Publications related to Dynamic Partitioned Sampling For Tracking With Discriminative Features

Pre-annealing for improved LPCVD deposited boron-doped poly-Si hole-selective contacts

Franz-Josef Haug, Luca Massimiliano Antognini, Josua Andreas Stückelberger, Xinyu Zhang, Zhao Wang, Jie Yang

We demonstrate the beneficial effect of a pre-annealing step prior to the boron diffusion on passivation and contact resistivity of industrially LPCVD deposited poly-Si/SiOX hole-selective contacts. We investigate the influence of the pre-annealing tempera ...

ELSEVIER2023

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

Michael Reimann, Christoph Pokorny, Ran Levi

In motor-related brain regions, movement intention has been successfully decoded from invivo spike train by isolating a lower-dimension manifold that the high-dimensional spiking activity is constrained to. The mechanism enforcing this constraint remains u ...

PUBLIC LIBRARY SCIENCE2022

Is there an analog of Nesterov acceleration for gradient-based MCMC?

Nicolas Henri Bernard Flammarion, Xiang Cheng

We formulate gradient-based Markov chain Monte Carlo (MCMC) sampling as optimization on the space of probability measures, with Kullback-Leibler (KL) divergence as the objective functional. We show that an under-damped form of the Langevin algorithm perfor ...

INT STATISTICAL INST2021

Global Free-Energy Landscapes as a Smoothly Joined Collection of Local Maps

Michele Ceriotti, Gareth Aneurin Tribello, Federico Giberti

Enhanced sampling techniques have become an essential tool in computational chemistry and physics, where they are applied to sample activated processes that occur on a time scale that is inaccessible to conventional simulations. Despite their popularity, i ...

AMER CHEMICAL SOC2021

Generalized parallel tempering on Bayesian inverse problems

Fabio Nobile, Juan Pablo Madrigal Cianci

In the current work we present two generalizations of the Parallel Tempering algorithm in the context of discrete-timeMarkov chainMonteCarlo methods for Bayesian inverse problems. These generalizations use state-dependent swapping rates, inspired by the so ...

SPRINGER2021

Printed Iontophoretic‐Integrated Wearable Microfluidic Sweat‐Sensing Patch for On‐Demand Point‐Of‐Care Sweat Analysis

Danick Briand, Silvia Demuru, Brince Paul Kunnel

In recent years, wearable epidermal sweat sensors have received extensive attention owing to their great potential to provide personalized information on the health status of individuals at the molecular level. For on‐demand medical analysis of sweat in se ...

2021

Collaborative Sampling in Generative Adversarial Networks

Alexandre Massoud Alahi, Yuejiang Liu, Parth Ashit Kothari

The standard practice in Generative Adversarial Networks (GANs) discards the discriminator during sampling. However, this sampling method loses valuable information learned by the discriminator regarding the data distribution. In this work, we propose a co ...

2020

Slope-Space Integrals for Specular Next Event Estimation

Wenzel Alban Jakob, Tizian Lucien Zeltner, Guillaume Rémi Bruno Loubet

Monte Carlo light transport simulations often lack robustness in scenes containing specular or near-specular materials. Widely used uni- and bidirectional sampling strategies tend to find light paths involving such materials with insufficient probability, ...

ASSOC COMPUTING MACHINERY2020

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Dynamic Partitioned Sampling For Tracking With Discriminative Features

Pre-annealing for improved LPCVD deposited boron-doped poly-Si hole-selective contacts

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

On the Double Descent of Random Features Models Trained with SGD

Is there an analog of Nesterov acceleration for gradient-based MCMC?

Global Free-Energy Landscapes as a Smoothly Joined Collection of Local Maps

Generalized parallel tempering on Bayesian inverse problems

Printed Iontophoretic‐Integrated Wearable Microfluidic Sweat‐Sensing Patch for On‐Demand Point‐Of‐Care Sweat Analysis

Collaborative Sampling in Generative Adversarial Networks

Slope-Space Integrals for Specular Next Event Estimation

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

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Chat with Graph Search

Pre-annealing for improved LPCVD deposited boron-doped poly-Si hole-selective contacts

Topology of synaptic connectivity constrains neuronal stimulus representation, predicting two complementary coding strategies

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Collaborative Sampling in Generative Adversarial Networks

Generalized parallel tempering on Bayesian inverse problems

On the Double Descent of Random Features Models Trained with SGD

Global Free-Energy Landscapes as a Smoothly Joined Collection of Local Maps

Slope-Space Integrals for Specular Next Event Estimation

Printed Iontophoretic‐Integrated Wearable Microfluidic Sweat‐Sensing Patch for On‐Demand Point‐Of‐Care Sweat Analysis

Is there an analog of Nesterov acceleration for gradient-based MCMC?