Measuring Public Opinion with Machine Learning
With Lucas Leemann
10:10 - 10:30, Jan, 25AI & DemocracyView detailSub-Matrix Factorization for Interpretable Real-Time Vote Prediction
With Alexander Immer
10:35 - 10:55, Jan, 25AI & DemocracyView detailUser Monitoring of the US Presidential Election
With Jacques Savoy
11:10 - 11:30, Jan, 25AI & DemocracyView detailInvestigating Paths Towards Safe Online Political Advertising
With Oana Goga
11:35 - 11:55, Jan, 25AI & DemocracyView detailVoting Predictions in Political Science
With Steven Eichenberger
11:55 - 12:10, Jan, 25AI & DemocracyView detailUsing Machine Learning and Open Data to Report 216 Brazilian Congresspeople for Corruption
With Irio Musskopf
13:35 - 13:55, Jan, 25AI & DemocracyView detailBig Problem, Big Data (And Vice Versa)
With Christine Choirat
14:00 - 14:20, Jan, 25AI & DemocracyView detailGender Attitudes in the Judiciary: Evidence from U.S. Circuit Courts
With Arianna Ornaghi
14:35 - 14:55, Jan, 25AI & DemocracyView detailWith Bot Dog Against Online Hate
With Sophie Achermann
15:00 - 15:20, Jan, 25AI & DemocracyView detailTrumping Hate on Twitter? Online Hate Speech and White Nationalist Rhetoric in the 2016 US Election Campaign and its Aftermath
With Alexandra Siegel
15:25 - 15:55, Jan, 25AI & DemocracyView detailUsing Data Science to Achieve Fair and Equitable Social Outcomes
With Rayid Ghani
16:15 - 17:00, Jan, 25AI & DemocracyView detailInnovaud Session: Swiss Food & Nutrition Valley
With Christian Nils Schwab
09:05 - 09:10, Mar, 01AI & Food and NutritionView detailInnovaud Session: How Buhler is using data to enhance food safety & quality
With Matthias Graeber
09:15 - 09:20, Mar, 01AI & Food and NutritionView detailFrom Rule-based Towards more Robust Corpus-based Food Information Extraction
With Gorjan Popovski & Gjorgjina Cenikj
09:35 - 10:05, Mar, 01AI & Food and NutritionView detailA Food Recognition Benchmark for Instance Segmentation tasks
With Sharada Mohanty
10:10 - 10:40, Mar, 01AI & Food and NutritionView detailMachine Learning in Industry: Opportunities and Challenges
With Enrico Zio
11:00 - 11:55, Mar, 01AI & Food and NutritionView detailReinventing Fragrance and Flavor Design
With Philippe Glénat & Timon Zimmermann
13:30 - 13:40, Mar, 01AI & Food and NutritionView detailUnderstanding, Predicting & Changing Eating Habits on the Web
With Christoph Trattner
13:50 - 14:35, Mar, 01AI & Food and NutritionView detailCan AI & social psychology nudge towards a healthier diet?
With Patrizia Catellani
15:40 - 16:00, Mar, 01AI & Food and NutritionView detailUtilizing a Food Knowledge Graph for Healthy Ingredient Substitutions
With Sola Shirai
16:05 - 16:35, Mar, 01AI & Food and NutritionView detailIntroduction to the Pitch Session
With Mireille Moser
16:45 - 16:50, Mar, 01AI & Food and NutritionView detailNatural Language Processing for Automatic Labelling of Open Consumer Comments
With Nourchene Ben Romdhane
16:50 - 16:53, Mar, 01AI & Food and NutritionView detailDigital Twin Me, My diet and I
With Lydia Afman
16:55 - 16:58, Mar, 01AI & Food and NutritionView detailLinked Data for Optimization in Personalized Dietary Advice
With Lorijn van Rooijen
17:00 - 17:03, Mar, 01AI & Food and NutritionView detailFormation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study
With Kristina Gligorić
17:05 - 17:08, Mar, 01AI & Food and NutritionView detailA revolutionary tool for nutrition research: MyFoodRepo
With Talia Salzmann
17:10 - 17:13, Mar, 01AI & Food and NutritionView detailClassifying and creating 3D representations of crops
With Thomas Chen
17:15 - 17:18, Mar, 01AI & Food and NutritionView detailValidation in RL for Health: Including the Experts!
