- Sophia J. Wagner, Daniel Reisenbüchler, Nicholas P. West, Jan Moritz Niehues, Gregory Patrick Veldhuizen, Philip Quirke, Heike Irmgard Grabsch, Piet A. van den Brandt, Gordon G. A. Hutchins, Susan D. Richman, Tanwei Yuan, Rupert Langer, Josien Christina Anna Jenniskens, Kelly Offermans, Wolfram Müller, Richard Gray, Stephen B. Gruber, Joel K. Greenson, Gad Rennert, Joseph D. Bonner, Daniel Schmolze, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Michael Hoffmeister, Daniel Truhn, Julia A. Schnabel, Melanie Boxberg, Tingying Peng, Jakob Nikolas Kather:
Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. CoRR abs/2301.09617 (2023) - Michael C. H. Choi, Youjia Wang:
Improved Langevin Monte Carlo for stochastic optimization via landscape modification. CoRR abs/2302.03973 (2023) - Janine Langerbein, Till Massing, Jens Klenke, Natalie Reckmann, Michael Striewe, Michael Goedicke, Christoph Hanck:
A Data Mining Approach for Detecting Collusion in Unproctored Online Exams. CoRR abs/2302.07014 (2023) - Michael Hersche, Aleksandar Terzic, Geethan Karunaratne, Jovin Langenegger, Angéline Pouget, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi:
Factorizers for Distributed Sparse Block Codes. CoRR abs/2303.13957 (2023) - Sahil Samar, Mia Chen, Jack Karpinski, Michael Ray, Archita Sarin, Christian Garcia, Matthew Lange, Joe Stubbs, Mary P. Thomas:
Development of Authenticated Clients and Applications for ICICLE CI Services - Final Report for the REHS Program, June-August, 2022. CoRR abs/2304.11086 (2023) - Michalis K. Titsias:
Optimal Preconditioning and Fisher Adaptive Langevin Sampling. CoRR abs/2305.14442 (2023) - Michal Król, Onur Ascigil, Sergi Rene, Etienne Rivière, Matthieu Pigaglio, Kaleem Peeroo, Vladimir Stankovic, Ramin Sadre, Felix Lange:
Data Availability Sampling in Ethereum: Analysis of P2P Networking Requirements. CoRR abs/2306.11456 (2023) - Amandeep Singh, Michael Weber, Markus Lange-Hegermann:
Interpretable Anomaly Detection in Cellular Networks by Learning Concepts in Variational Autoencoders. CoRR abs/2306.15938 (2023) - Matthias De Lange, Hamid Eghbalzadeh, Reuben Tan, Michael L. Iuzzolino, Franziska Meier, Karl Ridgeway:
EgoAdapt: A multi-stream evaluation study of adaptation to real-world egocentric user video. CoRR abs/2307.05784 (2023) - Debesh Jha, Vanshali Sharma, Neethi Dasu, Nikhil Kumar Tomar, Steven Hicks, Manas Kamal Bhuyan, Pradip K. Das, Michael A. Riegler, Pål Halvorsen, Thomas de Lange, Ulas Bagci:
GastroVision: A Multi-class Endoscopy Image Dataset for Computer Aided Gastrointestinal Disease Detection. CoRR abs/2307.08140 (2023) - Du Nguyen Duy, Michael Affenzeller, Ramin Nikzad-Langerodi:
Towards Vertical Privacy-Preserving Symbolic Regression via Secure Multiparty Computation. CoRR abs/2307.11756 (2023) - Reuben Tan, Matthias De Lange, Michael L. Iuzzolino, Bryan A. Plummer, Kate Saenko, Karl Ridgeway, Lorenzo Torresani:
Multiscale Video Pretraining for Long-Term Activity Forecasting. CoRR abs/2307.12854 (2023) - Debesh Jha, Vanshali Sharma, Debapriya Banik, Debayan Bhattacharya, Kaushiki Roy, Steven Alexander Hicks, Nikhil Kumar Tomar, Vajira Thambawita, Adrian Krenzer, Ge-Peng Ji, Sahadev Poudel, George Batchkala, Saruar Alam, Awadelrahman M. A. Ahmed, Quoc-Huy Trinh, Zeshan Khan, Tien-Phat Nguyen, Shruti Shrestha, Sabari Nathan, Jeonghwan Gwak, Ritika Kumari Jha, Zheyuan Zhang, Alexander Schlaefer, Debotosh Bhattacharjee, Manas Kamal Bhuyan, Pradip K. Das, Sravanthi Parasa, Sharib Ali, Michael A. Riegler, Pål Halvorsen, Ulas Bagci, Thomas de Lange:
An objective validation of polyp and instrument segmentation methods in colonoscopy through Medico 2020 polyp segmentation and MedAI 2021 transparency challenges. CoRR abs/2307.16262 (2023) - Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav S. Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tur, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan:
