arXiv

citations

Predictive Coding beyond Gaussian Distributions

NEURIPS 2022arXiv

citations

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

AAAI 2024arXiv

citations

Predictive Coding beyond Correlations

ICML 2024arXiv

citations

Shh, don't say that! Domain Certification in LLMs

ICLR 2025arXiv

citations

Towards Certification of Uncertainty Calibration under Adversarial Attacks

ICLR 2025arXiv

citations

Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks

NEURIPS 2020

citations

Thomas Lukasiewicz

papers (17)

Mathematical Capabilities of ChatGPT

ManiGAN: Text-Guided Image Manipulation

BoxE: A Box Embedding Model for Knowledge Base Completion

Coherent Hierarchical Multi-Label Classification Networks

E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Associative Memories via Predictive Coding

Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation

Learning on Arbitrary Graph Topologies via Predictive Coding

Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation

Benchmarking Predictive Coding Networks -- Made Simple

Predictive Coding beyond Gaussian Distributions

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Predictive Coding beyond Correlations

Shh, don't say that! Domain Certification in LLMs

Towards Certification of Uncertainty Calibration under Adversarial Attacks

Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks

papers (17)

Mathematical Capabilities of ChatGPT

ManiGAN: Text-Guided Image Manipulation

BoxE: A Box Embedding Model for Knowledge Base Completion

Coherent Hierarchical Multi-Label Classification Networks

E-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Associative Memories via Predictive Coding

Lightweight Generative Adversarial Networks for Text-Guided Image Manipulation

Learning on Arbitrary Graph Topologies via Predictive Coding

Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation

Benchmarking Predictive Coding Networks -- Made Simple

Predictive Coding beyond Gaussian Distributions

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Predictive Coding beyond Correlations

Shh, don't say that! Domain Certification in LLMs

Towards Certification of Uncertainty Calibration under Adversarial Attacks

Can the Brain Do Backpropagation? --- Exact Implementation of Backpropagation in Predictive Coding Networks