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05/15/2023
PMIndiaSum: Multilingual and Cross-lingual Headline Summarization for Languages in India
This paper introduces PMIndiaSum, a new multilingual and massively paral...
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04/17/2023
Refusion: Enabling Large-Size Realistic Image Restoration with Latent-Space Diffusion Models
This work aims to improve the applicability of diffusion models in reali...
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03/30/2023
Gaussian-Based Parametric Bijections For Automatic Projection Filters
The automatic projection filter is a recently developed numerical method...
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03/24/2023
Stochastic filtering with moment representation
Stochastic filtering refers to estimating the probability distribution o...
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01/27/2023
Image Restoration with Mean-Reverting Stochastic Differential Equations
This paper presents a stochastic differential equation (SDE) approach fo...
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10/22/2022
Understanding Domain Learning in Language Models Through Subpopulation Analysis
We investigate how different domains are encoded in modern neural networ...
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08/30/2022
To Adapt or to Fine-tune: A Case Study on Abstractive Summarization
Recent advances in the field of abstractive summarization leverage pre-t...
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05/12/2022
Probabilistic Estimation of Chirp Instantaneous Frequency Using Gaussian Processes
We present a probabilistic approach for estimating chirp signal and its ...
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05/09/2022
A Unified Model for Reverse Dictionary and Definition Modelling
We train a dual-way neural dictionary to guess words from definitions (r...
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04/01/2022
Revisiting Shallow Discourse Parsing in the PDTB-3: Handling Intra-sentential Implicits
In the PDTB-3, several thousand implicit discourse relations were newly ...
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12/16/2021
Multidimensional Projection Filters via Automatic Differentiation and Sparse-Grid Integration
The projection filter is a method for approximating the dynamics of cond...
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11/24/2021
State-space deep Gaussian processes with applications
This thesis is mainly concerned with state-space approaches for solving ...
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11/11/2021
Silicon photonic subspace neural chip for hardware-efficient deep learning
As deep learning has shown revolutionary performance in many artificial ...
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09/30/2021
Non-linear Gaussian smoothing with Taylor moment expansion
This letter is concerned with solving continuous-discrete Gaussian smoot...
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05/20/2021
Hierarchical Non-Stationary Temporal Gaussian Processes With L^1-Regularization
This paper is concerned with regularized extensions of hierarchical non-...
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02/19/2021
Temporal Gaussian Process Regression in Logarithmic Time
The aim of this article is to present a novel parallelization method for...
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12/21/2020
Efficient On-Chip Learning for Optical Neural Networks Through Power-Aware Sparse Zeroth-Order Optimization
Optical neural networks (ONNs) have demonstrated record-breaking potenti...
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10/13/2020
Extending Implicit Discourse Relation Recognition to the PDTB-3
The PDTB-3 contains many more Implicit discourse relations than the prev...
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09/28/2020
Reducing Quantity Hallucinations in Abstractive Summarization
It is well-known that abstractive summaries are subject to hallucination...
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08/11/2020
Deep State-Space Gaussian Processes
This paper is concerned with a state-space approach to deep Gaussian pro...
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01/08/2020
Taylor Moment Expansion for Continuous-Discrete Gaussian Filtering and Smoothing
The paper is concerned with non-linear Gaussian filtering and smoothing ...
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09/06/2019
Automated Polysomnography Analysis for Detection of Non-Apneic and Non-Hypopneic Arousals using Feature Engineering and a Bidirectional LSTM Network
Objective: The aim of this study is to develop an automated classificati...
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12/12/2018
Kalman-based Spectro-Temporal ECG Analysis using Deep Convolutional Networks for Atrial Fibrillation Detection
In this article, we propose a novel ECG classification framework for atr...
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07/29/2013