Eric Gaussier
31 papers · 2001–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 11 separate collaboration groups - the largest holds only 32% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Eric Gaussier?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Emilie Devijver, Charles K. Assaad, Massih R. Amini
9 papers
· 2013–2025
· UAI, NeurIPS, IJCAI
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Complete Characterization for Adjustment in Summary Causal Graphs of Time Series
UAI 2025
Identifiability of total effects from abstractions of time series causal graphs
UAI 2024
Survey and Evaluation of Causal Discovery Methods for Time Series (Extended Abstract)
IJCAI 2023
Discovery of extended summary graphs in time series
UAI 2022
Smooth And Consistent Probabilistic Regression Trees
NeurIPS 2020
Topical Coherence in LDA-based Models through Induced Segmentation
ACL 2017
Learning Taxonomy Adaptation in Large-scale Classification
JMLR 2016
Modeling topic dependencies in semantically coherent text spans with copulas
COLING 2016
On Flat versus Hierarchical Classification in Large-Scale Taxonomies
NeurIPS 2013
6 papers whose co-authors appear nowhere else under this name
Paramanu: Compact and Competitive Monolingual Language Models for Low-Resource Morphologically Rich Indian Languages
ACL 2026
Globalizing BERT-based Transformer Architectures for Long Document Summarization
EACL 2021
Heavy-tailed Representations, Text Polarity Classification & Data Augmentation
NeurIPS 2020
Mixed-Membership Stochastic Block Models for Weighted Networks
UAI 2020
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
EMNLP 2006
A Geometric View on Bilingual Lexicon Extraction from Comparable Corpora
ACL 2004