Vlad Niculae

104 papers A* 13A 3B 3Misc 4Journal 52Unranked 27
YearRankTypeTitle / Venue / Authors
2026 — conf
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion.
EACL (Findings)
Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae
2026 J jnl
Representation Collapse in Machine Translation Through the Lens of Angular Dispersion.
CoRR
Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae
2026 — conf
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding.
EACL (Volume 1: Long Papers)
Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva
2025 J jnl
Angular Dispersion Accelerates
CoRR
Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae
2025 — conf
Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation.
EMNLP (Findings)
Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae
2025 J jnl
Asking a Language Model for Diverse Responses.
CoRR
Sergey Troshin, Irina Saparina, Antske Fokkens, Vlad Niculae
2025 J jnl
Control the Temperature: Selective Sampling for Diverse and High-Quality LLM Outputs.
CoRR
Sergey Troshin, Wafaa Mohammed, Yan Meng, Christof Monz, Antske Fokkens, Vlad Niculae
2025 J jnl
Discrete Latent Structure in Neural Networks.
Found. Trends Signal Process.
Vlad Niculae, Caio Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins
2025 J jnl
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval.
J. Mach. Learn. Res.
Saul José Rodrigues dos Santos, Vlad Niculae, Daniel C. McNamee, André F. T. Martins
2025 J jnl
Keep your distance: learning dispersed embeddings on $\mathbb{S}_{m}$.
Trans. Mach. Learn. Res.
Evgeniia Tokarchuk, Hua Chang Bakker, Vlad Niculae
2025 J jnl
Keep your distance: learning dispersed embeddings on 𝕊
CoRR
Evgeniia Tokarchuk, Hua Chang Bakker, Vlad Niculae
2025 J jnl
Movie Facts and Fibs (MF
CoRR
Emmanouil Zaranis, António Farinhas, Saul José Rodrigues dos Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K. Surikuchi, André Viveiros, Baohao Liao, Elena Belén Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, André F. T. Martins
2025 J jnl
On the Low-Rank Parametrization of Reward Models for Controlled Language Generation.
Trans. Mach. Learn. Res.
Sergey Troshin, Vlad Niculae, Antske Fokkens
2025 J jnl
Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding.
CoRR
Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva
2025 — conf
kNN For Whisper And Its Effect On Bias And Speaker Adaptation.
NAACL (Findings)
Maya K. Nachesa, Vlad Niculae
2024 J jnl
ARM: Efficient Guided Decoding with Autoregressive Reward Models.
CoRR
Sergey Troshin, Vlad Niculae, Antske Fokkens
2024 J jnl
Analyzing Context Utilization of LLMs in Document-Level Translation.
CoRR
Wafaa Mohammed, Vlad Niculae
2024 — conf
Entropy- and Distance-Regularized Attention Improves Low-Resource Neural Machine Translation.
AMTA (1)
Ali Araabi, Vlad Niculae, Christof Monz
2024 J jnl
Hopfield-Fenchel-Young Networks: A Unified Framework for Associative Memory Retrieval.
CoRR
Saul José Rodrigues dos Santos, Vlad Niculae, Daniel C. McNamee, André F. T. Martins
2024 — conf
On Measuring Context Utilization in Document-Level MT Systems.
EACL (Findings)
Wafaa Mohammed, Vlad Niculae
2024 J jnl
On Measuring Context Utilization in Document-Level MT Systems.
CoRR
Wafaa Mohammed, Vlad Niculae
2024 A* conf
Sparse and Structured Hopfield Networks.
ICML
Saul José Rodrigues dos Santos, Vlad Niculae, Daniel C. McNamee, André F. T. Martins
2024 J jnl
Sparse and Structured Hopfield Networks.
CoRR
Saul José Rodrigues dos Santos, Vlad Niculae, Daniel C. McNamee, André F. T. Martins
2024 — conf
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation.
NAACL (Short Papers)
Evgeniia Tokarchuk, Vlad Niculae
2024 J jnl
We Augmented Whisper With kNN and You Won't Believe What Came Next.
CoRR
Maya K. Nachesa, Vlad Niculae
2023 A* conf
DAG Learning on the Permutahedron.
ICLR
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
2023 J jnl
DAG Learning on the Permutahedron.
CoRR
Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae
2023 J jnl
Discrete Latent Structure in Neural Networks.
CoRR
Vlad Niculae, Caio F. Corro, Nikita Nangia, Tsvetomila Mihaylova, André F. T. Martins
2023 J jnl
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair Variables.
CoRR
Ali Araabi, Vlad Niculae, Christof Monz
2023 J jnl
The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation.
CoRR
Evgeniia Tokarchuk, Vlad Niculae
2023 J jnl
Two derivations of Principal Component Analysis on datasets of distributions.
CoRR
Vlad Niculae
2023 — conf
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens.
EMNLP (Findings)
David Stap, Vlad Niculae, Christof Monz
2023 J jnl
Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens.
