Date | Journal club leader | Paper (or Topic) | Note |
---|---|---|---|
26.01 | Eric | Feature-based molecular networking in the GNPS analysis environment | - |
02.02 | Tianduanyi | Prediction of drug combination effects with a minimal set of experiments | - |
09.02 | Minna | Comprehensive prediction of secondary metabolite structure and biological activity from microbial genome sequences | - |
16.02 | Juho | Fast differentiable sorting and ranking. In International Conference on Machine Learning | - |
23.02 | Sandor | The influence of the theory of computation on learning | - |
02.03 | Riikka | A Convex Parametrization of a New Class of Universal Kernel Functions | - |
09.03 | Maryam | Deep reinforcement learning for the control of microbial co-cultures in bioreactors | - |
16.03 | Eric | Research update presentation: Structured Support Vector Machines for LC-MS2 data processing | - |
23.03 | Tianduanyi | Drug combination prediction: current project and future perspectives | - |
30.03 | Ankita | FIMM Rotation Project Presentation | - |
06.04 | Juho | Presentation on Result Visualisation in Papers | - |
13.04 | Minna | Final Master's thesis presentation | - |
20.04 | Sandor | - | |
27.04 | Riikka | - | |
04.05 | Maryam | Multi-Agent Determinantal Q-Learning | - |
11.05 | Eric | - | |
18.05 | Tianduanyi | - | |
25.05 | Taneli | Presentation about his PhD work | - |
01.06 | Sandor | - |
Date | Journal club leader | Paper (or Topic) | Note |
---|---|---|---|
18.08 | Riikka | Partial trace regression and low-rank Kraus decomposition | - |
25.08 | Wen | Summary of the work as summer intern | - |
04.09 | Eric | Kernels for Sequentially Ordered Data | - |
11.09 | Maryam | Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning | - |
18.09 | Tianduanyi | Review on the drug combination tensor learning project | - |
25.09 | Amir | Safe Model-based Reinforcement Learning with Stability Guarantees | - |
02.10 | Juho | Ion mobility collision cross-section atlas for known and unknown metabolite annotation in untargeted metabolomics | - |
09.10 | Sandor | Kernels on Direct Sum of Vector Spaces | - |
16.10 | Riikka | Duality in RKHSs with Infinite Dimensional Outputs: Application to Robust Losses | - |
23.10 | Maryam | skipped | - |
30.10 | Eric | In Silico Optimization of Mass Spectrometry Fragmentation Strategies in Metabolomics | - |
06.11 | Tianduanyi | Research project presentation. | - |
13.11 | - | - | |
20.11 | Amir | Algorithms for CVaR Optimization in MDPs | - |
27.11 | Lisa | Final presentation of her research project: Time-series Analysis for Metabolomics | - |
04.12 | Sandor | Presentation: "Optimization as Dynamic Process" (based on this and this paper) | - |
11.12 | Riikka | - | |
18.12 | Maryam | Shared Experience Actor-Critic forMulti-Agent Reinforcement Learning | - |
Date | Journal club leader | Paper (or Topic) | Note |
---|---|---|---|
21.01 | Maryam | Towards a fully automated algorithm drivenplatform for biosystems design | - |
28.01 | Riikka | Cross-view kernel transfer | - |
04.02 | Viivi | To Understand Deep Learning We Need To Understand Kernel Learning | - |
11.02 | Sandor | Presentation: Learning with Manifolds | - |
18.02 | Eric | Presentation: MS2 and RT score integration | - |
25.02 | Tianduanyi | Research project presentation | - |
03.03 | Juho | - | Canceled |
10.03 | Sandor | - | Canceled |
17.03 | Maryam | - | Canceled |
24.03 | Riikka | - | Canceled |
31.03 | Sandor | Presentation: Autoencoder and Bottlenecks | - |
07.04 | Juho | A consistent regularization approach for structured prediction | - |
14.04 | Maryam | Presentation: Reinforcement Learning for Biosystems Design | - |
21.04 | Riikka | Interpretable genotype-to-phenotype classifiers with performance guarantees | - |
28.04 | Viivi | Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction | - |
05.05 | Eric | Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks | - |
12.05 | Tianduanyi | - | |
19.05 | Sandor | Presentation: Learning Class Relations - Projection Operator Kernel | - |
26.05 | Juho | Presentation: Towards Linear Work Multi-output Kernel Machines | - |
from 05.06 | - | Only weekly updates |
Date | Journal club leader | Paper (or Topic) | Note |
---|---|---|---|
