Pablo Sprechmann | DeepAI

DeepAI AI Chat

Featured Co-authors

Zhe Wang
161 publications
Yann LeCun
125 publications
Yee Whye Teh
122 publications
Nicolas Heess
104 publications
Oriol Vinyals
101 publications
Joan Bruna
96 publications
Remi Munos
89 publications
Razvan Pascanu
87 publications
Nando de Freitas
83 publications
Guillermo Sapiro
76 publications
Michal Valko
73 publications

∙ 05/02/2023

Unlocking the Power of Representations in Long-term Novelty-based Exploration

We introduce Robust Exploration via Clustering-based Online Density Esti...

0 Alaa Saade, et al. ∙

∙ 11/18/2020

Game Plan: What AI can do for Football, and What Football can do for AI

The rapid progress in artificial intelligence (AI) and machine learning ...

11 Karl Tuyls, et al. ∙

∙ 03/30/2020

Agent57: Outperforming the Atari Human Benchmark

Atari games have been a long-standing benchmark in the reinforcement lea...

9 Adrià Puigdomènech Badia, et al. ∙

∙ 02/14/2020

Never Give Up: Learning Directed Exploration Strategies

We propose a reinforcement learning agent to solve hard exploration game...

7 Adrià Puigdomènech Badia, et al. ∙

∙ 05/08/2019

Meta-learning of Sequential Strategies

In this report we review memory-based meta-learning as a tool for buildi...

16 Pedro A. Ortega, et al. ∙

∙ 10/18/2018

Fast deep reinforcement learning using online adjustments from the past

We propose Ephemeral Value Adjusments (EVA): a means of allowing deep re...

0 Steven Hansen, et al. ∙

∙ 06/06/2018

Meta Learning by the Baldwin Effect

The scope of the Baldwin effect was recently called into question by two...

0 Chrisantha Thomas Fernando, et al. ∙

∙ 02/28/2018

Memory-based Parameter Adaptation

Deep neural networks have excelled on a wide range of problems, from vis...

0 Pablo Sprechmann, et al. ∙

∙ 11/10/2016

Disentangling factors of variation in deep representations using adversarial training

We introduce a conditional generative model for learning to disentangle ...

0 Michael Mathieu, et al. ∙

∙ 07/13/2016

Accelerating Eulerian Fluid Simulation With Convolutional Networks

Efficient simulation of the Navier-Stokes equations for fluid flow is a ...

0 Jonathan Tompson, et al. ∙

∙ 11/18/2015

Super-Resolution with Deep Convolutional Sufficient Statistics

Inverse problems in image and audio, and super-resolution in particular,...

0 Joan Bruna, et al. ∙

∙ 12/22/2014

Audio Source Separation with Discriminative Scattering Networks

In this report we describe an ongoing line of research for solving singl...

0 Pablo Sprechmann, et al. ∙

∙ 12/19/2013

Sparse similarity-preserving hashing

In recent years, a lot of attention has been devoted to efficient neares...

0 Jonathan Masci, et al. ∙

∙ 11/25/2013

Robust Multimodal Graph Matching: Sparse Coding Meets Graph Matching

Graph matching is a challenging problem with very important applications...

0 Marcelo Fiori, et al. ∙

∙ 06/18/2012

Learning Efficient Structured Sparse Models

We present a comprehensive framework for structured sparse coding and mo...

0 Alex Bronstein, et al. ∙

∙ 10/23/2010

Collaborative Sources Identification in Mixed Signals via Hierarchical Sparse Modeling

A collaborative framework for detecting the different sources in mixed s...

0 Pablo Sprechmann, et al. ∙

∙ 06/07/2010

C-HiLasso: A Collaborative Hierarchical Sparse Modeling Framework

Sparse modeling is a powerful framework for data analysis and processing...

0 Pablo Sprechmann, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world