Text Mining and Qualitative Analysis of an IT History Interview Collection. - Petri Paju; Eric Malmi; Timo Honkela (History of Nordic Computing, 2010)

Identifying Anomalous Social Contexts from Mobile Proximity Data Using Binomial Mixture Models. - Eric Malmi; Juha Raitio; Oskar Kohonen; Krista Lagus; Timo Honkela (IDA, 2012)

Semi-supervised detection of collective anomalies with an application in high energy particle physics. - Tommi Vatanen; Mikael Kuusela; Eric Malmi; Tapani Raiko; Timo Aaltonen; Yoshikazu Nagai (IJCNN, 2012)

Checking in or checked in: comparing large-scale manual and automatic location disclosure patterns. - Eric Malmi; Trinh Minh Tri Do; Daniel Gatica-Perez (MUM, 2012)

From Foursquare to My Square: Learning Check-in Behavior from Multiple Sources. - Eric Malmi; Trinh Minh Tri Do; Daniel Gatica-Perez (ICWSM, 2013)

Quality matters: usage-based app popularity prediction. - Eric Malmi (UbiComp Adjunct, 2014)

The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty. - Eric Malmi; Arno Solin; Aristides Gionis (ECML/PKDD (2), 2015)

Beyond rankings: comparing directed acyclic graphs. - Eric Malmi; Nikolaj Tatti; Aristides Gionis (Data Min. Knowl. Discov., 2015)

You Are What Apps You Use: Demographic Prediction Based on User's Apps. - Eric Malmi; Ingmar Weber (ICWSM, 2016)

DopeLearning: A Computational Approach to Rap Lyrics Generation. - Eric Malmi; Pyry Takala; Hannu Toivonen; Tapani Raiko; Aristides Gionis (KDD, 2016)

Domain Adaptation for Resume Classification Using Convolutional Neural Networks. - Luiza Sayfullina; Eric Malmi; Yiping Liao; Alexander Jung (AIST, 2017)

Active Network Alignment: A Matching-Based Approach. - Eric Malmi; Aristides Gionis; Evimaria Terzi (CIKM, 2017)

Redundancy Localization for the Conversationalization of Unstructured Responses. - Sebastian Krause; Mikhail Kozhevnikov; Eric Malmi; Daniele Pighin (SIGDIAL Conference, 2017)

AncestryAI: A Tool for Exploring Computationally Inferred Family Trees. - Eric Malmi; Marko Rasa; Aristides Gionis (WWW (Companion Volume), 2017)

Lagrangian relaxations for multiple network alignment. - Eric Malmi; Sanjay Chawla; Aristides Gionis (Data Min. Knowl. Discov., 2017)

Learning Representations for Soft Skill Matching. - Luiza Sayfullina; Eric Malmi; Juho Kannala (AIST, 2018)

Automatic Prediction of Discourse Connectives. - Eric Malmi; Daniele Pighin; Sebastian Krause; Mikhail Kozhevnikov (LREC, 2018)

Computationally Inferred Genealogical Networks Uncover Long-Term Trends in Assortative Mating. - Eric Malmi; Aristides Gionis; Arno Solin (WWW, 2018)

Collective Entity Resolution Methods for Network Inference (Kollektiivisia tietueiden linkitysmenetelmiä verkostojen päättelyyn). - Eric Malmi (2018)

Encode, Tag, Realize: High-Precision Text Editing. - Eric Malmi; Sebastian Krause; Sascha Rothe; Daniil Mirylenka; Aliaksei Severyn (EMNLP/IJCNLP (1), 2019)

DiscoFuse: A Large-Scale Dataset for Discourse-Based Sentence Fusion. - Mor Geva; Eric Malmi; Idan Szpektor; Jonathan Berant (NAACL-HLT (1), 2019)

Responsible team players wanted: an analysis of soft skill requirements in job advertisements. - Federica Calanca; Luiza Sayfullina; Lara Minkus; Claudia Wagner 001; Eric Malmi (EPJ Data Sci., 2019)

Semantically Driven Sentence Fusion: Modeling and Evaluation. - Eyal Ben-David; Orgad Keller; Eric Malmi; Idan Szpektor; Roi Reichart (EMNLP (Findings), 2020)

FELIX: Flexible Text Editing Through Tagging and Insertion. - Jonathan Mallinson; Aliaksei Severyn; Eric Malmi; Guillermo Garrido (EMNLP (Findings), 2020)

Unsupervised Text Style Transfer with Padded Masked Language Models. - Eric Malmi; Aliaksei Severyn; Sascha Rothe (EMNLP (1), 2020)

Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders. - Nikola I. Nikolov; Eric Malmi; Curtis G. Northcutt; Loreto Parisi (INLG, 2020)

Conditional Rap Lyrics Generation with Denoising Autoencoders. - Nikola I. Nikolov; Eric Malmi; Curtis G. Northcutt; Loreto Parisi (CoRR, 2020)

A Simple Recipe for Multilingual Grammatical Error Correction. - Sascha Rothe; Jonathan Mallinson; Eric Malmi; Sebastian Krause; Aliaksei Severyn (ACL/IJCNLP (2), 2021)

Controlled Text Generation as Continuous Optimization with Multiple Constraints. - Sachin Kumar 009; Eric Malmi; Aliaksei Severyn; Yulia Tsvetkov (NeurIPS, 2021)

EdiT5: Semi-Autoregressive Text Editing with T5 Warm-Start. - Jonathan Mallinson; Jakub Adámek; Eric Malmi; Aliaksei Severyn (EMNLP (Findings), 2022)

Text Generation with Text-Editing Models. - Eric Malmi; Yue Dong 002; Jonathan Mallinson; Aleksandr Chuklin; Jakub Adámek; Daniil Mirylenka; Felix Stahlberg; Sebastian Krause; Shankar Kumar; Aliaksei Severyn (CoRR, 2022)

Teaching Small Language Models to Reason. - Lucie Charlotte Magister; Jonathan Mallinson; Jakub Adámek; Eric Malmi; Aliaksei Severyn (ACL (2), 2023)

Fast Text Generation with Text-Editing Models. - Eric Malmi; Yue Dong 002; Jonathan Mallinson; Aleksandr Chuklin; Jakub Adámek; Daniil Mirylenka; Felix Stahlberg; Sebastian Krause; Shankar Kumar; Aliaksei Severyn (KDD, 2023)

Small Language Models Improve Giants by Rewriting Their Outputs. - Giorgos Vernikos; Arthur Brazinskas; Jakub Adámek; Jonathan Mallinson; Aliaksei Severyn; Eric Malmi (EACL (1), 2024)

Promotion of Scientific Publications on ArXiv and X Is on the Rise and Impacts Citations. - Chhandak Bagchi; Eric Malmi; Przemyslaw A. Grabowicz (CoRR, 2024)

West-of-N: Synthetic Preference Generation for Improved Reward Modeling. - Alizée Pace; Jonathan Mallinson; Eric Malmi; Sebastian Krause; Aliaksei Severyn (CoRR, 2024)

Mastering Board Games by External and Internal Planning with Language Models. - John Schultz; Jakub Adámek; Matej Jusup; Marc Lanctot; Michael Kaisers; Sarah Perrin; Daniel Hennes; Jeremy Shar; Cannada Lewis; Anian Ruoss; Tom Zahavy; Petar Velickovic; et al. (CoRR, 2024)

Effects of Research Paper Promotion via ArXiv and X. - Chhandak Bagchi; Eric Malmi; Przemyslaw A. Grabowicz (ICWSM, 2025)