13.08 | Juho | Brouard et al. Improved Small Molecule Identification through Learning Combinations of Kernel Regression Models. Metabolites, 9(8), p.160. | - |
20.08 | Jane & Aker | Summer project presentation | - |
27.08 | Luc & Antoine | Summer project presentation | Room: A346 |
03.09 | No KEPACOffee | - | |
10.09 | Maryam | Presentation: Metabolite Network Fine-tuning using Reinforcement Learning | - |
17.09 | Sandor | Presentation: Factorization Machines | - |
24.09 | Eric | Presentation: Probabilistic Framework for Tandem Mass Spectrometry and Retention Time Data Fusion for Metabolite Identification (Summary of research done in Glasgow) | - |
01.10 | Kai | Presentation: Judging the book by it's cover: Dereplicating similar compounds with tandem mass spectrometry | - |
08.10 | Tianduanyi | - | |
15.10 | Viivi | Memory Efficient Kernel Approximation | - |
22.10 | Juho | Distribution-free uncertainty quantification for kernel methods by gradient perturbations | - |
29.10 | Sandor | Differentiable Game Mechanics | - |
05.11 | Eric | Understanding and correcting pathologies in the training of learned optimizers | - |
12.11 | Maryam | Presentation: Metabolite Network Fine-tuning using Reinforcement Learning (an update) | - |
19.11 | Viivi | Towards Practical Alternating Least-Squares for CCA | - |
26.11 | - | AI DAY | |
03.12 | Tianduanyi | - | |
10.12 | Kai | Presentation: Classes from Masses | - |
17.12 | Juho | Large-Scale Sparse Kernel Canonical Correlation Analysis | - |
Date | Journal club leader | Paper (or Topic) | Note |
---|---|---|---|
23.01 | Tolou | Tensor Canonical Correlation Analysis for Multi-View Dimension Reduction | - |
30.01 | Anna | IDG-DREAM Drug-Kinase Binding Prediction Challenge: an update | - |
06.02 | Sandor | Presentation: Factorization Machines | - |
13.02 | Markus | Presentation: Spectral Kernels | - |
20.02 | Tianduanyi | Presentation: Kernel-based Machine Learning Methods for Drug-Target Interaction Prediction | - |
27.02 | Rohit | Presentation: Robustness and Extreme Multi-label Classification | - |
06.03 | Heli | Master's Thesis Presentation | - |
13.03 | Eric | Accelerating Metabolite Identification in Natural Product Research | - |
20.03 | Vilma | The re-emergence of natural products for drug discovery in the genomics era | - |
27.03 | Maryam | Presentation: Genetic Interventions using Reinforcement Learning | - |
03.04 | Viivi | A Linear-Time Kernel Goodness-of-Fit Test | - |
10.04 | Tolou | Master's Thesis Presentation | - |
17.04 | Sandor | A Theory of Learning with Corrupted Labels | - |
24.04 | Markus | - | - |
01.05 | NO MEETING | NO MEETING | Public Holiday: Vappu |
08.05 | Maryam | Presentation: Research project updates | - |
15.05 | Eric | Presentation: Retention Order Prediction using Multiple Kernel Learning | - |
22.05 | Vilma | Master's Thesis Presentation | - |
29.05 | - | - | Only weekly updates! |
05.06 | Viivi | ICML poster pitch rehearsal | - |
12.06 | Heli | Presentation: Predictive modeling of anticancer efficacy of drug combinations using factorization machines | - |
19.06 | Anna | Results of the IDG-DREAM Drug-Kinase Binding Prediction Challenge | - |
26.06 | Tianduanyi | - | - |
Date | Journal club leader | Topic | Note |
---|---|---|---|
16.08 | Sandor | - | - |
23.08 | Antoine | Presentation: Metabolite Identification | - |
30.08 | Celine | The weighted Kendall and high-order kernels for permutations. (ICML) | - |
06.09 | Markus | - | - |
13.09 | Maryam | - | - |
20.09 | Viivi | An Adaptive Test of Independence with Analytic Kernel Embeddings | room change to A346 |
27.09 | Parisa | KONG: Kernels for ordered-neighborhood graphs | - |
04.10 | NO MEETING | - | CS-Forum held by Anna's opponent |
11.10 | NO MEETING | - | CS Research Day from 12-15 |
18.10 | Heli | Factorization Machines, Higher-Order Factorization Machines | - |
25.10 | Vilma | Presentation: Tandem mass spectra (MS2) to bio-activity prediction | - |
01.11 | Sandor | Infinite-Task Learning with RKHSs | - |
08.11 | Markus | Presenation: Stein Gradient Descent | - |
15.11 | Maryam | e-PAL: An Active Learning Approach to the Multi-Objective Optimization Problem | - |
22.11 | Anna | Presenation: Dream Challenge | - |
29.11 | Viivi | Stochastic Approximation for Canonical Correlation Analysis | - |
06.12 | NO MEETING | - | Independence day |