With Finale Doshi-Velez
09:20 - 10:00, Mar, 18Clinical Machine LearningView detailMachine Learning for Personalized Medicine in Paediatrics
With Julia Vogt
10:00 - 10:25, Mar, 18Clinical Machine LearningView detailEthics of big data and clinical ML
With Bernice Elger
10:35 - 11:00, Mar, 18Clinical Machine LearningView detailContext is Everything: A Case Study on Hypotension Prediction
With Stephanie Hyland
11:00 - 11:25, Mar, 18Clinical Machine LearningView detailDeep learning and the Future of Radiology
With Daniel Rueckert
11:25 - 11:45, Mar, 18Clinical Machine LearningView detailBoosting Digital Pathology with Machine Learning
With Vanessa Schumacher & Matteo Togninalli
13:05 - 13:30, Mar, 18Clinical Machine LearningView detailMIMIC-IV, a deidentified critical care database
With Alistair Johnson
13:35 - 14:00, Mar, 18Clinical Machine LearningView detailMachine Learning for Personalised Mental Health
With Danielle Belgrave
14:05 - 14:55, Mar, 18Clinical Machine LearningView detailComputational pharmacogenomics in precision oncology
With Michael Menden
15:10 - 15:30, Mar, 18Clinical Machine LearningView detailHow AI should be implemented in clinical practice?
With Steve Jiang
15:35 - 16:00, Mar, 18Clinical Machine LearningView detailPanel: Achieving clinical translation - Requirements, Challenges, Successes
With Julia Vogt, Bastian Rieck, Danielle Belgrave, Assaf Gottlieb, Steve Jiang & Tobias Gass
16:05 - 17:05, Mar, 18Clinical Machine LearningView detailInnovaud session: Sustainable Energy
With Dimitri Torregrossa & Frédéric Dubois
09:10 - 09:25, Apr, 26AI & Sustainable EnergyView detailTowards collaborative and market-based analytics for energy applications
With Pierre Pinson
09:30 - 10:00, Apr, 26AI & Sustainable EnergyView detailUnlocking the value in private data: opportunities for federated analytics in low voltage networks
With Ben Bowler
10:05 - 10:25, Apr, 26AI & Sustainable EnergyView detailIndustry 4.0 and energy transition
With Eva Urbano
10:30 - 10:50, Apr, 26AI & Sustainable EnergyView detailLoad prediction and flexible device recognition in smart grids
With Thomas Gall
11:00 - 11:20, Apr, 26AI & Sustainable EnergyView detailNon-intrusive load monitoring
With Portia Murray
11:25 - 11:45, Apr, 26AI & Sustainable EnergyView detailML and Power System Modelling Tools for LV last mile insights
With Dongjiao Ge & Bruce Stephen
11:50 - 12:10, Apr, 26AI & Sustainable EnergyView detailBayesian methods for power grid identification
With Jean-Sebastien Brouillon
12:15 - 12:35, Apr, 26AI & Sustainable EnergyView detailPhysics of Failure and Model-based reasoning to facilitate CBM/PDM processes
With Franz Langmayr
12:40 - 13:00, Apr, 26AI & Sustainable EnergyView detailData-driven energy efficiency and flexibility for the building sector
With Pierre Vogler-Finck
14:00 - 14:20, Apr, 26AI & Sustainable EnergyView detailApplied ML: Boosting the Energy Transition
With Thilo Weber
14:25 - 14:45, Apr, 26AI & Sustainable EnergyView detailMachine Learning Approach for Prediction of Congressional Voting Records on Climate Mitigation
With Thomas Chen
15:15 - 15:30, Apr, 26AI & Sustainable EnergyView detailSurrogate modeling for national scale assessment of wind power technology innovation
With Dylan Harrison-Atlas
15:45 - 16:00, Apr, 26AI & Sustainable EnergyView detailPhysics-constrained deep learning for energy efficient control of buildings
With Jan Drgona
16:10 - 16:30, Apr, 26AI & Sustainable EnergyView detailA Deep Reinforcement Learning Framework for Fast Charging of Li-ion Batteries
With Saehong Park
16:35 - 16:55, Apr, 26AI & Sustainable EnergyView detailIncorporating power system physics into deep learning