CoRR
David Stap, Vlad Niculae, Christof Monz
2023 J jnl
Wrapped β-Gaussians with compact support for exact probabilistic modeling on manifolds.
Trans. Mach. Learn. Res.
Sergey Troshin, Vlad Niculae
2022 Misc conf
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?
AMTA
Ali Araabi, Christof Monz, Vlad Niculae
2022 J jnl
How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation?
CoRR
Ali Araabi, Christof Monz, Vlad Niculae
2022 A* conf
Modeling Structure with Undirected Neural Networks.
ICML
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
2022 J jnl
Modeling Structure with Undirected Neural Networks.
CoRR
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
2022 — conf
On Target Representation in Continuous-output Neural Machine Translation.
RepL4NLP@ACL
Evgeniia Tokarchuk, Vlad Niculae
2022 A* conf
Sparse Communication via Mixed Distributions.
ICLR
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins
2022 J jnl
Sparse Continuous Distributions and Fenchel-Young Losses.
J. Mach. Learn. Res.
André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae
2021 A* conf
Learning Binary Decision Trees by Argmin Differentiation.
ICML
Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae
2021 B conf
Sparse And Structured Visual Attention.
ICIP
Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins
2021 J jnl
Sparse Communication via Mixed Distributions.
CoRR
António Farinhas, Wilker Aziz, Vlad Niculae, André F. T. Martins
2021 J jnl
Sparse Continuous Distributions and Fenchel-Young Losses.
CoRR
André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae
2020 A* conf
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity.
NeurIPS
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins
2020 J jnl
Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity.
CoRR
Gonçalo M. Correia, Vlad Niculae, Wilker Aziz, André F. T. Martins
2020 A* conf
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction.
ICML
Vlad Niculae, André F. T. Martins
2020 J jnl
LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction.
CoRR
Vlad Niculae, André F. T. Martins
2020 J jnl
Learning Binary Trees via Sparse Relaxation.
CoRR
Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae
2020 J jnl
Learning with Fenchel-Young losses.
J. Mach. Learn. Res.
Mathieu Blondel, André F. T. Martins, Vlad Niculae
2020 A* conf
Sparse and Continuous Attention Mechanisms.
NeurIPS
André F. T. Martins, António Farinhas, Marcos V. Treviso, Vlad Niculae, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
2020 J jnl
Sparse and Continuous Attention Mechanisms.
CoRR
André F. T. Martins, Marcos V. Treviso, António Farinhas, Vlad Niculae, Mário A. T. Figueiredo, Pedro M. Q. Aguiar
2020 J jnl
Sparse and Structured Visual Attention.
CoRR
Pedro Henrique Martins, Vlad Niculae, Zita Marinho, André F. T. Martins
2020 — conf
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning.
EMNLP (1)
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
2020 J jnl
Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning.
CoRR
Tsvetomila Mihaylova, Vlad Niculae, André F. T. Martins
2019 — conf
Adaptively Sparse Transformers.
EMNLP/IJCNLP (1)
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins
2019 J jnl
Adaptively Sparse Transformers.
CoRR
Gonçalo M. Correia, Vlad Niculae, André F. T. Martins
2019 — conf
Latent Structure Models for Natural Language Processing.
ACL (4)
André F. T. Martins, Tsvetomila Mihaylova, Nikita Nangia, Vlad Niculae
2019 A conf
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms.
AISTATS
Mathieu Blondel, André F. T. Martins, Vlad Niculae
2019 J jnl
Learning with Fenchel-Young Losses.
CoRR
Mathieu Blondel, André F. T. Martins, Vlad Niculae
2019 J jnl
Notes on Latent Structure Models and SPIGOT.
CoRR
André F. T. Martins, Vlad Niculae
2019 — ed.
Proceedings of the Third Workshop on Structured Prediction for NLP@NAACL-HLT 2019, Minneapolis, Minnesota, Jun 7, 2019
SPNLP@NAACL-HLT
André F. T. Martins, Andreas Vlachos, Zornitsa Kozareva, Sujith Ravi, Gerasimos Lampouras, Vlad Niculae, Julia Kreutzer
2019 — conf
Sparse Sequence-to-Sequence Models.
ACL (1)
Ben Peters, Vlad Niculae, André F. T. Martins
2019 J jnl
Sparse Sequence-to-Sequence Models.
CoRR
Ben Peters, Vlad Niculae, André F. T. Martins
2018 — conf
Interpretable Structure Induction via Sparse Attention.
BlackboxNLP@EMNLP
Ben Peters, Vlad Niculae, André F. T. Martins
2018 J jnl
Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms.
CoRR
Mathieu Blondel, André F. T. Martins, Vlad Niculae
2018 — —
Learning Deep Models with Linguistically-Inspired Structure.
Vlad Niculae
2018 A* conf
SparseMAP: Differentiable Sparse Structured Inference.