13.12 | Eric | Sparse Learning over Infinite Subgraph Features | - |
20.12 | NO MEETING | - | - |
Date | Leader | Event-type | Content |
---|---|---|---|
25.01 | Zheyang | Presentation | |
01.02 | Sandor | Journal Club, Presentation, ... | |
08.02 | Eric | Journal Club, Presentation, ... | |
15.02 | Celine | Journal Club, Presentation, ... | |
22.02 | Tolou | Presentation | |
01.03 | Anna | Journal Club, Presentation, ... | |
08.03 | -- No meeting -- | Women in Data Science conference | |
15.03 | Parisa | Journal Club, Presentation, ... | |
22.03 | Viivi | Journal Club, Presentation, ... | |
29.03 | Markus | Journal Club, Presentation, ... | |
05.04 | Sandor | Journal Club, Presentation, ... | |
12.04 | Juho | Journal Club, Presentation, ... | |
19.04 | Viivi | Journal Club, Presentation, ... | |
26.04 | Eric | Journal Club, Presentation, ... | |
03.05 | Heli | Presentation | |
10.05 | -- No meeting -- | -- Ascension day! -- | |
17.05 | Parisa | Journal Club, Presentation, ... | |
24.05 | Markus | Journal Club, Presentation, ... | |
31.05 | Fabio | Presentation | |
07.06 | Sandor | Journal Club, Presentation, ... | |
14.06 | -- No meeting -- | Aalto ceremony week | |
21.06 | -- No meeting -- | Eve of midsummer eve | |
28.06 | -- No meeting -- | KEPACO Summer retreat |
Date | Leader | Event-type | Content |
---|---|---|---|
25.08 | Juho | Journal-club | Structured Prediction Theory Based on Factor Graph Complexity |
01.09 | Viivi | Presentation | Canonical Correlation Methods |
08.09 | Eric | Journal-club | Stochastic Structured Prediction under Bandit Feedback |
15.09 | Sandor | Journal-club | Kernel functions based on triplet similarity comparisons |
22.09 | Tolou | Presentation | Summary of the summer-research |
29.09 | Heli | Journal-club | Multiple kernel learning with hybrid kernel alignment maximization |
13.10 | Celine | Presentation | Transfer Learning for Metabolite Identification |
20.10 | Markus | Journal-Club | |
27.10 | Sandor | Presentation | Relational Learning |
03.11 | Eric | Presentation | Ranking Support Vector Machine |
10.11 | Viivi | Journal-Club | Sparse kernel canonical correlation analysis for discovery of nonlinear interactions in high-dimensional data |
17.11 | Tolou | Journal-Club | |
24.11 | Anna | Presentation | Drug Target Interaction |
01.12 | Parisa | Presentation | |
08.12 | Celine | Journal-Club | EasyMKL: a scalable multiple kernel learning algorithm |
15.12 | Markus | Presentation | NIPS Overview |
Date | "Pulla" responsible | Reading group paper | |
---|---|---|---|
4.6. | Juho | Kadri et al.:A Generalized Kernel Approach to Structured Output Learning ,ICML 2013 | |
11.6. | Elena | Integrated Module and Gene-Specific Regulatory Inference Implicates Upstream Signaling Networks, PLOS Computational Biology | |
19.6. | Su | Learning structured models with AUC loss and its generalisations AISTATS 2014 | |
25.6. | Celine | Multi-label Classification via Feature-aware Implicit Label Space Encoding, ICML 2014 | |
2.7. | Anna | A community effort to assess and improve drug sensitivity prediction algorithms, Nature Biotechnology 2014 | |
9.7. | Summer break | paper | |
16.7 | Summer break | paper | |
23.7 | Summer break | paper | |
30.7 | Summer break | paper | |
6.8 | Jana | paper | |
13.8 | Clemens | paper | |
20.8 | Maja | Beyond L2-Loss Functions for Learning Sparse Models (Clemens) | |
27.8 | Jinmin (note: Jinmin's presentation is given in the summer intern seminar from 13-14) | A Divide-and-Conquer Solver for Kernel Support Vector Machines (Juho) |
Date | "Pulla" responsible | Presentation |
---|---|---|
23.8 | Juho | Xu, Huan, Constantine Caramanis, and Shie Mannor. "Sparse algorithms are not stable: A no-free-lunch theorem." Pattern Analysis and Machine Intelligence, IEEE Transactions on 34, no. 1 (2012): 187-193. |
30.8 | Jian | |
6.9 | Jana | |
13.9 | Elena | |
20.9 | No meeting | (ICS Department get-together) |
27.9 | No meeting | (ICS Recreation Day) |
4.10 | Jefrey | |
11.10 | Su | |
18.10 | No meeting | (ICS Department get-together) |
25.10 | No meeting | (Juho abroad) |
1.11 | Anna | |
8.11 | Nicole | |
15.11 | No meeting | (ICS Department get-together) |
22.11 | Huibin | |
29.11 | Viivi | |
6.12 | No meeting | (Finnish independence day) |
13.12 | Juho | |
20.12 | No meeting | (ICS department get-together) |