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Publication search results
found 51 matches
- 2024
- Corey Lammie, Flavio Ponzina, Yuxuan Wang, Joshua Klein, Marina Zapater, Irem Boybat, Abu Sebastian, Giovanni Ansaloni, David Atienza:
LionHeart: A Layer-based Mapping Framework for Heterogeneous Systems with Analog In-Memory Computing Tiles. CoRR abs/2401.09420 (2024) - Corey Lammie, Athanasios Vasilopoulos, Julian Büchel, Giacomo Camposampiero, Manuel Le Gallo, Malte J. Rasch, Abu Sebastian:
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training. CoRR abs/2401.09859 (2024) - Elena Ferro, Athanasios Vasilopoulos, Corey Lammie, Manuel Le Gallo, Luca Benini, Irem Boybat, Abu Sebastian:
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing. CoRR abs/2402.07549 (2024) - Dyke Ferber, Omar S. M. El Nahhas, Georg Wölflein, Isabella C. Wiest, Jan Clusmann, Marie-Elisabeth Leßman, Sebastian Foersch, Jacqueline Lammert, Maximilian Tschochohei, Dirk Jäger, Manuel Salto-Tellez, Nikolaus Schultz, Daniel Truhn, Jakob Nikolas Kather:
Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology. CoRR abs/2404.04667 (2024) - 2023
- Julian Büchel, Athanasios Vasilopoulos, Benedikt Kersting, Corey Lammie, Kevin Brew, Timothy Philip, Nicole Saulnier, Vijay Narayanan, Manuel Le Gallo, Abu Sebastian:
Programming Weights to Analog In-Memory Computing Cores by Direct Minimization of the Matrix-Vector Multiplication Error. IEEE J. Emerg. Sel. Topics Circuits Syst. 13(4): 1052-1061 (2023) - Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui:
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. EDGE 2023: 233-244 - Ernestine Großmann, Sebastian Lamm, Christian Schulz, Darren Strash:
Finding Near-Optimal Weight Independent Sets at Scale. GECCO 2023: 293-302 - Hadjer Benmeziane, Corey Lammie, Irem Boybat, Malte J. Rasch, Manuel Le Gallo, Hsinyu Tsai, Ramachandran Muralidhar, Smaïl Niar, Hamza Ouarnoughi, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui:
AnalogNAS: A Neural Network Design Framework for Accurate Inference with Analog In-Memory Computing. CoRR abs/2305.10459 (2023) - Manuel Le Gallo, Corey Lammie, Julian Büchel, Fabio Carta, Omobayode Fagbohungbe, Charles Mackin, Hsinyu Tsai, Vijay Narayanan, Abu Sebastian, Kaoutar El Maghraoui, Malte J. Rasch:
Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural Network Training and Inference. CoRR abs/2307.09357 (2023) - Simon Klix, Nils Albartus, Julian Speith, Paul Staat, Alice Verstege, Annika Wilde, Daniel Lammers, Jörn Langheinrich, Christian Kison, Sebastian Sester, Daniel E. Holcomb, Christof Paar:
Stealing Maggie's Secrets - On the Challenges of IP Theft Through FPGA Reverse Engineering. CoRR abs/2312.06195 (2023) - 2022
- Sebastian Lamm:
Scalable Graph Algorithms using Practically Efficient Data Reductions. Karlsruhe Institute of Technology, Germany, 2022 - Sebastian Lämmel, Vladimir Shikhman:
On nondegenerate M-stationary points for sparsity constrained nonlinear optimization. J. Glob. Optim. 82(2): 219-242 (2022) - Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi, Christian Y. Mardin, Robert Lämmer, Andreas K. Maier, Vincent Christlein:
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-modal Retinal Image Registration. Bildverarbeitung für die Medizin 2022: 57-62 - Sebastian Lamm, Peter Sanders:
Communication-efficient Massively Distributed Connected Components. IPDPS 2022: 302-312 - Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz:
Recent Advances in Scalable Network Generation1. Massive Graph Analytics 2022: 333-376 - Faisal N. Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, Darren Strash:
Recent Advances in Practical Data Reduction. Algorithms for Big Data 2022: 97-133 - Aline Sindel, Bettina Hohberger, Sebastian Fassihi Dehcordi, Christian Y. Mardin, Robert Lämmer, Andreas K. Maier, Vincent Christlein:
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-Modal Retinal Image Registration. CoRR abs/2201.02242 (2022) - Ernestine Großmann, Sebastian Lamm, Christian Schulz, Darren Strash:
Finding Near-Optimal Weight Independent Sets at Scale. CoRR abs/2208.13645 (2022) - 2021
- Alexander Gellner, Sebastian Lamm, Christian Schulz, Darren Strash, Bogdán Zaválnij:
Boosting Data Reduction for the Maximum Weight Independent Set Problem Using Increasing Transformations. ALENEX 2021: 128-142 - Demian Hespe, Sebastian Lamm, Christian Schorr:
Targeted Branching for the Maximum Independent Set Problem. SEA 2021: 17:1-17:21 - Demian Hespe, Sebastian Lamm, Christian Schorr:
Targeted Branching for the Maximum Independent Set Problem. CoRR abs/2102.01540 (2021) - 2020
- Stefan Kowarik, Maria-Teresa Hussels, Sebastian Chruscicki, Sven Münzenberger, Andy Lämmerhirt, Patrick Pohl, Max Schubert:
Fiber Optic Train Monitoring with Distributed Acoustic Sensing: Conventional and Neural Network Data Analysis. Sensors 20(2): 450 (2020) - Damir Ferizovic, Demian Hespe, Sebastian Lamm, Matthias Mnich, Christian Schulz, Darren Strash:
Engineering Kernelization for Maximum Cut. ALENEX 2020: 27-41 - Demian Hespe, Sebastian Lamm, Christian Schulz, Darren Strash:
WeGotYouCovered: The Winning Solver from the PACE 2019 Challenge, Vertex Cover Track. CSC 2020: 1-11 - Manuel Penschuck, Ulrik Brandes, Michael Hamann, Sebastian Lamm, Ulrich Meyer, Ilya Safro, Peter Sanders, Christian Schulz:
Recent Advances in Scalable Network Generation. CoRR abs/2003.00736 (2020) - Alexander Gellner, Sebastian Lamm, Christian Schulz, Darren Strash, Bogdán Zaválnij:
Boosting Data Reduction for the Maximum Weight Independent Set Problem Using Increasing Transformations. CoRR abs/2008.05180 (2020) - Faisal N. Abu-Khzam, Sebastian Lamm, Matthias Mnich, Alexander Noe, Christian Schulz, Darren Strash:
Recent Advances in Practical Data Reduction. CoRR abs/2012.12594 (2020) - 2019
- Sebastian Lammers, Gary Bente, Ralf Tepest, Mathis Jording, Daniel Roth, Kai Vogeley:
Introducing ACASS: An Annotated Character Animation Stimulus Set for Controlled (e)Motion Perception Studies. Frontiers Robotics AI 6: 94 (2019) - Daniel Funke, Sebastian Lamm, Ulrich Meyer, Manuel Penschuck, Peter Sanders, Christian Schulz, Darren Strash, Moritz von Looz:
Communication-free massively distributed graph generation. J. Parallel Distributed Comput. 131: 200-217 (2019) - Alexander Geiger, Gary Bente, Sebastian Lammers, Ralf Tepest, Daniel Roth, Danilo Bzdok, Kai Vogeley:
Distinct functional roles of the mirror neuron system and the mentalizing system. NeuroImage 202 (2019)
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