With Priya Donti
17:00 - 17:30, Apr, 26AI & Sustainable EnergyView detailSemantic Scholar, NLP, and the Fight Against COVID-19
With Oren Etzioni
18:00 - 18:20, Apr, 27AMLD Conversations: Oren EtzioniView detailWelcome
13:30 - 13:31, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailIntroduction to the track
With Martin Jaggi
13:31 - 13:35, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailOpening remarks
With Rüdiger Urbanke
13:35 - 13:40, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailAnticipating the future of machine learning and AI from a science and engineering perspective
With Pushmeet Kohli, Rüdiger Urbanke, Jeannette M. Wing & Michael I. Jordan
13:40 - 15:00, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailCoffee break
15:00 - 15:15, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailSession Recap
15:15 - 15:18, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailIntroduction to the second panel
With Emmanuel Abbé
15:18 - 15:20, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailImplications of advanced AI on the ‘human’, society and global governance
With Nanjira Sambuli, Emmanuel Abbé, Ken-Ichiro Natsume & Eric Horvitz
15:20 - 16:40, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailWrap up & Concluding remarks
16:40 - 16:45, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailVirtual networking
16:45 - 17:45, May, 10Anticipating the future of artificial intelligence and its impact on people and on societyView detailThe representation theory of neural networks
With Marco Armenta
18:25 - 18:50, May, 10AI & TopologyView detailLevel-set persistence and Sheaf Theory
With Nicolas Berkouk
18:55 - 19:20, May, 10AI & TopologyView detailMultiparameter persistence for mortals
With Bryn Keller
19:25 - 19:50, May, 10AI & TopologyView detailTopology and Machine Learning
With Rickard Brüel-Gabrielsson
20:05 - 20:30, May, 10AI & TopologyView detailScalable Topological Data Analysis and Visualisation of Evaluating Data-Driven Models in Scientific Applications
With Shusen Liu
20:35 - 21:00, May, 10AI & TopologyView detailQuantifying the shape of time series with TDA and Network-based methods
With Elizabeth Munch
21:05 - 21:30, May, 10AI & TopologyView detailIntroduction to the track
With Marcel Salathé
09:30 - 09:35, Jun, 28AI & the response to the COVID-19 pandemicView detailData Science against COVID-19
With Nuria Oliver
09:40 - 10:10, Jun, 28AI & the response to the COVID-19 pandemicView detailImproving clinical decision making for patients with COVID-19: identifying risk factors for mortality in hospitalised patients in the USA
With Shemra Rizzo
10:15 - 10:30, Jun, 28AI & the response to the COVID-19 pandemicView detailRapid Cues for Research: COVID-19 Exploratory Search System Using Taxonomies
With Muhammad Atif Qureshi
10:36 - 10:53, Jun, 28AI & the response to the COVID-19 pandemicView detailOn the automation of de-novo molecular design and chemical synthesis planning - a case study on SARS-CoV-2
With Jannis Born
10:58 - 11:15, Jun, 28AI & the response to the COVID-19 pandemicView detailMapping the landscape of artificial intelligence applications against COVID-19
With Miguel Luengo-Oroz
11:25 - 12:02, Jun, 28AI & the response to the COVID-19 pandemicView detailImpacts of COVID-19 Mobility Restrictions on Dietary Interests
With Kristina Gligorić
12:07 - 12:24, Jun, 28AI & the response to the COVID-19 pandemicView detailFacebook surveys provide rapid insights into people's behaviours during the COVID-19 pandemic
With Daniela Perrotta
12:29 - 12:46, Jun, 28AI & the response to the COVID-19 pandemicView detail2020 Year in review : AI versus COVID?
