Lattices Meet Hashes: Recent Advances in Post-Quantum Zero-Knowledge Proofs
Zero-knowledge proofs are a powerful cryptographic tool which has found numerous real-world applications in e.g. confidential transactions, anonymous credentials, e-voting and blockchain. Recently, due to the significant progress in building quantum computers, there has been tremendous interest in constructing such protocols from quantum-safe assumptions. The goal of this workshop is to share the current state-of-the-art […]
WinCompTop: Women in Computational Topology 3
BERNOULLI CENTER Lausanne (Switzerland) JULY 17-21, 2023 Scientific Overview The Bernoulli Center at EPFL (Switzerland) will host the third workshop for Women in Computational Topology. These workshops are designed to strengthen the computational topology community by bringing together women as well as gender-diverse researchers at various stages in their careers (from graduate students to senior researchers) and from […]
Young Researchers in Mathematics Program
The Bernoulli Center for Fundamental Studies is a world-renowned research institute located in Lausanne, Switzerland, facilitating research, outreach, and education in mathematics and the mathematical sciences. The Young Researchers in Mathematics Program is a new and exciting summer research program hosted by the Bernoulli Center, offering a unique opportunity for students in mathematics to gain […]
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) […]
Talk by Jakob Zech (TBA)
TBA
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 […]
