Organizers:
Emma Gerritse, Zhuoran Liu
Time:
Friday morning, 11:00 — 11:30
Location:
BigBlueButton (The red sofas in wing 5, floor 2)
Concept:
The general idea is to have weekly informal presentations about ongoing work, unsolved problems, or interesting papers. There will be no projector, only a whiteboard, and the talk should last at most 30 minutes.

Schedule

Date Time Speaker Title
No upcoming events.

Past Events

Date Time Speaker Title
10/06/2022 11:00 Nik Vaessen and Gijs van Tulder Working with the data science GPU cluster
03/06/2022 11:00 Gijs Schröder (Working towards) modeling 400 trillion T-cells using finite state automata
19/11/2021 11:00 Ivan Veul The Facebook Files – A Controversy about Decision-Making
25/06/2021 11:00 Hideaki Joko Conversational Search with Text-To-Text Transfer Transformer
11/06/2021 11:00 Franka Buytenhuijs Identification and Characterization of Differences between T Cell Subtypes Using Artificial Neural Networks
28/05/2021 11:00 Chris Kamphuis Supporting Interoperability Between Open-Source Search Engines with the Common Index File Format
30/04/2021 11:00 Zaheer Babar Using traditional image captioning pipeline for the medical report generation task:An overview of the core challenges
16/04/2021 11:00 Gijs van Tulder An eco-label for your algorithms
19/03/2021 11:00 Yao Tong Similarity of Neural Network Representations Revisited
05/03/2021 11:00 Alex Kolmus MADE: Masked Autoencoder for Distribution Estimation
19/02/2021 11:00 Roel Bouman Outlier Detection using Isolation Forests
05/02/2021 11:00 Zhuoran Liu Advances in data poisoning attacks and how could it help in privacy protection
22/01/2021 11:00 Martha Larson A Few Words on Words: Pragmatic Implication (and the US Capitol Attack)
11/12/2020 11:00 Mirthe van Diepen The Hardness of Conditional Independence Testing and the Generalised Covariance Measure
20/11/2020 11:00 M. Alex O. Vasilescu CausalX: The Right to Causal eXplanations with Tensor Factor Analysis
13/11/2020 11:00 Gabriel Bucur Interpreting the Predictions of Machine Learning Models using Shapley Values
06/11/2020 11:00 Koen Dercksen Transformers, roll out!
30/10/2020 11:00 Shabaz Sultan High Performance Simulation Environment for Large Scale Dense Cellular Dynamics
02/10/2020 11:00 Nicole Dalia Cilia Using Handwriting Features to Characterize Cognitive Impairment
15/05/2020 11:00 Zhengyu Zhao Evaluation methodology on white-box adversarial defenses
01/05/2020 11:00 Twan van Laarhoven Conservative Uncertainty Estimation By Fitting Prior Networks
13/03/2020 11:00 Konrad Philipp Mielke Causal Discovery in Large Spatio-Temporal Systems
28/02/2020 11:00 Thomas Schoegje Designing task-based search
31/01/2020 11:00 Djoerd Hiemstra Features of Modern Reusable Language Models
15/02/2019 11:00 Thanh Tran and Siem Heisterkamp Recent developments in bias reduction in random forests
08/02/2019 11:00 Cristopher Strucks Zero-shot learning with hyperspectral data
11/01/2019 11:00 Tom van Grootel Implications of being data-driven for a local government
18/05/2018 11:00 Emma Gerritse Network Deconvolution
04/05/2018 11:00 Jesse Krijthe Causal Forests
06/04/2018 11:00 Twan van Laarhoven Autoencoders for density modeling
23/03/2018 11:00 Gabriel Bucur Invariant Causal Prediction
16/03/2018 11:00 Thanh Tran Isolation forests for anomaly detection and the observation in Random Forest
09/03/2018 11:00 David van Leeuwen Julia, a programming language for numerical computing
02/03/2018 11:00 Tom Heskes Adversarial networks for fair machine learning and domain adaptation
23/02/2018 11:00 Gido Schoenmacker Get rich quick: automatic Bitcoin trading
16/02/2018 11:00 Tom Claassen Recycling feedback on non-recursive models: from going round in circles to exiting the loop.
09/02/2018 11:00 Luc Evers Sensor-based monitoring of Parkinson's disease: how to develop algorithms with ecological validity?
12/01/2018 11:00 Wytze Korstanje Improving Sales Forecasting at Corbion
15/12/2017 11:00 Arjen de Vries Research Data Management
01/12/2017 11:00 Jesse Krijthe Inconsistency of Bayesian Inference for Misspecified Linear Models, and a Proposal for Repairing It
03/11/2017 11:00 Zaheer Babar Systematic Attribute Sub-spacing in Decision Forest
27/10/2017 11:00 Feri Wijayanto Finding ways to optimize Rasch model automatically
20/10/2017 11:00 Simone Lederer Working in the works council: Hot topics and Questions?
13/10/2017 11:00 Nastaran Mohammadian Rad How Can We Transfer the Knowledge from a Big Ensemble Model into a Single Smaller One?
29/09/2017 11:00 Thanh Tran Discussion on the permutation variable importance in Random forests in industrial applications and the approaches for high dimension low sample size data with corelated variables
15/09/2017 11:00 Twan van Laarhoven A Simple Domain Adaptation Method, but Why Does it Work?
08/09/2017 11:00 Ruifei Cui Constraint-based causal discovery from incomplete data
