Introduction of AMLD 2021

With Robert West

Opening remarks

With Victor Kristof

Measuring Public Opinion with Machine Learning

With Lucas Leemann

Sub-Matrix Factorization for Interpretable Real-Time Vote Prediction

With Alexander Immer

Coffee Break

User Monitoring of the US Presidential Election

With Jacques Savoy

Investigating Paths Towards Safe Online Political Advertising

With Oana Goga

Voting Predictions in Political Science

With Steven Eichenberger

Lunch Break

Opening remarks

With Roy Gava

Using Machine Learning and Open Data to Report 216 Brazilian Congresspeople for Corruption

With Irio Musskopf

Big Problem, Big Data (And Vice Versa)

With Christine Choirat

Coffee Break

Gender Attitudes in the Judiciary: Evidence from U.S. Circuit Courts

With Arianna Ornaghi

With Bot Dog Against Online Hate

With Sophie Achermann

Trumping Hate on Twitter? Online Hate Speech and White Nationalist Rhetoric in the 2016 US Election Campaign and its Aftermath

With Alexandra Siegel

Coffee Break

Using Data Science to Achieve Fair and Equitable Social Outcomes

With Rayid Ghani

Concluding remarks

With Roy Gava

Virtual Apéro and Networking Event

Introduction

With Marcel Salathé

Innovaud Session: Swiss Food & Nutrition Valley

With Christian Nils Schwab

Innovaud Session: Vivent

With Carrol Plummer

Innovaud Session: How Buhler is using data to enhance food safety & quality

With Matthias Graeber

Opening remarks

With Tome Eftimov

From Rule-based Towards more Robust Corpus-based Food Information Extraction

With Gorjan Popovski & Gjorgjina Cenikj

A Food Recognition Benchmark for Instance Segmentation tasks

With Sharada Mohanty

Coffee break

Machine Learning in Industry: Opportunities and Challenges

With Enrico Zio

Concluding remarks

With Ugo Gentile

Lunch Break

Reinventing Fragrance and Flavor Design

With Philippe Glénat & Timon Zimmermann

Opening remarks

With Mireille Moser

Understanding, Predicting & Changing Eating Habits on the Web

With Christoph Trattner

Coffee break

AI & Food Safety

With Yamine Bouzembrak

Can AI & social psychology nudge towards a healthier diet?

With Patrizia Catellani

Utilizing a Food Knowledge Graph for Healthy Ingredient Substitutions

With Sola Shirai

Coffee break

Introduction to the Pitch Session

With Mireille Moser

Natural Language Processing for Automatic Labelling of Open Consumer Comments

With Nourchene Ben Romdhane

Digital Twin Me, My diet and I

With Lydia Afman

Linked Data for Optimization in Personalized Dietary Advice

With Lorijn van Rooijen

Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study

With Kristina Gligorić

A revolutionary tool for nutrition research: MyFoodRepo

With Talia Salzmann

Classifying and creating 3D representations of crops

With Thomas Chen

Concluding remarks

With Fabio Mainardi

Networking

Introduction

With Marcel Salathé

Opening remarks

With Damian Roqueiro

Validation in RL for Health: Including the Experts!

With Finale Doshi-Velez

Machine Learning for Personalized Medicine in Paediatrics

With Julia Vogt

Coffee Break

Ethics of big data and clinical ML

With Bernice Elger

Context is Everything: A Case Study on Hypotension Prediction

With Stephanie Hyland

Deep learning and the Future of Radiology

With Daniel Rueckert

Concluding remarks

With Damian Roqueiro

Lunch break

Opening remarks

With Christian Bock

Boosting Digital Pathology with Machine Learning

With Vanessa Schumacher & Matteo Togninalli

MIMIC-IV, a deidentified critical care database

With Alistair Johnson

Machine Learning for Personalised Mental Health

With Danielle Belgrave

Coffee Break

Computational pharmacogenomics in precision oncology

With Michael Menden

How AI should be implemented in clinical practice?

With Steve Jiang

Panel: Achieving clinical translation - Requirements, Challenges, Successes

With Julia Vogt, Bastian Rieck, Danielle Belgrave, Assaf Gottlieb, Steve Jiang & Tobias Gass

Concluding remarks

With Bastian Rieck

Virtual Apéro

Introduction of the track

Innovaud session: Sustainable Energy

With Dimitri Torregrossa & Frédéric Dubois

Opening remarks

Towards collaborative and market-based analytics for energy applications

With Pierre Pinson

Unlocking the value in private data: opportunities for federated analytics in low voltage networks

With Ben Bowler

Industry 4.0 and energy transition

With Eva Urbano

Coffee break

Load prediction and flexible device recognition in smart grids

With Thomas Gall

Non-intrusive load monitoring

With Portia Murray

ML and Power System Modelling Tools for LV last mile insights

With Dongjiao Ge & Bruce Stephen

Bayesian methods for power grid identification

With Jean-Sebastien Brouillon

Physics of Failure and Model-based reasoning to facilitate CBM/PDM processes

With Franz Langmayr

Lunch break

Data-driven energy efficiency and flexibility for the building sector

With Pierre Vogler-Finck

Applied ML: Boosting the Energy Transition

With Thilo Weber

The CityLearn challenge

With Zoltan Nagy

Machine Learning Approach for Prediction of Congressional Voting Records on Climate Mitigation

