Thomas Müller | DeepAI

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∙ 06/05/2023

Neuralangelo: High-Fidelity Neural Surface Reconstruction

Neural surface reconstruction has been shown to be powerful for recoveri...

8 Zhaoshuo Li, et al. ∙

∙ 03/24/2023

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

We present a near real-time method for 6-DoF tracking of an unknown obje...

3 Bowen Wen, et al. ∙

∙ 01/31/2023

Reinforcement learning and decision making via single-photon quantum walks

Variational quantum algorithms represent a promising approach to quantum...

7 Fulvio Flamini, et al. ∙

∙ 10/18/2022

Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation

We present a parallelized optimization method based on fast Neural Radia...

2 Yunzhi Lin, et al. ∙

∙ 09/05/2022

Multi-Tracer Groundwater Dating in Southern Oman using Bayesian Modelling

In the scope of assessing aquifer systems in areas where freshwater is s...

0 Viola Rädle, et al. ∙

∙ 06/15/2022

Variable Bitrate Neural Fields

Neural approximations of scalar and vector fields, such as signed distan...

15 Towaki Takikawa, et al. ∙

∙ 04/22/2022

Zero and Few-shot Learning for Author Profiling

Author profiling classifies author characteristics by analyzing how lang...

7 Mara Chinea-Rios, et al. ∙

∙ 04/20/2022

Active Few-Shot Learning with FASL

Recent advances in natural language processing (NLP) have led to strong ...

6 Thomas Müller, et al. ∙

∙ 03/28/2022

Few-Shot Learning with Siamese Networks and Label Tuning

We study the problem of building text classifiers with little or no trai...

6 Thomas Müller, et al. ∙

∙ 01/16/2022

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Neural graphics primitives, parameterized by fully connected neural netw...

5 Thomas Müller, et al. ∙

∙ 11/25/2021

Path Guiding Using Spatio-Directional Mixture Models

We propose a learning-based method for light-path construction in path t...

0 Ana Dodik, et al. ∙

∙ 11/24/2021

Extracting Triangular 3D Models, Materials, and Lighting From Images

We present an efficient method for joint optimization of topology, mater...

5 Jacob Munkberg, et al. ∙

∙ 09/09/2021

MATE: Multi-view Attention for Table Transformer Efficiency

This work presents a sparse-attention Transformer architecture for model...

10 Julian Martin Eisenschlos, et al. ∙

∙ 08/11/2021

Dynamic Diffuse Global Illumination Resampling

Interactive global illumination remains a challenge in radiometrically- ...

0 Zander Majercik, et al. ∙

∙ 06/23/2021

Real-time Neural Radiance Caching for Path Tracing

We present a real-time neural radiance caching method for path-traced gl...

5 Thomas Müller, et al. ∙

∙ 06/01/2021

DoT: An efficient Double Transformer for NLP tasks with tables

Transformer-based approaches have been successfully used to obtain state...

11 Syrine Krichene, et al. ∙

∙ 04/02/2021

TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training

We present the TAPAS contribution to the Shared Task on Statement Verifi...

6 Thomas Müller, et al. ∙

∙ 03/22/2021

Open Domain Question Answering over Tables via Dense Retrieval

Recent advances in open-domain QA have led to strong models based on den...

11 Jonathan Herzig, et al. ∙

∙ 10/14/2020

Collective defense of honeybee colonies: experimental results and theoretical modeling

Social insect colonies routinely face large vertebrate predators, agains...

6 Andrea López-Incera, et al. ∙

∙ 10/01/2020

Understanding tables with intermediate pre-training

Table entailment, the binary classification task of finding if a sentenc...

0 Julian Martin Eisenschlos, et al. ∙

∙ 06/02/2020

Neural Control Variates

We propose neural control variates (NCV) for unbiased variance reduction...

0 Thomas Müller, et al. ∙

∙ 04/05/2020

TAPAS: Weakly Supervised Table Parsing via Pre-training

Answering natural language questions over tables is usually seen as a se...

10 Jonathan Herzig, et al. ∙

∙ 04/01/2020

Development of swarm behavior in artificial learning agents that adapt to different foraging environments

Collective behavior, and swarm formation in particular, has been studied...

0 Andrea López-Incera, et al. ∙

∙ 10/15/2019

How a minimal learning agent can infer the existence of unobserved variables in a complex environment

According to a mainstream position in contemporary cognitive science and...

0 Katja Ried, et al. ∙

∙ 08/30/2019

Answering Conversational Questions on Structured Data without Logical Forms

We present a novel approach to answering sequential questions based on s...

0 Thomas Müller, et al. ∙

∙ 08/11/2018

Neural Importance Sampling

We propose to use deep neural networks for generating samples in Monte C...

0 Thomas Müller, et al. ∙

∙ 12/04/2017

Modelling collective motion based on the principle of agency

Collective motion is an intriguing phenomenon, especially considering th...

0 Katja Ried, et al. ∙

∙ 09/15/2017

Deep Scattering: Rendering Atmospheric Clouds with Radiance-Predicting Neural Networks

We present a technique for efficiently synthesizing images of atmospheri...

0 Simon Kallweit, et al. ∙

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