07/07/2017 11:00 Yuliya Shapovalova Volatility spillovers with multivariate stochastic volatility models
23/06/2017 11:00 Gabriel Bucur Lord's Paradox
16/06/2017 11:00 Johannes Textor Hypergraph clustering
09/06/2017 11:00 Henning Basold On Automated Learning of Game Semantics
02/06/2017 11:00 Arjen de Vries IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
19/05/2017 11:00 Jesse Krijthe Markov Chain Monte Carlo and Variational Inference: Bridging the Gap
12/05/2017 11:00 Gido Schoenmacker On Variance Explained in Genetic Risk
07/04/2017 11:00 Ruifei Cui Missing values: mechanisms and techniques
31/03/2017 11:00 Luc Evers Challenges in using big data for personalized care for people with Parkinson's disease
10/03/2017 11:00 Perry Groot interesting integeral
03/03/2017 11:00 Gabriel Bucur Harnessing naturally randomized transcription to infer regulatory relationships among genes
24/02/2017 11:00 Niklas Weber Unsupervised Learning in Human Activity Recognition: A First Foray into Clustering Data Gathered from Wearable Sensors
27/01/2017 11:00 Jacopo Acquarelli See with the eyes of a neural network
13/01/2017 11:00 Elena Marchiori Domain Adaptation
16/12/2016 11:00 Arjen de Vries Keyword Search and IR Tasks on Top of Relational Engines: Why and How
09/12/2016 11:00 Johannes Textor Self-Nonself Discrimination
02/12/2016 11:00 Tom Heskes One-shot learning
18/11/2016 11:00 Perry Groot Probablity of X
04/11/2016 11:00 Gabriel Bucur "Why should I trust you?" Explaining the Predictions of any classifier
28/10/2016 11:00 Gido Schoenmacker Detecting independent LD blocks in the human genome
21/10/2016 11:00 Ridho Rahmadi Stable Specification Search in Acyclic Directed Mixed Graph
14/10/2016 11:00 Simone Lederer The application of Mixed Integer Linear Programming in Bioinformatics
07/10/2016 11:00 Twan van Laarhoven AlphaGo: How google mastered the game of Go with deep neural networks and tree search
16/09/2016 11:00 Ruifei Cui Copula PC algorithm for causal discovery from mixed data
09/09/2016 11:00 Suzan Verberne Curiosities of inter-rater agreement
02/09/2016 11:00 Jacopo Acquarelli The asymptotics of group russian roulette
28/06/2016 11:00 Tom Claassen A framework to learn causal relations from a truckload of mice
21/06/2016 11:00 Tom Heskes Differential Privacy and Machine Learning
07/06/2016 11:00 Maryam Khamis Sustainability of e-Government in Low Infrastructure Situation - Case Study Zanzibar
24/05/2016 11:00 Twan van Laarhoven Deep neural networks: batch normalization, residual networks and regularization
17/05/2016 11:00 Perry Groot Inequalities on the probability of logical functions of event
10/05/2016 11:00 Ridho Rahmadi Writing an R package and getting it released at CRAN
03/05/2016 11:00 Gabriel Bucur Causal Feature Learning (on Micro level Climate Data)
19/04/2016 11:00 Arjen de Vries Counting fish
12/04/2016 11:00 Camille Escher Analyzing the temporal dependencies of sub-events in video sequences with an AND/OR Graph structural learning
05/04/2016 11:00 Marieke de Vries Understanding and supporting the human decision maker in the era of information overload
29/03/2016 11:00 Simone Lederer AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge - experiences and method applied to predict synergy scores
15/03/2016 11:00 Fabian Gieseke Supernove detection with deep learning
01/03/2016 11:00 Jacopo Acquarelli Feature selection for SVM with RBF kernel, applied to gene expression data
23/02/2016 11:00 Suzan Verberne Using human-labelled data for supervised learning: what if the humans do not agree at all?
09/02/2016 11:00 Elena Sokolova Similarity metrics in Neighbour -based recommender systems
02/02/2016 11:00 Niklas Weber research internship at the Donders Institute
26/01/2016 11:00 Tom Claassen Handling unfaithfulness in your relations: the need for external arbitration
19/01/2016 11:00 Tom Heskes Discrimination-aware machine learning
15/12/2015 11:00 Mohsen Ghafoorian Are there tricks to make the segmenting convolutional neural nets hundreds times faster?
08/12/2015 11:00 Johannes Textor Search in the immune system
01/12/2015 11:00 Gido Schoenmacker Competing infinities, or why a drunk starship captain will never make it home
24/11/2015 11:00 Perry Groot Kernel Interpolation for Scalable Structured Gaussian Processes
17/11/2015 11:00 Twan van Laarhoven A Bayesian model for graph clustering
10/11/2015 11:00 Bram Arends Maps of random walks on complex networks reveal community structure
03/11/2015 11:00 Tameem Adel On the Assumptions of Domain Adaptation
27/10/2015 11:00 Suzan Verberne QUINN: query updates for news monitoring
20/10/2015 11:00 Ridho Rahmadi Estimating Causal Effects (from Observational Data) Using IDA
13/10/2015 11:00 Max Hinne Predicting connectomes using a latent space model
06/10/2015 11:00 Jacopo Acquarelli Semi-supervised learning with Ladder Network