With Thomas Chen

Coffee break

Surrogate modeling for national scale assessment of wind power technology innovation

With Dylan Harrison-Atlas

Physics-constrained deep learning for energy efficient control of buildings

With Jan Drgona

A Deep Reinforcement Learning Framework for Fast Charging of Li-ion Batteries

With Saehong Park

Incorporating power system physics into deep learning

With Priya Donti

Virtual Apero

Semantic Scholar, NLP, and the Fight Against COVID-19

With Oren Etzioni

Welcome

Introduction to the track

With Martin Jaggi

Opening remarks

With Rüdiger Urbanke

Anticipating the future of machine learning and AI from a science and engineering perspective

With Pushmeet Kohli, Rüdiger Urbanke, Jeannette M. Wing & Michael I. Jordan

Coffee break

Session Recap

Introduction to the second panel

With Emmanuel Abbé

Implications of advanced AI on the ‘human’, society and global governance

With Nanjira Sambuli, Emmanuel Abbé, Ken-Ichiro Natsume & Eric Horvitz

Wrap up & Concluding remarks

Virtual networking

Introduction of the track

With Martin Jaggi

Opening remarks

With Kathryn Hess Bellwald

The representation theory of neural networks

With Marco Armenta

Level-set persistence and Sheaf Theory

With Nicolas Berkouk

Multiparameter persistence for mortals

With Bryn Keller

Coffee break

Topology and Machine Learning

With Rickard Brüel-Gabrielsson

Scalable Topological Data Analysis and Visualisation of Evaluating Data-Driven Models in Scientific Applications

With Shusen Liu

Coffee break

Quantifying the shape of time series with TDA and Network-based methods

With Elizabeth Munch

Panel discussion

Conclusion

Introduction to the track

With Marcel Salathé

Opening remarks

Data Science against COVID-19

With Nuria Oliver

Improving clinical decision making for patients with COVID-19: identifying risk factors for mortality in hospitalised patients in the USA

With Shemra Rizzo

Rapid Cues for Research: COVID-19 Exploratory Search System Using Taxonomies

With Muhammad Atif Qureshi

On the automation of de-novo molecular design and chemical synthesis planning - a case study on SARS-CoV-2

With Jannis Born

Coffee break

Mapping the landscape of artificial intelligence applications against COVID-19

With Miguel Luengo-Oroz

Impacts of COVID-19 Mobility Restrictions on Dietary Interests

With Kristina Gligorić

Facebook surveys provide rapid insights into people's behaviours during the COVID-19 pandemic

With Daniela Perrotta

2020 Year in review : AI versus COVID?

With Judy Gichoya

Concluding remarks

Lunch

Opening remarks

Digital tools against covid19. Ethics and governance challenges.

With Effy Vayena

The Covid-19 Infodemics Observatory

With Riccardo Gallotti

Interpreting public information for Covid-19: a case for deep learning

With Karl Aberer

Infodemics and Information Dynamics

With Walter Quattrociocchi

Coffee break

Making Mobility Data Useful during COVID-19

With Caroline Buckee

Estimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile

With Nicolò Gozzi

A Bayesian spatial analysis of the association of socioeconomic inequality and perceived risk of infection with human mobility changes [...]

With Giulia Carella

Concluding remarks

Virtual Apéro

Stream kick-off

Introduction of the track

With Marcel Salathé

Program Deepdive: AI/ML for Pharma – Emerging applications of AI/ML in healthcare domain

With Asif Jan

Personalising cancer care: integrating data modalities to predict overall survival and improve outcomes for patients with NSCLC

With Marius Garmhausen

Session introduction – Methods & Approaches

With Mark Baillie

Using AI to develop Medicines with a higher Probability of Success

With Patrick Schwab

Federated Machine Learning – Putting patient privacy first in healthcare AI

With Camille Marini

Coffee break

Information Extraction and Natural Language Query Processing of Cancer Research Data using Machine Learning

With Kurt Stockinger

Deep interpretable regression models for semi-structured data in stroke patient outcome prediction

With Lisa Herzog

Using knockoffs for controlled predictive biomarker identification

With Kostas Sechidis

Session conclusion

Lunch Break

Session introduction – Application of AI/ML in Healthcare

With Asif Jan

AI for Life: The Novartis AI Innovation Center

With Bülent Kiziltan, Erik Anderson & Nicholas Kelley

Learning to deal with multi-centric imaging biomarkers in the real world

With Jonas Richiardi

Machine learning detects anti-dengue signatures in antibody repertoire sequences

With Enkelejda Miho

Using an end-of-life sensor study for machine learning

With Simone Lionetti

Comorbidity neural networks for sub-/optimal therapeutic response

With André Jaun

A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs

With Jason Plawinski

Session conclusion

Coffee break

Session introduction – Data Sharing, Ethics and Privacy

With Ria Kechagia

MedCo - Fostering multi-centric medical collaborations with decentralized privacy-enhancing technologies

