no code implementations • 23 Apr 2024 • João Monteiro, Étienne Marcotte, Pierre-André Noël, Valentina Zantedeschi, David Vázquez, Nicolas Chapados, Christopher Pal, Perouz Taslakian
Just-in-time processing of a context is inefficient due to the quadratic cost of self-attention operations, and caching is desirable.
no code implementations • 13 Mar 2024 • Danru Xu, Dingling Yao, Sébastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, Sara Magliacane
Causal representation learning aims at identifying high-level causal variables from perceptual data.
no code implementations • 21 Dec 2023 • Issam Laradji, Perouz Taslakian, Sai Rajeswar, Valentina Zantedeschi, Alexandre Lacoste, Nicolas Chapados, David Vazquez, Christopher Pal, Alexandre Drouin
The extraction of a small number of relevant insights from vast amounts of data is a crucial component of data-driven decision-making.
1 code implementation • 7 Nov 2023 • Dingling Yao, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, Francesco Locatello
We present a unified framework for studying the identifiability of representations learned from simultaneously observed views, such as different data modalities.
no code implementations • 28 Oct 2023 • Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, Yoshua Bengio
A key aspect of human intelligence is the ability to imagine -- composing learned concepts in novel ways -- to make sense of new scenarios.
no code implementations • 14 Oct 2022 • Jonathan Pilault, Michael Galkin, Bahare Fatemi, Perouz Taslakian, David Vasquez, Christopher Pal
While using our new path-finding algorithm as a pretraining signal provides 2-3% MRR improvements, we show that pretraining on all signals together gives the best knowledge graph completion results.
1 code implementation • 22 Jul 2021 • Philippe Brouillard, Perouz Taslakian, Alexandre Lacoste, Sebastien Lachapelle, Alexandre Drouin
Causal discovery from observational data is a challenging task that can only be solved up to a set of equivalent solutions, called an equivalence class.
1 code implementation • 18 Feb 2021 • Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole
Embedding-based methods for reasoning in knowledge hypergraphs learn a representation for each entity and relation.
1 code implementation • 1 Jun 2019 • Bahare Fatemi, Perouz Taslakian, David Vazquez, David Poole
Knowledge graphs store facts using relations between two entities.
1 code implementation • CVPR 2019 • Guillem Cucurull, Perouz Taslakian, David Vazquez
How do we determine whether two or more clothing items are compatible or visually appealing?
Ranked #1 on Slot Filling on Polyvore
no code implementations • 7 Aug 2018 • Nare Karapetyan, Kelly Benson, Chris McKinney, Perouz Taslakian, Ioannis Rekleitis
In this paper we present two approximation heuristics for solving the multi-robot coverage problem.