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| | Preview | Author(s) | Title | Type | Issue Date |
| 1 | | Xu, Zhenghua ; Wang, Zhenzhen ; Liu, Jing ; Li, Bo ; Ma, Xijia ; Zhan, Yuefu ; Yang, Runhe ; Lukasiewicz, Thomas | HGR-DiffSeg: Hybrid-guided robust diffusion model for medical image segmentation | Article Artikel  | 1-Sep-2026 |
| 2 | | Wang, Xiangtao ; Wang, Ruizhi ; Lukasiewicz, Thomas ; Xu, Zhenghua | AMLP: Adjustable Masking Lesion Patches for Self-Supervised Medical Image Segmentation | Article Artikel | May-2026 |
| 3 | | Xu, Zhenghua ; Liu, Yunxin ; Yuan, Di ; Li, Bo ; Liu, Weipeng ; Lukasiewicz, Thomas | You Need Glimpse Before Segmentation: Stochastic Detector-Actor-Critic for Medical Image Segmentation | Article Artikel | May-2026 |
| 4 | | Salvatori, Tommaso ; Mali, Ankur ; Buckley, Christopher L. ; Lukasiewicz, Thomas ; Rao, Rajesh P.N. ; Friston, Karl ; Ororbia, Alexander | A survey on neuro-mimetic deep learning via predictive coding | Article Artikel | Mar-2026 |
| 5 | | Xu, Zhenghua ; Tang, Jiaqi ; Yao, Dan ; Wang, Zhenzhen ; Lukasiewicz, Thomas | AttCL-GAN: Attentional contrastive learning-based generative adversarial network for modality completion of medical images | Article Artikel | 15-Feb-2026 |
| 6 | | Wang, Ruizhi ; Xu, Zhenghua ; Wang, Xiangtao ; Liu, Weipeng ; Lukasiewicz, Thomas | C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network | Article Artikel | Jan-2026 |
| 7 | | Stoian, Mihaela C. ; Giunchiglia, Eleonora ; Lukasiewicz, Thomas | A Survey on Deep Learning Approaches for Tabular Data Generation:Utility, Alignment, Fidelity, Privacy, Diversity, and Beyond | Article Artikel | 2026 |
| 8 | | Cheng, Zehua ; Dai, Wei ; Sun, Jiahao ; Lukasiewicz, Thomas | CircuitSynth: Reliable Synthetic Data Generation | Inproceedings Konferenzbeitrag | 2026 |
| 9 | | Cheng, Zehua ; Dai, Wei ; Sun, Jiahao ; Lukasiewicz, Thomas | GraphSynth: Resolving the Diversity-Reliability Trade-off with Probabilistic Factor Graphs | Inproceedings Konferenzbeitrag | 2026 |
| 10 | | Xu, Zhenghua ; Zhang, Yujun ; Li, Bo ; Zhou, Gaoxi ; Lu, Xianglin ; Lukasiewicz, Thomas | Advancing federated semi-supervised medical image segmentation: A duo of interactive denoising pseudo-labels and convolutional contrastive learning | Article Artikel | 2026 |
| 11 | | Xu, Zhenghua ; Zhang, Hexiang ; Yang, Runhe ; Liu, Weipeng ; Lukasiewicz, Thomas | Semi-supervised medical image lesion detection based on multi-head feature fusion | Article Artikel | 2026 |
| 12 | | Xie, Zhongbin ; Lukasiewicz, Thomas | Investigating Multi-layer Representations for Dense Passage Retrieval | Inproceedings Konferenzbeitrag | Nov-2025 |
| 13 | | Yu, Miao ; Xu, Zhenghua ; Lukasiewicz, Thomas | A general survey on medical image super-resolution via deep learning | Article Artikel | Jul-2025 |
| 14 | | Ceylan, İsmail İlkan ; Lukasiewicz, Thomas ; Malizia, Enrico ; Vaicenavičius, Andrius | Explanations for query answers under existential rules | Article Artikel | Apr-2025 |
| 15 | | Xu, Zhenghua ; Wang, Hening ; Yang, Runhe ; Yang, Yuchen ; Liu, Weipeng ; Lukasiewicz, Thomas | Aggregated Mutual Learning between CNN and Transformer for semi-supervised medical image segmentation | Article Artikel | 28-Feb-2025 |
