Causality to get Population Health Sciences Right
The goals of the symposium are to create a space to network and meet researchers working in the field of causal inference in Switzerland, to have the opportunity to discuss the work of young researchers and to meet Jay Kaufmann visiting from McGill University. Confirmed participants: Jay Kaufman (Department of Epidemiology, McGill University) Arnaud Chiolero […]
Biological Evolution Across Scales: Mathematical modelling and statistical inference
A 5-day interdisciplinary workshop addressing mathematical modelling, statistical inference and computational approaches in biological evolution. We aim to provide a collaborative environment and to foster informal discussions and dialogue between different communities. The program will include four thematic blocks: Probabilistic models, Structures and interactions, Inference, and Sequence data. Each block will include one keynote talk and invited talks, and […]
Discrete Random Structures
This workshop brings together experts in combinatorics, probability theory, statistics, information theory, and computational topology sharing a common interest: graphs. Key forms of discrete-valued data, graphs extend to flexible and complex generalisations, such as hypergraphs and simplicial complexes. Their study requires a multidisciplinary arsenal of tools from the aforementioned disciplines. This rich area of research […]
Workshop on « Algorithms with predictions” also known as « Learning-augmented algorithms”
Algorithms with predictions, also known as learning-augmented algorithms, is an emerging field of research at the intersection of theoretical computer science and machine-learning. It looks to address the following question: How to use imperfect predictions in a robust way – retaining worst-case guarantees of classic algorithms – yet achieve optimal performance when the predictions are accurate? […]
Sublinear Algorithms
The goal of the workshop is to bring together top experts in sublinear algorithms for big data analysis and related areas, and learn about exciting recent developments in the field. The workshop will feature talks on recent research results, as well as ample time for board discussions and collaboration. Confirmed participants: Alex Andoni (Columbia University) […]
Workshop on “Entanglement Scaling and Criticality with Tensor Networks”
The description of critical phenomena in terms of the renormalization group forms the cornerstone of our modern understanding of strongly-correlated systems. It leads to effective Hamiltonians that can be studied using numerical methods such as Monte Carlo, and the success of those methods relies heavily on scaling ideas for the interpretation of the data. Based […]
Optimal checkpoint strategies
Surveillance systems are critical for biological systems. Cellular self-replication is monitored by checkpoints, which arrest cells when errors are detected. However, checkpoints are hardly explored quantitatively. We were interested in checkpoint override, the phenomenon that checkpoints ‘give up’ or ‘override’ when cells are faced with persistent errors. We sought to find patterns to checkpoints override, […]
Modern Trends in Combinatorial Optimization
Combinatorial Optimization deals with discrete optimization problems that are defined on combinatorial structures such as graphs, networks, or discrete sets in geometric arrangements. Motivated by diverse practical problem setups, the topic has developed into a rich discipline at the intersection of mathematics and theoretical computer science. The area is deeply rooted in other fields such as […]
Postdoctoral workshop on “Foliations in Algebraic and Birational Geometry”
The goal of this workshop is to bring together researchers working on holomorphic foliations and birational geometry. There will be two mini-courses on recent advances in foliation theory and research talks by leading experts in the fields. For more information, consult the list of speakers and the schedule. Dates and Venue: September 5-9, 2022 at […]
Postdoctoral workshop on “Variational Learning of Quantum Matter”
Mini-conference at the intersection between classical and quantum variational algorithms to study quantum many-body systems. 5 days of focused talks and discussions among the 50 participants on a large terrace with boards and a beautiful view of the Geneva Lake. We will cover fundamental problems such as embedding symmetries and representational power of variational states, (higher-order) optimization techniques and […]
