- Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann:
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CVPR Workshops 2023: 5607-5612 - Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Best Practices in Active Learning for Semantic Segmentation. DAGM 2023: 427-442 - Martin Bachler, Lena Kummer, Alina Sehnert, Siegfried Wassertheurer, Eugenijus Kaniusas
, Walter Sehnert, Thomas Mendgen, Bernhard Hametner
, Christopher C. Mayer
:
Handheld Device Measures Cardiovascular Effects of Cognitive and Physical Stress. dHealth 2023: 123-124 - Alexander Berndt
, Zoltán Nochta
, Thomas Bach
:
The Vocabulary of Flaky Tests in the Context of SAP HANA. ESEM 2023: 1-9 - Wengran Wang
, John Thomas Bacher, Amy Isvik
, Ally Limke
, Sandeep Sthapit
, Yang Shi
, Benyamin T. Tabarsi
, Keith Tran
, Veronica Cateté
, Tiffany Barnes
, Chris Martens
, Thomas W. Price
:
Investigating the Impact of On-Demand Code Examples on Novices' Open-Ended Programming Experience. ICER (1) 2023: 464-475 - Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
The Curious Case of Benign Memorization. ICLR 2023 - Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Random Teachers are Good Teachers. ICML 2023: 30022-30041 - Leonhard Czarnetzki, Catherine Laflamme, Christoph Halbwidl, Lisa Charlotte Günther, Thomas Sobottka, Daniel Bachlechner:
Optimisation of Matrix Production System Reconfiguration with Reinforcement Learning. KI 2023: 15-22 - Priscille de Dumast
, Thomas Sanchez
, Hélène Lajous
, Meritxell Bach Cuadra
:
Simulation-Based Parameter Optimization for Fetal Brain MRI Super-Resolution Reconstruction. MICCAI (7) 2023: 336-346 - Thomas Sanchez
, Oscar Esteban
, Yvan Gomez
, Elisenda Eixarch
, Meritxell Bach Cuadra
:
FetMRQC: Automated Quality Control for Fetal Brain MRI. PIPPI@MICCAI 2023: 3-16 - Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Scaling MLPs: A Tale of Inductive Bias. NeurIPS 2023 - Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön:
Regularization properties of adversarially-trained linear regression. NeurIPS 2023 - Julian Reck
, Thomas Bach
, Jan Stoess
:
A Multidimensional Analysis of Bug Density in SAP HANA. ESEC/SIGSOFT FSE 2023: 1997-2007 - Sudhanshu Mittal, Joshua Niemeijer, Jörg P. Schäfer, Thomas Brox:
Revisiting Deep Active Learning for Semantic Segmentation. CoRR abs/2302.04075 (2023) - Felix Sarnthein, Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Random Teachers are Good Teachers. CoRR abs/2302.12091 (2023) - Thomas Sanchez, Oscar Esteban, Yvan Gomez, Elisenda Eixarch, Meritxell Bach Cuadra:
FetMRQC: Automated Quality Control for fetal brain MRI. CoRR abs/2304.05879 (2023) - Maria Parelli, Alexandros Delitzas, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann:
CLIP-Guided Vision-Language Pre-training for Question Answering in 3D Scenes. CoRR abs/2304.06061 (2023) - Alexandros Delitzas, Maria Parelli, Nikolas Hars, Georgios Vlassis, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann:
Multi-CLIP: Contrastive Vision-Language Pre-training for Question Answering tasks in 3D Scenes. CoRR abs/2306.02329 (2023) - Gregor Bachmann, Sotiris Anagnostidis, Thomas Hofmann:
Scaling MLPs: A Tale of Inductive Bias. CoRR abs/2306.13575 (2023) - Thomas C. Bachlechner, Mario Martone, Marjorie Schillo:
Taken by Surprise: Contrast effect for Similarity Scores. CoRR abs/2308.09765 (2023) - Leander Weber, Jim Berend, Alexander Binder, Thomas Wiegand, Wojciech Samek, Sebastian Lapuschkin:
Layer-wise Feedback Propagation. CoRR abs/2308.12053 (2023) - Gabin An, Juyeon Yoon, Thomas Bach, Jingun Hong, Shin Yoo:
Just-in-Time Flaky Test Detection via Abstracted Failure Symptom Matching. CoRR abs/2310.06298 (2023) - Antônio H. Ribeiro, Dave Zachariah, Francis Bach, Thomas B. Schön:
Regularization properties of adversarially-trained linear regression. CoRR abs/2310.10807 (2023) - Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann:
Navigating Scaling Laws: Accelerating Vision Transformer's Training via Adaptive Strategies. CoRR abs/2311.03233 (2023) - Thomas Sanchez, Oscar Esteban, Yvan Gomez, Alexandre Pron, Mériam Koob, Vincent Dunet, Nadine Girard, András Jakab
, Elisenda Eixarch, Guillaume Auzias, Meritxell Bach Cuadra:
FetMRQC: an open-source machine learning framework for multi-centric fetal brain MRI quality control. CoRR abs/2311.04780 (2023) - Rémi Munos, Michal Valko, Daniele Calandriello, Mohammad Gheshlaghi Azar, Mark Rowland, Zhaohan Daniel Guo, Yunhao Tang, Matthieu Geist, Thomas Mesnard, Andrea Michi, Marco Selvi, Sertan Girgin, Nikola Momchev, Olivier Bachem, Daniel J. Mankowitz, Doina Precup, Bilal Piot:
Nash Learning from Human Feedback. CoRR abs/2312.00886 (2023) - Marc Lanctot, Kate Larson, Yoram Bachrach, Luke Marris, Zun Li, Avishkar Bhoopchand, Thomas W. Anthony, Brian Tanner, Anna Koop:
Evaluating Agents using Social Choice Theory. CoRR abs/2312.03121 (2023) - Gul Sena Altintas, Gregor Bachmann, Lorenzo Noci, Thomas Hofmann:
Disentangling Linear Mode-Connectivity. CoRR abs/2312.09832 (2023) - 2022
- Thomas Bach:
Testing in Very Large Software Projects. University of Heidelberg, Germany, 2022