| 16 | | Xu, Zhenghua ; Xu, Wenting ; Wang, Ruizhi ; Chen, Junyang ; Qi, Chang ; Lukasiewicz, Thomas | Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty | Article Artikel | Feb-2025 |
| 17 | | Xu, Zhenghua ; Liu, Yunxin ; Xu, Gang ; Lukasiewicz, Thomas | Self-Supervised Medical Image Segmentation Using Deep Reinforced Adaptive Masking | Article Artikel | Jan-2025 |
| 18 | | Pinchetti, Luca ; Qi, Chang ; Lokshyn, Oleh ; Emde, Cornelius ; M'Charrak, Amine ; Tang, Mufeng ; Simon, Frieder ; Menzat, Bayar Ilhan ; Oliviers, Gaspard ; Bogacz, Rafal ; Lukasiewicz, Thomas ; Salvatori, Tommaso | Benchmarking Predictive Coding Networks - Made Simple | Inproceedings Konferenzbeitrag | 2025 |
| 19 | | Emde, Cornelius ; Pinto, Francesco ; Lukasiewicz, Thomas ; Torr, Philip ; Bibi, Adel | Towards Certification of Uncertainty Calibration under AdversarialAttacks | Inproceedings Konferenzbeitrag | 2025 |
| 20 | | Emde, Cornelius ; Paren, Alasdair James ; Arvind, Preetham ; Kayser, Maxime Guillaume ; Rainforth, Tom ; Lukasiewicz, Thomas ; Torr, Philip ; Bibi, Adel | Shh, don't say that! Domain Certification in LLMs | Inproceedings Konferenzbeitrag | 2025 |
| 21 | | Xu, Zhenghua ; Yang, Runhe ; Xu, Zihang ; Zhang, Shuo ; Yang, Yuchen ; Liu, Weipeng ; Xu, Weichao ; Chen, Junyang ; Lukasiewicz, Thomas ; Leung, Victor C. M. | PCA: Semi-Supervised Segmentation With Patch Confidence Adversarial Training | Article Artikel | 2025 |
| 22 | | Kayser, Maxime ; Menzat, Bayar Ilhan ; Emde, Cornelius ; Bercean, Bogdan ; Novak, Alex ; Espinosa, Abdala ; Papiez, Bartlomiej W. ; Gaube, Susanne ; Lukasiewicz, Thomas ; Camburu, Oana-Maria | Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting | Inproceedings Konferenzbeitrag | Nov-2024 |
| 23 | | Giunchiglia, Eleonora ; Tatomir, Alex ; Stoian, Mihaela Cătălina ; Lukasiewicz, Thomas | CCN⁺: A Neuro-symbolic Framework for Deep Learning with Requirements | Article Artikel | Aug-2024 |
| 24 | | Mahon, Louis ; Sha, Lei ; Lukasiewicz, Thomas | Correcting Flaws in Common Disentanglement Metrics | Article Artikel | Jul-2024 |
| 25 | | Collins, Katherine M. ; Jiang, Albert Q. ; Frieder, Simon ; Wong, Lionel ; Zilka, Miri ; Bhatt, Umang ; Lukasiewicz, Thomas ; Wu, Yuhuai ; Tenenbaum, Joshua B. ; Hart, William ; Gowers, Timothy ; Li, Wenda ; Weller, Adrian ; Jamnik, Mateja | Evaluating Language Models for Mathematics through Interactions | Article Artikel | Jun-2024 |
| 26 | | Kocijan, Vid ; Jang, Myeongjun ; Lukasiewicz, Thomas | Pre-training and diagnosing knowledge base completion models | Article Artikel | Apr-2024 |
| 27 | | Mahon, Louis ; Lukasiewicz, Thomas | Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation | Inproceedings Konferenzbeitrag | 24-Mar-2024 |
| 28 | | Kocijan, Vid ; Davis, Ernest ; Lukasiewicz, Thomas ; Marcus, Gary ; Morgenstern, Leora | The Defeat of the Winograd Schema Challenge (Abstract Reprint) | Inproceedings Konferenzbeitrag | 24-Mar-2024 |