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. CoRR abs/2308.05221 (2023) - Jaap Jumelet, Michael Hanna, Marianne de Heer Kloots, Anna Langedijk, Charlotte Pouw, Oskar van der Wal:
ChapGTP, ILLC's Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation. CoRR abs/2310.11282 (2023) - Karthik Bharath, Alexander Lewis, Akash Sharma, Michael V. Tretyakov:
Sampling and estimation on manifolds using the Langevin diffusion. CoRR abs/2312.14882 (2023) - 2022
- Georg Hahn, Sanghun Lee, Dmitry Prokopenko, Jonathan Abraham, Tanya Novak, Julian Hecker, Michael H. Cho, Surender Khurana, Lindsey R. Baden, Adrienne G. Randolph, Scott T. Weiss, Christoph Lange:
Unsupervised outlier detection applied to SARS-CoV-2 nucleotide sequences can identify sequences of common variants and other variants of interest. BMC Bioinform. 23(1): 547 (2022) - Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. 79: 102474 (2022) - Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather:
Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. 82: 102622 (2022) - Michael Y.-S. Fang, Mayur Mudigonda, Ryan Zarcone, Amir Khosrowshahi, Bruno A. Olshausen:
Learning and Inference in Sparse Coding Models With Langevin Dynamics. Neural Comput. 34(8): 1676-1700 (2022) - Nicolas Langer, Martyna Beata Plomecka, Marius Tröndle, Anuja Negi, Tzvetan Popov, Michael P. Milham, Stefan Haufe:
A benchmark for prediction of psychiatric multimorbidity from resting EEG data in a large pediatric sample. NeuroImage 258: 119348 (2022) - Kyle Lam, Michael D. Abràmoff, José M. Balibrea, Steven M. Bishop, Richard R. Brady, Rachael Callcut, Manish Chand, Justin Collins, Markus K. Diener, Matthias Eisenmann, Kelly Fermont, Manoel Galvao Neto, Gregory D. Hager, Robert J. Hinchliffe, Alan Horgan, Pierre Jannin, Alexander Langerman, Kartik Logishetty, Amit Mahadik, Lena Maier-Hein, Esteban Martín Antona, Pietro Mascagni, Ryan K. Mathew, Beat P. Müller-Stich, Thomas Neumuth, Felix Nickel, Adrian Park, Gianluca Pellino, Frank Rudzicz, Sam Shah, Mark Slack, Myles J. Smith, Naeem Soomro, Stefanie Speidel, Danail Stoyanov, Henry S. Tilney, Martin Wagner, Ara Darzi, James Kinross, Sanjay Purkayastha:
A Delphi consensus statement for digital surgery. npj Digit. Medicine 5 (2022) - Michael Kohler, Adam Krzyzak, Sophie Langer:
Estimation of a Function of Low Local Dimensionality by Deep Neural Networks. IEEE Trans. Inf. Theory 68(6): 4032-4042 (2022) - Philipp Braun, Michaela Grafelmann, Felix Gill, Hauke Stolz, Johannes Hinckeldeyn, Ann-Kathrin Lange:
Virtual Reality for Immersive Multi-User Firefighter Training Scenarios. Virtual Real. Intell. Hardw. 4(5): 406-417 (2022) - Jan Andre Fagereng, Vajira Thambawita, Andrea M. Storås, Sravanthi Parasa, Thomas de Lange, Pål Halvorsen, Michael A. Riegler:
PolypConnect: Image inpainting for generating realistic gastrointestinal tract images with polyps. CBMS 2022: 66-71 - Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank D. Julca-Aguilar, Michael S. Langer, Werner Ritter, Felix Heide:
Gated2Gated: Self-Supervised Depth Estimation from Gated Images. CVPR 2022: 2801-2811 - Geethan Karunaratne, Michael Hersche, Jovin Langenegger, Giovanni Cherubini, Manuel Le Gallo, Urs Egger, Kevin Brew, Samuel Choi, Injo Ok, Mary Claire Silvestre, Ning Li, Nicole Saulnier, Victor Chan, Ishtiaq Ahsan, Vijay Narayanan, Luca Benini, Abu Sebastian, Abbas Rahimi:
In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. ESSCIRC 2022: 105-108 - Michael S. Langer, David Bourque:
Specular Streaks in Stereo. ICPR 2022: 3779-3785 - Daniel Seichter, Patrick Langer, Tim Wengefeld, Benjamin Lewandowski, Dominik Höchemer, Horst-Michael Gross:
Efficient and Robust Semantic Mapping for Indoor Environments. ICRA 2022: 9221-9227 - Tim Langer, Volkhard Beyer, Michael Rölleke:
A System Concept for Embedded Condition Monitoring of Electronic Sensor Modules. ICSRS 2022: 519-524