7 papers
Remote Action Generation: Remote Control with Minimal Communication
Szymon Kobus, Deniz Gündüz
We address the challenge of remote control where one or more actors, lacking direct reward access, are steered by a controller over a communication-constrained channel. The control…
Speculative Sampling via Exponential Races
Szymon Kobus, Deniz Gündüz
Speculative decoding accelerates large language model inference using a smaller draft model. In this paper, we establish a surprising connection between speculative decoding and ch…
Gaussian Channel Simulation with Rotated Dithered Quantization
Szymon Kobus, Lucas Theis, Deniz Gündüz
Channel simulation involves generating a sample from the conditional distribution , where is a remote realization sampled from . This paper introduces a novel…
Timely and Massive Communication in 6G: Pragmatics, Learning, and Inference
Deniz Gündüz, Federico Chiariotti, Kaibin Huang +3
5G has expanded the traditional focus of wireless systems to embrace two new connectivity types: ultra-reliable low latency and massive communication. The technology context at the…
Semantic Communication of Learnable Concepts
Francesco Pase, Szymon Kobus, Deniz Gunduz +1
We consider the problem of communicating a sequence of concepts, i.e., unknown and potentially stochastic maps, which can be observed only through examples, i.e., the mapping rules…
Federated mmWave Beam Selection Utilizing LIDAR Data
Mahdi Boloursaz Mashhadi, Mikolaj Jankowski, Tze-Yang Tung +2
Efficient link configuration in millimeter wave (mmWave) communication systems is a crucial yet challenging task due to the overhead imposed by beam selection. For vehicle-to-infra…
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning over Noisy Channels
Tze-Yang Tung, Szymon Kobus, Joan Roig Pujol +1
We propose a novel formulation of the "effectiveness problem" in communications, put forth by Shannon and Weaver in their seminal work [2], by considering multiple agents communica…