Events - Page 2

Optimizing decision-making for long-term outcomes without delay

A Critical Response to Claims of Artificial Intuition

Data thinning and beyond

Topic: The concept of "space folding" in relation to neural networks.

On space folding by neural networks

Reasoning under uncertainty with subjective logic

What do we mean when we use those concepts?

Inverse Inverse Reinforcement Learning

A dual challenge of epistemic justification and political legitimacy

Efficient Likelihood-free Monte Carlo Sampling for Generalized Bayesian Inference Using Probabilistic Surrogate Loss

Integreat researchers present how they use AI for coding and reasearch.

Welcome to another edition of our popular Women in AI events: this time, centered around the challenges and opportunities that comes with living in the AI era.

Simulation-based model selection for causal effect estimation

Reading Duede, Eamon. "Instruments, agents, and artificial intelligence: novel epistemic categories of reliability." Synthese 200, no. 6 (2022): 491.

Shaping GNNs with dynamical systems

This event brings together researchers, students, and practitioners interested in graph machine learning, graph neural networks, and related topics.

Using formal verification for text-to-SQL

Generalised mixed effects models for changepoint analysis of biomedical time series

Approaching a major conference deadline can be intense. To support one another during the ICML submission phase, the Inegreat team is hosting a collaborative proofreading and feedback session.

High dimensional regression methods for inhomogeneous Poisson processes via split-variational inference

Causal inference in high-dimensional exploratory experiments