With Jean Louis Raisaro

Using Health Data for Research: Evolving National Policies

With Limor Shmerling Magazanik

Data privacy and availability: Processing data under legal constraints

With Nataliya Kryvych & Cécile Louwers

Applications of Synthetic Data Generation for Enabling Data Sharing and Simulating Virtual Patients

With Khaled El Emam

Truly Privacy-Preserving Federated Analytics for Personalized Medicine

With Jean-Pierre Hubaux

Session conclusion

AI & Pharma track organizers – Program Conclusion

Virtual Apéro

Introduction

With Martin Jaggi

Introduction to the track

With Milica Lazic, Ernst Oldenhof & Sacha Schwab

Fighting Financial Crime with advanced analytics

With Madan Sathe

Data Science for Uninterrupted KYC Compliance

With Aleksandra Chirkina

Communication Surveillance – How to make it fit for purpose in Banking?

With Prasanna Venkatesan

Data: a threat and a promise for financial institutions

With Philipp Thomann & Jacqueline Stählin

How AI can help to fight financial markets manipulation?

With Paul Dudko & Paul Wang

Responsible AI for Risk Management in Financial Institutions

With Luc Gerardin

Concluding remarks

With Sacha Schwab

Introduction

Pushing boundaries for media technology

With Severin Klingler

Machine Learning in Online Marketplaces

With Alexey Grigorev

Online Experience Optimization @Swisscom using AI/ML

With Nicolas Mériel

Separating Gold from Waste: Models for Traffic Shaping in Programmatic Advertising

With André Schumacher

Coffee break

Establishing and scaling data products in online business

With Markus Barmettler

Machine Learning Infrastructure at Digitec Galaxus

With Hakim Invernizzi & Xabier Rodriguez

Automated journalism at Tamedia

With Timo Grossenbacher

Recommender systems for personalized newsletters at Watchfinder

With Francesco Calabrese & Alessandro Nesti

Final Remarks

Introduction

Opening remarks – ML for Quantum Physic

Machine Learning Simulation of Quantum Matter

With Giuseppe Carleo

Correlation-Enhanced Neural Networks as Interpretable Variational Quantum States

With Agnes Valenti

Control of Stochastic Quantum Dynamics by Differentiable Programming

With Frank Schäfer

Optimized Observable Readout from Single-Shot Images of Ultracold Atoms via Machine Learning

With Paolo Molignini

Machine learning designing quantum experiments

With Alexey Melnikov

Poster Session

Lunch break

Opening remarks – ML and Statistical Physics

Dynamics of learning in simple neural networks through the lens of statistical physics

With Andrew Saxe

Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines

With Roman Worschech

Training is not a continuous search for a minimum

With Diego Tapias

Understanding classification problems using statistical physics: the role of data structure and losses

With Marylou Gabrié

Towards realistic data models for simple Machine Learning problems

With Bruno Loureiro

Coffee break

Opening remarks – Inference and Anomaly Detection Session

Deep Learning for molecular physics

With Frank Noe

Unsupervised anomaly detection as a new strategy for discoveries

With Gregor Kasieczka

Uncertainty Aware Learning for High Energy Physics

With Aishik Ghosh

Let's open the black box! Hessian-based toolbox for interpretable and reliable machines learning physics

With Anna Dawid

Uncertainty and Out-of-distribution Robustness in Deep Learning

With Balaji Lakshminarayanan

Concluding remarks

Introduction

Hybrid operational digital twins for complex systems: integrating deep learning algorithms with structural inductive bias and physics

With Olga Fink

Building an AI system that is trusted in a time of crises

With Ilya Feige

Coffee break

AI & Resilience: Learnings from mining Electronic Health Records

With Grégoire Caro

Impactful projects brought to life with simple ML techniques

With Kate Davey & Mohamad Dia

Panel discussion

With Uwe Nagel, Ilya Feige, Grégoire Caro & Olga Fink

Lunch break

Extracting Building Attributes with Deep Learning from Aerial Imagery

With Patrick Jayet

A resampling approach for causal inference on novel two-point time-series to identify risk factors for diabetes and cardiovascular disease

With Saad Mouti & Xiaowu Dai

Coffee break

Evaluating commercial property resilience with hybrid physics-based/ machine learning (ML) models

With Jeffrey R. Bohn

Closing

Introduction

With Robert West

Keynote – AI and the Future of Cities

With Michael Batty

Coffee break

Application of AI in cities

With Abdinassir Sagar

It's time to urbanize technology

With Hubert Beroche

Urban governance of AI, a review

With Myriam Guillemette

Data Governance Clinics

With Shazade Jameson

AI and Climate Change: Opportunities, challenges, and recommendations

With David Rolnick

AI & Cities: the Role of Public Health

With Catherine Regis

Applied AI for Urban Analytics

With James Haworth

AI governance for Cities & People

With Gilles Fayad

Discussion

With Shazade Jameson, Catherine Regis, James Haworth, Hubert Beroche, Myriam Guillemette, David Rolnick, Gilles Fayad & Abdinassir Sagar