| 29 | | Xu, Zhenghua ; Wang, Shengxin ; Xu, Gang ; Liu, Yunxin ; Yu, Miao ; Zhang, Hongwei ; Lukasiewicz, Thomas ; Gu, Junhua | Automatic data augmentation for medical image segmentation using Adaptive Sequence-length based Deep Reinforcement Learning | Article Artikel | Feb-2024 |
| 30 | | Xu, Zhenghua ; Tang, Jiaqi ; Qi, Chang ; Yao, Dan ; Liu, Caihua ; Zhan, Yuefu ; Lukasiewicz, Thomas | Cross-domain attention-guided generative data augmentation for medical image analysis with limited data | Article Artikel | Jan-2024 |
| 31 | | Xu, Zhenghua ; Yu, Zhoutao ; Zhang, Hexiang ; Chen, Junyang ; Gu, Junhua ; Lukasiewicz, Thomas ; Leung, Victor C. M. | PhaCIA-TCNs: Short-Term Load Forecasting Using Temporal Convolutional Networks With Parallel Hybrid Activated Convolution and Input Attention | Article Artikel | Jan-2024 |
| 32 |  | Mahon, Louis ; Lukasiewicz, Thomas | Minimum description length clustering to measure meaningful image complexity | Article Artikel   | Jan-2024 |
| 33 | | Zhang, Jiaojiao ; Zhang, Shuo ; Shen, Xiaoqian ; Lukasiewicz, Thomas ; Xu, Zhenghua | Multi-ConDoS: Multimodal Contrastive Domain Sharing Generative Adversarial Networks for Self-Supervised Medical Image Segmentation | Article Artikel | Jan-2024 |
| 34 | | Sha, Lei ; Thomas Lukasiewicz | Text attribute control via closed-loop disentanglement | Article Artikel | 2024 |
| 35 | | Frieder, Simon ; Pinchetti, Luca ; Lukasiewicz, Thomas | Bad Predictive Coding Activation Functions | Inproceedings Konferenzbeitrag | 2024 |
| 36 | | Tommaso Salvatori ; Song, Yuhang ; Yordanov, Yordan ; Millidge, Beren ; Sha, Lei ; Emde, Cornelius ; Xu, Zhenghua ; Bogacz, Rafal ; Thomas Lukasiewicz | A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks | Inproceedings Konferenzbeitrag | 2024 |
| 37 | | Stoian, Mihaela Cătălina ; Tatomir, Alex ; Lukasiewicz, Thomas ; Giunchiglia, Eleonora | PiShield: A NeSy Framework for Learning with Requirements | Inproceedings Konferenzbeitrag | 2024 |
| 38 | | Stoian, Mihaela Cătălina ; Dyrmishi, Salijona ; Cordy, Maxime ; Lukasiewicz, Thomas ; Giunchiglia, Eleonora | How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data | Inproceedings Konferenzbeitrag | 2024 |
| 39 |  | Song, Yuhang ; Millidge, Beren ; Salvatori, Tommaso ; Lukasiewicz, Thomas ; Xu, Zhenghua ; Bogacz, Rafal | Inferring neural activity before plasticity as a foundation for learning beyond backpropagation | Article Artikel | 2024 |
| 40 | | Frieder, Simon ; Olšák, Mirek ; Berner, Julius ; Lukasiewicz, Thomas | The IMO Small Challenge: Not-Too-Hard Olympiad Math Datasets for LLMs | Inproceedings Konferenzbeitrag | 2024 |
| 41 | | Salvatori, Tommaso ; Pinchetti, Luca ; M'Charrak, Amine ; Millidge, Beren ; Lukasiewicz, Thomas | Predictive Coding beyond Correlations | Inproceedings Konferenzbeitrag | 2024 |
| 42 | | Kocijan, Vid ; Davis, Ernest ; Lukasiewicz, Thomas ; Marcus, Gary ; Morgenstern, Leora | The Defeat of the Winograd Schema Challenge | Article Artikel | Dec-2023 |
| 43 | | Yu, Miao ; Guo, Miaomiao ; Zhang, Shuai ; Zhan, Yuefu ; Zhao, Mingkang ; Lukasiewicz, Thomas ; Xu, Zhenghua | RIRGAN: An end-to-end lightweight multi-task learning method for brain MRI super-resolution and denoising | Article Artikel | Dec-2023 |
