Machine Learning and Modelling Seminar

Organized jointly by the Department of Theoretical Computer Science and Mathematical Logic, Faculty of Mathemeatics and Physics of the Charles University, and by the Department of Artificial Intelligence, Institute of Computer Science of the Czech Academy of Sciences.

Organizer

Martin Holeňa
+420 266 052 921
martin@cs.cas.cz
skype martinholena

Thursday 14:00 in the lecture room S8, Malostranské náměstí 2.

We shall start the sommer semester of our seminar on Thursday February 27.

[Permanent Link]

Years

Upcoming Talks

  • Jelle Hüntelmann:

    Learning to be uncertain: Of soft labels and soft losses

    24.04.2025 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2

  • Marcel Kühn:

    Anti-Correlated Noise in Epoch-Based Stochastic Gradient Descent and its Implications

    10.04.2025 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2

  • Andreas Opedal:

    Systematic Analysis of the Arithmetic Reasoning Capabilities of LLMs

    27.03.2025 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2

  • Antoni Kowalczuk:

    Image Autoregressive Models Leak More Training Data Than Diffusion Models

    13.03.2025 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2

  • Thomas Kleine Buening:

    Strategic Interactive Decision-Making

    27.02.2025 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2

    Thomas will talk about the role of incentives in machine learning through reinforcement learning and mechanism design principles, highlighting works on contextual bandits with manipulated contexts and reinforcement learning from human feedback with strategic preferences.

Recent Talks

  • Peter Blohm:

    Probably Approximately Global Robustness Certification

    19.12.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Vlad Yorsh:

    Structured state-space neural-network models

    05.12.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Jonas Hübotter:

    Transductive Active Learning for Fine-Tuning Large (Language) Models

    21.11.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Krzysztof Kacprzyk:

    AI4Science: Discovering Governing Equations and Beyond

    07.11.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Ondřej Tichý:

    Bayesian regression and its application to atmospheric emissions estimation

    10.10.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Pierre Nicolay:

    Kinematic-aware Neural Network for Dynamics Modeling

    23.05.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Balint Gyevnar:

    How do we make explainable AI work for people?

    25.04.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Alex Goodall:

    Theory and Applications of Approximate Model-based Shielding for Safe Reinforcement Learning

    11.04.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Simon Rittel:

    Bayesian causal structure learning

    28.03.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Oliver Sutton:

    Can adversarial robustness be certified for classifiers learning high dimensional data?

    14.03.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Michal Znależniak:

    Contrastive hierarchical clustering

    29.02.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2
  • Tomáš Pevný:

    Tractable probabilistic models for hierarchical data

    29.02.2024 14:00Lecture room 8, Faculty of Mathematics and Physics, Malostranské náměstí 2