1 citations · 1 across the 4 of their papers we have counts for
10 papers
SADT: Combining Sharpness-Aware Minimization with Self-Distillation for Improved Model Generalization
Masud An-Nur Islam Fahim, Jani Boutellier
Methods for improving deep neural network training times and model generalizability consist of various data augmentation, regularization, and optimization approaches, which tend to…
Multiple Offsets Multilateration: a new paradigm for sensor network calibration with unsynchronized reference nodes
Luca Ferranti, Kalle Åström, Magnus Oskarsson +2
Positioning using wave signal measurements is used in several applications, such as GPS systems, structure from sound and Wifi based positioning. Mathematically, such problems requ…
Edge-PRUNE: Flexible Distributed Deep Learning Inference
Jani Boutellier, Bo Tan, Jari Nurmi
Collaborative deep learning inference between low-resource endpoint devices and edge servers has received significant research interest in the last few years. Such computation part…
Homotopy Continuation for Sensor Networks Self-Calibration
Luca Ferranti, Kalle Åström, Magnus Oskarsson +2
Given a sensor network, TDOA self-calibration aims at simultaneously estimating the positions of receivers and transmitters, and transmitters time offsets. This can be formulated a…
LightSAL: Lightweight Sign Agnostic Learning for Implicit Surface Representation
Abol Basher, Muhammad Sarmad, Jani Boutellier
Recently, several works have addressed modeling of 3D shapes using deep neural networks to learn implicit surface representations. Up to now, the majority of works have concentrate…
Can You Trust Your Pose? Confidence Estimation in Visual Localization
Luca Ferranti, Xiaotian Li, Jani Boutellier +1
Camera pose estimation in large-scale environments is still an open question and, despite recent promising results, it may still fail in some situations. The research so far has fo…