Publication

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Graph Chat

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Large-scale neural networks implemented with non-volatile memory as the synaptic weight element: impact of conductance response

Chat with Graph Search

Source-Free Domain-Invariant Performance Prediction

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Adversarial Training for Jamming-Robust Channel Estimation in OFDM Systems

AdaNCA: Neural Cellular Automata as Adaptors for More Robust Vision Transformer

Extensions of Peer Prediction Incentive Mechanisms

Towards Scalable Electronics: Synthetic 2D Materials for Large-Area 2D Circuit Integration

EdgeAI-Aware Design of In-Memory Computing Architectures

Instabilities in Elastic and Magneto-Elastic Beams and Shells: from Shell Buckling to the Design of a Programmable Braille Reader

An Investigation of Manifold-Based Direct Control for a Brain-to-Body Neural Bypass

Deep Learning Theory Through the Lens of Diagonal Linear Networks

A story of two transitions: From adhesive to abrasive wear and from ductile to brittle regime

Deep learning approach for identification of H II regions during reionization in 21-cm observations - II. Foreground contamination

Designed Semiconductor Network Random Lasers

Chaosity: Understanding Contemporary NUMA-architectures

Bayes-optimal Learning of Deep Random Networks of Extensive-width

HetCache: Synergising NVMe Storage and GPU acceleration for Memory-Efficient Analytics

2D Nanosystems: Applications of 2D Semiconductors for In-Memory Computing

Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems

Forest Drought Impact Prediction based on Spatio-temporal Satellite Imagery and Weather Forecasts -- A Spatio-Temporal Approach using Convolutional LSTM Models

Towards Robust Monitoring of the Laser Powder Bed Fusion Process based on Acoustic Emission combined with Machine Learning Solutions