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Publication search results
found 117 matches
- 2024
- Jake Langham, Mark J. Woodhouse:
The Kestrel software for simulations of morphodynamic Earth-surface flows. J. Open Source Softw. 9(94): 6079 (2024) - Kevin Hilbert, Joscha Böhnlein, Charlotte Meinke, Alice V. Chavanne, Till Langhammer, Lara Stumpe, Nils R. Winter, Ramona Leenings, Dirk Adolph, Volker Arolt, Sophie Bischoff, Jan C. Cwik, Jürgen Deckert, Katharina Domschke, Thomas Fydrich, Bettina Gathmann, Alfons O. Hamm, Ingmar Heinig, Martin J. Herrmann, Maike Hollandt, Jürgen Hoyer, Markus Junghöfer, Tilo Kircher, Katja Koelkebeck, Martin Lotze, Jürgen Margraf, Jennifer L. M. Mumm, Peter Neudeck, Paul Pauli, Andre Pittig, Jens Plag, Jan Richter, Isabelle C. Ridderbusch, Winfried Rief, Silvia Schneider, Hanna Schwarzmeier, Fabian R. Seeger, Niklas Siminski, Benjamin Straube, Thomas Straube, Andreas Ströhle, Hans-Ulrich Wittchen, Adrian Wroblewski, Yunbo Yang, Kati Roesmann, Elisabeth J. Leehr, Udo Dannlowski, Ulrike Lueken:
Lack of evidence for predictive utility from resting state fMRI data for individual exposure-based cognitive behavioral therapy outcomes: A machine learning study in two large multi-site samples in anxiety disorders. NeuroImage 295: 120639 (2024) - Montree Kumngern, Fabian Khateb, Tomasz Kulej, Lukas Langhammer:
1 V Electronically Tunable Differential Difference Current Conveyors Using Multiple-Input Operational Transconductance Amplifiers. Sensors 24(5): 1558 (2024) - Martin Langhammer, Bogdan Pasca, Igor Kucherenko:
Multiplier Architecture with a Carry-Based Partial Product Encoding. ARITH 2024: 104-107 - Martin Langhammer, George A. Constantinides:
A Statically and Dynamically Scalable Soft GPGPU. FPGA 2024: 165-175 - Martin Langhammer, George A. Constantinides:
Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap. HEART 2024: 44-52 - Agnes Koschmider, Milda Aleknonyte-Resch, Frederik Fonger, Christian Imenkamp, Arvid Lepsien, Kaan Apaydin, Dominik Janssen, Dominic Langhammer, Tobias Ziolkowski, Yorck Zisgen:
Process Mining for Unstructured Data: Challenges and Research Directions. Modellierung 2024: 119-136 - Martin Langhammer, George A. Constantinides:
A Statically and Dynamically Scalable Soft GPGPU. CoRR abs/2401.04261 (2024) - Agnes Koschmider, Milda Aleknonyte-Resch, Frederik Fonger, Christian Imenkamp, Arvid Lepsien, Kaan Apaydin, Maximilian Harms, Dominik Janssen, Dominic Langhammer, Tobias Ziolkowski, Yorck Zisgen:
Process Mining for Unstructured Data: Challenges and Research Directions. CoRR abs/2401.13677 (2024) - Martin Langhammer, George A. Constantinides:
Soft GPGPU versus IP cores: Quantifying and Reducing the Performance Gap. CoRR abs/2406.03227 (2024) - Shengbang Tong, Ellis Brown, Penghao Wu, Sanghyun Woo, Manoj Middepogu, Sai Charitha Akula, Jihan Yang, Shusheng Yang, Adithya Iyer, Xichen Pan, Austin Wang, Rob Fergus, Yann LeCun, Saining Xie:
Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs. CoRR abs/2406.16860 (2024) - 2023
- Aaron W. Langham, Andrew Moeller, Devin W. Quinn, Thomas C. Krause, Daisy H. Green, Steven B. Leeb:
Securable Networks for Nonintrusive Sensor Fusion. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - Bogdan Pasca, Martin Langhammer:
Extracting low-precision floating-point adders from embedded hard FP DSP Blocks on FPGAs. ARITH 2023: 139-142 - Sergey Gribok, Bogdan Pasca, Martin Langhammer:
CSAIL2019 Crypto-Puzzle Solver Architecture. FPGA 2023: 197-207 - Martin Langhammer, George A. Constantinides:
eGPU: A 750 MHz Class Soft GPGPU for FPGA. FPL 2023: 277-282 - Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak:
Your Diffusion Model is Secretly a Zero-Shot Classifier. ICCV 2023: 2206-2217 - Marcelo Gennari Do Nascimento, Victor Adrian Prisacariu, Roger Fawcett, Martin Langhammer:
HyperBlock Floating Point: Generalised Quantization Scheme for Gradient and Inference Computation. WACV 2023: 6353-6362 - Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak:
Your Diffusion Model is Secretly a Zero-Shot Classifier. CoRR abs/2303.16203 (2023) - Martin Langhammer, George A. Constantinides:
eGPU: A 750 MHz Class Soft GPGPU for FPGA. CoRR abs/2307.08378 (2023) - Bita Darvish Rouhani, Ritchie Zhao, Ankit More, Mathew Hall, Alireza Khodamoradi, Summer Deng, Dhruv Choudhary, Marius Cornea, Eric Dellinger, Kristof Denolf, Dusan Stosic, Venmugil Elango, Maximilian Golub, Alexander Heinecke, Phil James-Roxby, Dharmesh Jani, Gaurav Kolhe, Martin Langhammer, Ada Li, Levi Melnick, Maral Mesmakhosroshahi, Andres Rodriguez, Michael Schulte, Rasoul Shafipour, Lei Shao, Michael Y. Siu, Pradeep Dubey, Paulius Micikevicius, Maxim Naumov, Colin Verilli, Ralph Wittig, Doug Burger, Eric S. Chung:
Microscaling Data Formats for Deep Learning. CoRR abs/2310.10537 (2023) - 2022
- Min Kyong Kim, Stefania Druga, Shaghayegh Esmaeili, Julia Woodward, Alex Shaw, Ayushi Jain, Jaida Langham, Kristy Hollingshead, Silvia B. Lovato, Erin Beneteau, Jaime Ruiz, Lisa Anthony, Alexis Hiniker:
Examining voice assistants in the context of children's speech. Int. J. Child Comput. Interact. 34: 100540 (2022) - Martin Langhammer, Eriko Nurvitadhi, Sergey Gribok, Bogdan Pasca:
Stratix 10 NX Architecture. ACM Trans. Reconfigurable Technol. Syst. 15(4): 45:1-45:32 (2022) - Martin Langhammer, Sergey Gribok, Bogdan Pasca:
Low-Latency Modular Exponentiation for FPGAs. FCCM 2022: 1-9 - Jordan Langham-Lopez, Sebastian M. Schmon, Patrick Cannon:
High Performance Simulation for Scalable Multi-Agent Reinforcement Learning. CoRR abs/2207.03945 (2022) - 2021
- Tian Tan, Eriko Nurvitadhi, Aravind Dasu, Martin Langhammer, Derek Chiou:
FlexScore: Quantifying Flexibility. IEEE Comput. Archit. Lett. 20(1): 58-61 (2021) - Heiko Klare, Max E. Kramer, Michael Langhammer, Dominik Werle, Erik Burger, Ralf H. Reussner:
Enabling consistency in view-based system development - The Vitruvius approach. J. Syst. Softw. 171: 110815 (2021) - Theodora Lendzioch, Jakub Langhammer, Lukás Vlcek, Robert Minarík:
Mapping the Groundwater Level and Soil Moisture of a Montane Peat Bog Using UAV Monitoring and Machine Learning. Remote. Sens. 13(5): 907 (2021) - Robert Minarík, Jakub Langhammer, Theodora Lendzioch:
Detection of Bark Beetle Disturbance at Tree Level Using UAS Multispectral Imagery and Deep Learning. Remote. Sens. 13(23): 4768 (2021) - Rui Ma, Jia-Ching Hsu, Tian Tan, Eriko Nurvitadhi, David Sheffield, Rob Pelt, Martin Langhammer, Jaewoong Sim, Aravind Dasu, Derek Chiou:
Specializing FGPU for Persistent Deep Learning. ACM Trans. Reconfigurable Technol. Syst. 14(2): 10:1-10:23 (2021) - John Langham, Daniel Stamate, Charlotte A. Wu, Fionn Murtagh, Catharine Morgan, David Reeves, Darren Ashcroft, Evangelos Kontopantelis, Brian McMillan:
Predicting risk of dementia with machine learning and survival models using routine primary care records. BIBM 2021: 3036-3042
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