Publication

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

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.

Stochasticity helps to navigate rough landscapes: comparing gradient-descent-based algorithms in the phase retrieval problem

Chat with Graph Search

MARBLE: interpretable representations of neural population dynamics using geometric deep learning

Phase Retrieval: From Computational Imaging to Machine Learning: A tutorial

Teaching oxidation states to neural networks

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians

Training Efficient Controllers via Analytic Policy Gradient

Transferability of Learnt Speech Representations for Decoding Non-Human Vocal Communication

An optimal preconditioned FFT-accelerated finite element solver for homogenization

Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence

Phase Reconstruction of Low-Energy Electron Holograms of Individual Proteins

Musculoskeletal motor control with reinforcement learning

Intelligent Soft Robotic System for Sensing and Recognition via Triboelectric‐Based Multi‐Sensor Fusion

Masked Training of Neural Networks with Partial Gradients

On the Double Descent of Random Features Models Trained with SGD

TimeGPT in load forecasting: A large time series model perspective

Ensemble learning for portfolio valuation and risk management

Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks

Beyond Pixels: Semi-supervised Semantic Segmentation with a Multi-scale Patch-Based Multi-label Classifier

Towards Understanding Sharpness-Aware Minimization

Iterative pre-conditioning for expediting the distributed gradient-descent method: The case of linear least-squares problem