| 44 | | Frieder, Simon ; Berner, Julius ; Petersen, Philipp ; Lukasiewicz, Thomas | Large Language Models for Mathematicians | Article Artikel | Dec-2023 |
| 45 | | Xu, Zhenghua ; Tian, Biao ; Liu, Shijie ; Wang, Xiangtao ; Yuan, Di ; Gu, Junhua ; Chen, Junyang ; Lukasiewicz, Thomas ; Leung, Victor C. M. | Collaborative Attention Guided Multi-Scale Feature Fusion Network for Medical Image Segmentation | Article Artikel | 14-Nov-2023 |
| 46 | | Xu, Zhenghua ; Zhang, Xudong ; Zhang, Hexiang ; Liu, Yunxin ; Zhan, Yuefu ; Lukasiewicz, Thomas | EFPN: Effective medical image detection using feature pyramid fusion enhancement | Article Artikel | Sep-2023 |
| 47 | | Giunchiglia, Eleonora ; Stoian, Mihaela Cătălina ; Khan, Salman ; Cuzzolin, Fabio ; Lukasiewicz, Thomas | ROAD-R: the autonomous driving dataset with logical requirements | Article Artikel | 1-May-2023 |
| 48 | | Yuan, Di ; Xu, Zhenghua ; Tian, Biao ; Wang, Hening ; Zhan, Yuefu ; Lukasiewicz, Thomas | μ-Net: Medical image segmentation using efficient and effective deep supervision | Article Artikel | 23-Apr-2023 |
| 49 | | Tang, Mufeng ; Salvatori, Tommaso ; Millidge, Beren ; Song, Yuhang ; Lukasiewicz, Thomas ; Bogacz, Rafal | Recurrent predictive coding models for associative memory employing covariance learning | Article Artikel | 14-Apr-2023 |
| 50 | | Xu, Zhenghua ; Li, Tianrun ; Liu, Yunxin ; Zhan, Yuefu ; Chen, Junyang ; Lukasiewicz, Thomas | PAC-Net: Multi-pathway FPN with position attention guided connections and vertex distance IoU for 3D medical image detection | Article Artikel | 2-Feb-2023 |
| 51 | | Li, Yikuan ; Mamouei, Mohammad ; Salimi-Khorshidi, Gholamreza ; Rao, Shishir ; Hassaine, Abdelaali ; Canoy, Dexter ; Lukasiewicz, Thomas ; Rahimi, Kazem | Hi-BEHRT: Hierarchical Transformer-Based Model for Accurate Prediction of Clinical Events Using Multimodal Longitudinal Electronic Health Records | Article Artikel | Feb-2023 |
| 52 | | Sha, Lei ; Camburu, Oana-Maria ; Lukasiewicz, Thomas | Rationalizing predictions by adversarial information calibration | Article Artikel | Feb-2023 |
| 53 | | Yuan, Di ; Liu, Yunxin ; Xu, Zhenghua ; Zhan, Yuefu ; Chen, Junyang ; Lukasiewicz, Thomas | Painless and accurate medical image analysis using deep reinforcement learning with task-oriented homogenized automatic pre-processing | Article Artikel | Feb-2023 |
| 54 | | Atanasova, Pepa ; Camburu, Oana-Maria ; Lioma, Christina ; Lukasiewicz, Thomas ; Simonsen, Jakob Grue ; Augenstein, Isabelle | Faithfulness Tests for Natural Language Explanations | Inproceedings Konferenzbeitrag | 2023 |
| 55 | | Xu, Gang ; Wang, Shengxin ; Lukasiewicz, Thomas ; Xu, Zhenghua | Adaptive-Masking Policy with Deep Reinforcement Learning for Self-Supervised Medical Image Segmentation | Inproceedings Konferenzbeitrag | 2023 |
| 56 | | Zhang, Hexiang ; Xu, Zhenghua ; Yao, Dan ; Zhang, Shuo ; Chen, Junyang ; Thomas Lukasiewicz | Multi-Head Feature Pyramid Networks for Breast Mass Detection | Inproceedings Konferenzbeitrag | 2023 |
| 57 | | Jang, Myeongjun ; Lukasiewicz, Thomas | Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary | Inproceedings Konferenzbeitrag | 2023 |
