Miltiadis Allamanis -

Registered user since Fri 15 Sep 2017

Name:Miltiadis Allamanis

Bio:

I research deep learning methods for structured data, focusing on real-life applications and often to source code.

Country:United Kingdom

Affiliation:Microsoft Research

Personal website:https://miltos.allamanis.com

Twitter:https://twitter.com/miltos1

GitHub:https://github.com/mallamanis

Research interests:Machine Learning, Deep Learning

Contributions

MSR 2023	Author of MIP #1: Mining Source Code Repositories at Massive Scale Using Language Modeling within the MIP Award-track
SPLASH 2022	Author of Overwatch: Learning Patterns in Code Edit Sequences within the OOPSLA-track
ESEC/FSE 2022	Author of Flexeme: Untangling Commits Using Lexical Flows within the ESEC/FSE 2020-track
ASA 2022	Author of Black Box Static Analyses with Deep Learning within the ASA 2022-track
‹Programming› 2022	External Reviewer in Research Papers within the Research Papers-track
ESEC/FSE 2021	Industry Co-Chair in Organizing Committee Co-chair in Program Committee within the Industry Papers-track
ICSE 2021	Author of CODIT: Code Editing with Tree-Based Neural Models within the Journal-First Papers-track
MSR 2021	Author of Welcome by the Mining Challenge Co-chairs within the Mining Challenge-track Mining Challenge Co-Chair in Organizing Committee Mining Challenge Co-Chair in Mining Challenge Committee within the Mining Challenge-track Session Chair of Mining Challenge Session (part of Technical Papers) Author of Fast and Memory-Efficient Neural Code Completion within the Technical Papers-track
ESEC/FSE 2020	Author of Flexeme: Untangling Commits Using Lexical Flows within the Research Papers-track Committee Member in Program Committee within the Visions and Reflections -track
MSR 2020	Ordinary PC member in Program Committee within the Technical Papers-track Committee Member in Program Committee within the Data Showcase-track Panelist of ML4SE AMA within the Ask Me Anything-track
PLDI 2020	Author of Typilus: Neural Type Hints within the PLDI Research Papers-track
ASE 2019	Author of DIRE: A Neural Approach to Decompiled Identifier Renaming within the Research Papers-track
SPLASH 2019	Author of The Adverse Effects of Code Duplication in Machine Learning Models of Code within the Onward! Papers-track Invited Speaker of Machine Learning for Program Analysis within the Rebase-track
VMCAI 2019	Committee Member in Program Committee within the VMCAI 2019-track
ESEC/FSE 2018	Author of Mining Semantic Loop Idioms within the Journal-First-track Author of RefiNym: Using Names to Refine Types within the Research Papers-track Author of Deep Learning Type Inference within the Research Papers-track
ML4PL 2018	Committee Member in Program Committee within the ML4PL-track
PLDI 2018	Committee Member in External Review Committee
ML4PL 2015	Author of Inferring Coding Conventions with Machine Learning within the ML4PL-track