ICML
Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie
2018 J jnl
SparseMAP: Differentiable Sparse Structured Inference.
CoRR
Vlad Niculae, André F. T. Martins, Mathieu Blondel, Claire Cardie
2018 A* conf
Towards Dynamic Computation Graphs via Sparse Latent Structure.
EMNLP
Vlad Niculae, André F. T. Martins, Claire Cardie
2018 J jnl
Towards Dynamic Computation Graphs via Sparse Latent Structure.
CoRR
Vlad Niculae, André F. T. Martins, Claire Cardie
2017 — conf
A Regularized Framework for Sparse and Structured Neural Attention.
NIPS
Vlad Niculae, Mathieu Blondel
2017 J jnl
A Regularized Framework for Sparse and Structured Neural Attention.
CoRR
Vlad Niculae, Mathieu Blondel
2017 — conf
Argument Mining with Structured SVMs and RNNs.
ACL (1)
Vlad Niculae, Joonsuk Park, Claire Cardie
2017 J jnl
Argument Mining with Structured SVMs and RNNs.
CoRR
Vlad Niculae, Joonsuk Park, Claire Cardie
2017 — conf
Multi-output Polynomial Networks and Factorization Machines.
NIPS
Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda
2017 J jnl
Multi-output Polynomial Networks and Factorization Machines.
CoRR
Mathieu Blondel, Vlad Niculae, Takuma Otsuka, Naonori Ueda
2016 — conf
Conversational Markers of Constructive Discussions.
HLT-NAACL
Vlad Niculae, Cristian Danescu-Niculescu-Mizil
2016 J jnl
Conversational Markers of Constructive Discussions.
CoRR
Vlad Niculae, Cristian Danescu-Niculescu-Mizil
2016 — conf
Cornell Belief and Sentiment System at TAC 2016.
TAC
Vlad Niculae, Kai Sun, Xilun Chen, Yao Cheng, Xinya Du, Esin Durmus, Arzoo Katiyar, Claire Cardie
2016 A* conf
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions.
WWW
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
2016 J jnl
Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions.
CoRR
Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee
2015 — conf
AMBRA: A Ranking Approach to Temporal Text Classification.
SemEval@NAACL-HLT
Marcos Zampieri, Alina Maria Ciobanu, Vlad Niculae, Liviu P. Dinu
2015 — conf
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game.
ACL (1)
Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil
2015 J jnl
Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game.
CoRR
Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil
2015 A* conf
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns.
WWW
Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec
2015 J jnl
QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns.
CoRR
Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec
2014 A* conf
Brighter than Gold: Figurative Language in User Generated Comparisons.
EMNLP
Vlad Niculae, Cristian Danescu-Niculescu-Mizil
2014 A conf
Temporal Text Ranking and Automatic Dating of Texts.
EACL
Vlad Niculae, Marcos Zampieri, Liviu P. Dinu, Alina Maria Ciobanu
2014 B conf
Using a machine learning model to assess the complexity of stress systems.
LREC
Liviu P. Dinu, Alina Maria Ciobanu, Ioana Chitoran, Vlad Niculae
2013 J jnl
API design for machine learning software: experiences from the scikit-learn project.
CoRR
Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, Gaël Varoquaux
2013 — conf
Comparison pattern matching and creative simile recognition.
JSSP
Vlad Niculae
2013 — conf
Computational considerations of comparisons and similes.
ACL (Student Research Workshop)
Vlad Niculae, Victoria Yaneva
2013 — conf
Determining is-a relationships for Textual Entailment.
JSSP
Vlad Niculae, Octavian Popescu
2013 — conf
Romanian Syllabication Using Machine Learning.
TSD
Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
2013 Misc conf
Sequence Tagging for Verb Conjugation in Romanian.
RANLP
Liviu P. Dinu, Octavia-Maria Sulea, Vlad Niculae
2013 Misc conf
Temporal Text Classification for Romanian Novels set in the Past.
RANLP
Alina Maria Ciobanu, Liviu P. Dinu, Octavia-Maria Sulea, Anca Dinu, Vlad Niculae
2013 — conf
Temporal classification for historical Romanian texts.
LaTeCH@ACL
Alina Maria Ciobanu, Anca Dinu, Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
2012 — conf
Dealing with the Grey Sheep of the Romanian Gender System, the Neuter.
COLING (Demos)
Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
2012 A conf
Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs.
EACL
Liviu Petrisor Dinu, Vlad Niculae, Octavia-Maria Sulea
2012 J jnl
String Distances for Near-duplicate Detection.
Polibits
Iulia Danaila, Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
2012 B conf
The Romanian Neuter Examined Through A Two-Gender N-Gram Classification System.
LREC
Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea
2011 Misc conf
Can Alternations Be Learned? A Machine Learning Approach To Romanian Verb Conjugation.
RANLP
Liviu Petrisor Dinu, Emil Ionescu, Vlad Niculae, Octavia-Maria Sulea