| 58 | | Millidge, Beren ; Song, Yuhang ; Salvatori, Tommaso ; Lukasiewicz, Thomas ; Bogacz, Rafal | Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning | Inproceedings Konferenzbeitrag | 2023 |
| 59 | | Jang, Myeongjun ; Lukasiewicz, Thomas | Consistency Analysis of ChatGPT | Inproceedings Konferenzbeitrag | 2023 |
| 60 | | Stoian, Mihaela Cătălina ; Giunchiglia, Eleonora ; Lukasiewicz, Thomas | Exploiting T-norms for Deep Learning in Autonomous Driving | Inproceedings Konferenzbeitrag | 2023 |
| 61 | | Xie, Zhongbin ; Lukasiewicz, Thomas | An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models | Inproceedings Konferenzbeitrag | 2023 |
| 62 | | Millidge, Beren ; Song, Yuhang ; Salvatori, Tommaso ; Lukasiewicz, Thomas ; Bogacz, Rafal | A Theoretical Framework for Inference and Learning in Predictive Coding Networks | Inproceedings Konferenzbeitrag | 2023 |
| 63 | | Zhongbin, Xie ; Kocijan, Vid ; Lukasiewicz, Thomas ; Camburu, Oana-Maria | Counter−GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns | Inproceedings Konferenzbeitrag | 2023 |
| 64 | | Jang, Myeongjun ; Majumder, Bodhisattwa Prasad ; McAuley, Julian ; Lukasiewicz, Thomas ; Camburu, Oana-Maria | KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations | Inproceedings Konferenzbeitrag | 2023 |
| 65 | | Frieder, Simon ; Pinchetti, Luca ; Chevalier, Alexis ; Griffiths, Ryan-Rhys ; Salvatori, Tommaso ; Lukasiewicz, Thomas ; Petersen, Philipp ; Berner, Julius | Mathematical Capabilities of ChatGPT | Inproceedings Konferenzbeitrag | 2023 |
| 66 | | Wang, Jianfeng ; Massiceti, Daniela ; Hu, Xiaolin ; Pavlovic, Vladimir ; Lukasiewicz, Thomas | NP-SemiSeg: When Neural Processes meet Semi-Supervised Semantic Segmentation | Inproceedings Konferenzbeitrag | 2023 |
| 67 | | Wang, Xiangtao ; Wang, Ruizhi ; Tian, Biao ; Zhang, Jiaojiao ; Zhang, Shuo ; Chen, Junyang ; Lukasiewicz, Thomas ; Xu, Zhenghua | MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation | Inproceedings Konferenzbeitrag | 2023 |
| 68 | | Wang, Ruizhi ; Wang, Xiangtao ; Xu, Zhenghua ; Xu, Wenting ; Chen, Junyang ; Lukasiewicz, Thomas | MvCo-DoT: Multi-View Contrastive Domain Transfer Network for Medical Report Generation | Inproceedings Konferenzbeitrag | 2023 |
| 69 | | Mahon, Louis ; Lukasiewicz, Thomas | Efficient Deep Clustering of Human Activities and How to Improve Evaluation | Inproceedings Konferenzbeitrag | 2023 |
| 70 | | Lukasiewicz, Thomas ; Malizia, Enrico ; Molinaro, Cristian | Complexity of Inconsistency-Tolerant Query Answering in Datalog+/- under Preferred Repairs | Inproceedings Konferenzbeitrag | 2023 |
| 71 | | Salvatori, Tommaso ; Millidge, Beren ; Song, Yuhang ; Bogacz, Rafal ; Lukasiewicz, Thomas | Associative Memories in the Feature Space | Inproceedings Konferenzbeitrag | 2023 |
| 72 | | Jang, Myeongjun ; Kwon, Deuk Sin ; Lukasiewicz, Thomas | BECEL: Benchmark for Consistency Evaluation of Language Models | Inproceedings Konferenzbeitrag | Oct-2022 |
| 73 | | Li, Bowen ; Torr, Philip H. S. ; Lukasiewicz, Thomas | Clustering Generative Adversarial Networks for Story Visualization | Inproceedings Konferenzbeitrag | Oct-2022 |
