K2: In-Person Posters III |
Session Type: Poster |
Time: Monday, October 31, 15:30 - 17:00 |
Location: Kiln |
K2.1: Towards Adaptive Digital Self-Interference Cancellation in Full-Duplex Wireless Transceivers: APSM vs. Neural Networks |
Mohammadhossein Attar; Technische Universität Berlin |
Kaixin Chang; Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute |
Ramez Askar; Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute |
Sebastian Cammerer; NVIDIA |
Guillermo Marcus; NVIDIA |
Alexander Keller; NVIDIA |
Slawomir Stanczak; Technische Universität Berlin |
K2.2: Active Sampling over Graphs for Bayesian Reconstruction with Gaussian Ensembles |
Konstantinos D. Polyzos; University of Minnesota |
Qin Lu; University of Minnesota |
Georgios B. Giannakis; University of Minnesota |
K2.3: Joint graph learning from Gaussian observations in the presence of hidden nodes |
Samuel Rey; King Juan Carlos University |
Madeline Navarro; Rice University |
Andrei Buciulea; King Juan Carlos University |
Santiago Segarra; Rice University |
Antonio Garcia Marques; King Juan Carlos University |
K2.4: Constrained Reinforcement Learning via Dissipative Saddle Flow Dynamics |
Tianqi Zheng; Johns Hopkins University |
Pengcheng You; Peking University |
Enrique Mallada; Johns Hopkins University |
K2.5: Identifying Core-Periphery Structure Using Graph Neural Networks |
Rajat Kumar; Indian Institute of Science Bangalore |
Sravanthi Gurugubelli; Indian Institute of Science Bangalore |
Sundeep Prabhakar Chepuri; Indian Institute of Science Bangalore |
K2.6: Community Detection in attributed networks using Graph Wavelets |
Meiby Ortiz-Bouza; Michigan State University |
Selin Aviyente; Michigan State University |
K2.7: Convolutional Neural Networks on Manifolds: From Graphs and Back |
Zhiyang Wang; University of Pennsylvania |
Luana Ruiz; Simons-Berkeley Institute |
Alejandro Ribeiro; University of Pennsylvania |
K2.8: Stochastic Sign SGD Can Simultaneously Tolerate Byzantine and Guarantee Privacy |
Ming Xiang; Northeastern University |
Lili Su; Northeastern University |
K2.9: Assisted Learning for Organizations with Limited Data |
Yi Zhou; University of Utah |
Cheng Chen; University of Utah |
Jiaying Zhou; University of Minnesota |
Jie Ding; University of Minnesota |
K2.10: Understanding Benign Overfitting in Personalized Federated Learning |
Lisha Chen; Rensselaer Polytechnic Institute |
Tianyi Chen; Rensselaer Polytechnic Institute |