E-LIB Suche - Ergebnisse für: Hofmarcher, Markus

1

XAI and Strategy Extraction via Reward Redistribution:

, In: xxAI - Beyond Explainable AI; Lecture Notes in Computer Science,

Dinu, Marius-Constantin ; Hofmarcher, Markus ; Patil, Vihang P.... - p. 177-205 , 2022

Link: https://doi.org/10.1007/..

2

Artificial neural networks and pathologists recognize basal..:

Kimeswenger, Susanne ; Tschandl, Philipp ; Noack, Petar...
Modern Pathology. 34 (2021) 5 - p. 895-903 , 2021

Link: https://doi.org/10.1038/..

3

Visual Scene Understanding for Autonomous Driving Using Sem..:

, In: Explainable AI: Interpreting, Explaining and Visualizing Deep Learning; Lecture Notes in Computer Science,

Hofmarcher, Markus ; Unterthiner, Thomas ; Arjona-Medina, José... - p. 285-296 , 2019

Link: https://doi.org/10.1007/..

4

Accurate Prediction of Biological Assays with High-Throughp..:

Hofmarcher, Markus ; Rumetshofer, Elisabeth ; Clevert, Djork-Arné..
Journal of Chemical Information and Modeling. 59 (2019) 3 - p. 1163-1171 , 2019

Link: https://doi.org/10.1021/..

5

Estimating Collective Attention toward a Public Display:

Narzt, Wolfgang ; Weichselbaum, Otto ; Pomberger, Gustav...
ACM Transactions on Interactive Intelligent Systems. 8 (2018) 3 - p. 1-34 , 2018

Link: https://doi.org/10.1145/..

6

Estimating Collective Attention toward a Public Display:

Narzt, Wolfgang ; Weichselbaum, Otto ; Pomberger, Gustav...
ACM Transactions on Interactive Intelligent Systems (TiiS). 8 (2018) 3 - p. 1-34 , 2018

Link: https://dl.acm.org/doi/1..

7

Learning to Modulate pre-trained Models in RL:

Schmied, Thomas ; Hofmarcher, Markus ; Paischer, Fabian..
http://arxiv.org/abs/2306.14884. , 2023

Link: http://arxiv.org/abs/230..

8

Sample Efficient Deep Learning Methods for Reinforcement Le..:

Hofmarcher, Markus
vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:1-70984/128. , 2023

Link: https://resolver.obvsg.a..

9

SITTA: A Semantic Image-Text Alignment for Image Captioning:

Paischer, Fabian ; Adler, Thomas ; Hofmarcher, Markus.
http://arxiv.org/abs/2307.05591. , 2023

Link: http://arxiv.org/abs/230..

10

Semantic HELM: A Human-Readable Memory for Reinforcement Le..:

Paischer, Fabian ; Adler, Thomas ; Hofmarcher, Markus.
http://arxiv.org/abs/2306.09312. , 2023

Link: http://arxiv.org/abs/230..

11

Modern Pathology / Artificial neural networks and pathologi..:

Kimeswenger, Susanne ; Tschandl, Philipp ; Noack, Petar...
vignette : https://epub.jku.at/titlepage/urn/urn:nbn:at:at-ubl:3-5568/128. , 2021

Link: https://resolver.obvsg.a..

12

A Dataset Perspective on Offline Reinforcement Learning:

Schweighofer, Kajetan ; Radler, Andreas ; Dinu, Marius-Constantin...
http://arxiv.org/abs/2111.04714. , 2021

Link: http://arxiv.org/abs/211..

13

Align-RUDDER: Learning From Few Demonstrations by Reward Re..:

Patil, Vihang P ; Hofmarcher, Markus ; Dinu, Marius-Constantin...
http://arxiv.org/abs/2009.14108. , 2020

Link: http://arxiv.org/abs/200..

14

Large-scale ligand-based virtual screening for SARS-CoV-2 i..:

Hofmarcher, Markus ; Mayr, Andreas ; Rumetshofer, Elisabeth...
http://arxiv.org/abs/2004.00979. , 2020

Link: http://arxiv.org/abs/200..

15

Patch Refinement -- Localized 3D Object Detection:

Lehner, Johannes ; Mitterecker, Andreas ; Adler, Thomas...
http://arxiv.org/abs/1910.04093. , 2019

Link: http://arxiv.org/abs/191..