| 74 | | Kayser, Maxime ; Emde, Cornelius ; Camburu, Oana-Maria ; Parsons, Guy ; Papiez, Bartlomiej ; Lukasiewicz, Thomas | Explaining Chest X-Ray Pathologies in Natural Language | Inproceedings Konferenzbeitrag | 16-Sep-2022 |
| 75 | | Jang, Myeongjun ; Thomas Lukasiewicz | NoiER: An Approach for Training more Reliable Fine-Tuned Downstream Task Models | Article Artikel | 22-Jul-2022 |
| 76 | | Jang, Myeongjun ; Mtumbuka, Frank ; Lukasiewicz, Thomas | Beyond Distributional Hypothesis: Let Language Models Learn Meaning-Text Correspondence | Inproceedings Konferenzbeitrag | 2022 |
| 77 | | Lukasiewicz, Thomas ; Malizia, Enrico ; Molinaro, Cristian | Explanations for Negative Query Answers under Inconsistency-Tolerant Semantics | Inproceedings Konferenzbeitrag | 2022 |
| 78 | | Frieder, Simon ; Lukasiewicz, Thomas | (Non-)Convergence Results for Predictive Coding Networks | Inproceedings Konferenzbeitrag | 2022 |
| 79 | | Millidge, Beren ; Salvatori, Tommaso ; Song, Yuhang ; Bogacz, Rafal ; Lukasiewicz, Thomas | Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? | Inproceedings Konferenzbeitrag | 2022 |
| 80 | | Salvatori, Tommaso ; Pinchetti, Luca ; Millidge, Beren ; Song, Yuhang ; Bao, Tianyi ; Bogacz, Rafal ; Lukasiewicz, Thomas | Learning on Arbitrary Graph Topologies via Predictive Coding | Inproceedings Konferenzbeitrag | 2022 |
| 81 | | Li, Bowen ; Torr, Philip H. S. ; Lukasiewicz, Thomas | Image-to-Image Translation with Text Guidance | Inproceedings Konferenzbeitrag | 2022 |
| 82 | | Majumder, Bodhisattwa Prasad ; Camburu, Oana-Maria ; Lukasiewicz, Thomas ; McAuley, Julian | Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations | Inproceedings Konferenzbeitrag | 2022 |
| 83 | | Giunchiglia, Eleonora ; Stoian, Mihaela Cătălina ; Lukasiewicz, Thomas | Deep Learning with Logical Constraints | Inproceedings Konferenzbeitrag | 2022 |
| 84 |  | Mtumbuka, Frank ; Lukasiewicz, Thomas | Syntactically Rich Discriminative Training: An Effective Method for Open Information Extraction | Inproceedings Konferenzbeitrag | 2022 |
| 85 |  | Li, Bowen ; Lukasiewicz, Thomas | Learning to Model Multimodal Semantic Alignment for Story Visualization | Inproceedings Konferenzbeitrag | 2022 |
| 86 | | Wang, Jianfeng ; Lukasiewicz, Thomas ; Massiceti, Daniela ; Hu, Xiaolin ; Pavlovic, Vladimir ; Neophytou, Alexandros | NP-Match: When Neural Processes meet Semi-Supervised Learning | Inproceedings Konferenzbeitrag | 2022 |
| 87 | | Millidge, Beren ; Salvatori, Tommaso ; Song, Yuhang ; Lukasiewicz, Thomas ; Bogacz, Rafal | Universal Hopfield Networks: A General Framework for Single-Shot Associative Memory Models | Inproceedings Konferenzbeitrag | 2022 |
| 88 | | Li, Bowen ; Torr, Philip H. S. ; Lukasiewicz, Thomas | Memory-Driven Text-to-Image Generation | Inproceedings Konferenzbeitrag | 2022 |
| 89 | | Yordanov, Yordan ; Kocijan, Vid ; Lukasiewicz, Thomas ; Camburu, Oana-Maria | Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup | Inproceedings Konferenzbeitrag | 2022 |
| 90 | | Pinchetti, Luca ; Salvatori, Tommaso ; Yordanov, Yordan ; Millidge, Beren ; Song, Yuhang ; Lukasiewicz, Thomas | Predictive Coding beyond Gaussian Distributions | Inproceedings Konferenzbeitrag | 2022 |
