Estimating Collective Attention toward a Public Display. - Wolfgang Narzt; Otto Weichselbaum; Gustav Pomberger; Markus Hofmarcher; Michael Strauss; Peter Holzkorn; Roland Haring; Monika Sturm 001 (ACM Trans. Interact. Intell. Syst., 2018)

Human-level Protein Localization with Convolutional Neural Networks. - Elisabeth Rumetshofer; Markus Hofmarcher; Clemens Röhrl; Sepp Hochreiter; Günter Klambauer (ICLR (Poster), 2019)

Patch Refinement - Localized 3D Object Detection. - Johannes Lehner; Andreas Mitterecker; Thomas Adler; Markus Hofmarcher; Bernhard Nessler; Sepp Hochreiter (CoRR, 2019)

Detecting cutaneous basal cell carcinomas in ultra-high resolution and weakly labelled histopathological images. - Susanne Kimeswenger; Elisabeth Rumetshofer; Markus Hofmarcher; Philipp Tschandl; Harald Kittler; Sepp Hochreiter; Wolfram Hötzenecker; Günter Klambauer (CoRR, 2019)

Accurate Prediction of Biological Assays with High-Throughput Microscopy Images and Convolutional Networks. - Markus Hofmarcher; Elisabeth Rumetshofer; Djork-Arné Clevert; Sepp Hochreiter; Günter Klambauer (J. Chem. Inf. Model., 2019)

Visual Scene Understanding for Autonomous Driving Using Semantic Segmentation. - Markus Hofmarcher; Thomas Unterthiner; Jose A. Arjona-Medina; Günter Klambauer; Sepp Hochreiter; Bernhard Nessler (Explainable AI, 2019)

XAI and Strategy Extraction via Reward Redistribution. - Marius-Constantin Dinu; Markus Hofmarcher; Vihang Prakash Patil; Matthias Dorfer; Patrick M. Blies; Johannes Brandstetter; Jose A. Arjona-Medina; Sepp Hochreiter (xxAI@ICML, 2020)

Large-scale ligand-based virtual screening for SARS-CoV-2 inhibitors using deep neural networks. - Markus Hofmarcher; Andreas Mayr; Elisabeth Rumetshofer; Peter Ruch; Philipp Renz; Johannes Schimunek; Philipp Seidl; Andreu Vall; Michael Widrich; Sepp Hochreiter; Günter Klambauer (CoRR, 2020)

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. - Kajetan Schweighofer; Markus Hofmarcher; Marius-Constantin Dinu; Philipp Renz; Angela Bitto-Nemling; Vihang Patil; Sepp Hochreiter (CoRR, 2021)

A Dataset Perspective on Offline Reinforcement Learning. - Kajetan Schweighofer; Marius-Constantin Dinu; Andreas Radler; Markus Hofmarcher; Vihang Prakash Patil; Angela Bitto-Nemling; Hamid Eghbal-zadeh; Sepp Hochreiter (CoLLAs, 2022)

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. - Vihang Patil; Markus Hofmarcher; Marius-Constantin Dinu; Matthias Dorfer; Patrick M. Blies; Johannes Brandstetter; José Antonio Arjona-Medina; Sepp Hochreiter (ICML, 2022)

Semantic HELM: A Human-Readable Memory for Reinforcement Learning. - Fabian Paischer; Thomas Adler; Markus Hofmarcher; Sepp Hochreiter (NeurIPS, 2023)

Learning to Modulate pre-trained Models in RL. - Thomas Schmied; Markus Hofmarcher; Fabian Paischer; Razvan Pascanu; Sepp Hochreiter (NeurIPS, 2023)

Semantic HELM: An Interpretable Memory for Reinforcement Learning. - Fabian Paischer; Thomas Adler; Markus Hofmarcher; Sepp Hochreiter (CoRR, 2023)

SITTA: A Semantic Image-Text Alignment for Image Captioning. - Fabian Paischer; Thomas Adler; Markus Hofmarcher; Sepp Hochreiter (CoRR, 2023)

Large Language Models Can Self-Improve At Web Agent Tasks. - Ajay Patel; Markus Hofmarcher; Claudiu Leoveanu-Condrei; Marius-Constantin Dinu; Chris Callison-Burch; Sepp Hochreiter (CoRR, 2024)

Contrastive Abstraction for Reinforcement Learning. - Vihang Patil; Markus Hofmarcher; Elisabeth Rumetshofer; Sepp Hochreiter (CoRR, 2024)

Retrieval-Augmented Decision Transformer: External Memory for In-context RL. - Thomas Schmied; Fabian Paischer; Vihang Patil; Markus Hofmarcher; Razvan Pascanu; Sepp Hochreiter (CoRR, 2024)

HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs. - Adrian Kaiser; Claudiu Leoveanu-Condrei; Ryan Gold; Marius-Constantin Dinu; Markus Hofmarcher (CoRR, 2025)