With Judy Gichoya
12:51 - 13:08, Jun, 28AI & the response to the COVID-19 pandemicView detailDigital tools against covid19. Ethics and governance challenges.
With Effy Vayena
14:23 - 14:58, Jun, 28AI & the response to the COVID-19 pandemicView detailThe Covid-19 Infodemics Observatory
With Riccardo Gallotti
15:03 - 15:20, Jun, 28AI & the response to the COVID-19 pandemicView detailInterpreting public information for Covid-19: a case for deep learning
With Karl Aberer
15:25 - 15:42, Jun, 28AI & the response to the COVID-19 pandemicView detailInfodemics and Information Dynamics
With Walter Quattrociocchi
15:47 - 16:04, Jun, 28AI & the response to the COVID-19 pandemicView detailMaking Mobility Data Useful during COVID-19
With Caroline Buckee
16:14 - 16:51, Jun, 28AI & the response to the COVID-19 pandemicView detailEstimating the effect of social inequalities on the mitigation of COVID-19 across communities in Santiago de Chile
With Nicolò Gozzi
16:56 - 17:13, Jun, 28AI & the response to the COVID-19 pandemicView detailA Bayesian spatial analysis of the association of socioeconomic inequality and perceived risk of infection with human mobility changes [...]
With Giulia Carella
17:18 - 17:35, Jun, 28AI & the response to the COVID-19 pandemicView detailProgram Deepdive: AI/ML for Pharma – Emerging applications of AI/ML in healthcare domain
With Asif Jan
09:07 - 09:20, Aug, 23AI & PharmaView detailPersonalising cancer care: integrating data modalities to predict overall survival and improve outcomes for patients with NSCLC
With Marius Garmhausen
09:20 - 09:35, Aug, 23AI & PharmaView detailSession introduction – Methods & Approaches
With Mark Baillie
09:40 - 09:45, Aug, 23AI & PharmaView detailUsing AI to develop Medicines with a higher Probability of Success
With Patrick Schwab
09:45 - 10:05, Aug, 23AI & PharmaView detailFederated Machine Learning – Putting patient privacy first in healthcare AI
With Camille Marini
10:10 - 10:30, Aug, 23AI & PharmaView detailInformation Extraction and Natural Language Query Processing of Cancer Research Data using Machine Learning
With Kurt Stockinger
10:40 - 11:00, Aug, 23AI & PharmaView detailDeep interpretable regression models for semi-structured data in stroke patient outcome prediction
With Lisa Herzog
11:05 - 11:25, Aug, 23AI & PharmaView detailUsing knockoffs for controlled predictive biomarker identification
With Kostas Sechidis
11:30 - 11:50, Aug, 23AI & PharmaView detailSession introduction – Application of AI/ML in Healthcare
With Asif Jan
13:00 - 13:05, Aug, 23AI & PharmaView detailAI for Life: The Novartis AI Innovation Center
With Bülent Kiziltan, Erik Anderson & Nicholas Kelley
13:05 - 13:25, Aug, 23AI & PharmaView detailLearning to deal with multi-centric imaging biomarkers in the real world
With Jonas Richiardi
13:30 - 13:50, Aug, 23AI & PharmaView detailMachine learning detects anti-dengue signatures in antibody repertoire sequences
With Enkelejda Miho
13:55 - 14:15, Aug, 23AI & PharmaView detailUsing an end-of-life sensor study for machine learning
With Simone Lionetti
14:20 - 14:40, Aug, 23AI & PharmaView detailComorbidity neural networks for sub-/optimal therapeutic response
With André Jaun
14:45 - 15:05, Aug, 23AI & PharmaView detailA Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
With Jason Plawinski
15:10 - 15:30, Aug, 23AI & PharmaView detailSession introduction – Data Sharing, Ethics and Privacy
With Ria Kechagia
15:45 - 15:50, Aug, 23AI & PharmaView detailMedCo - Fostering multi-centric medical collaborations with decentralized privacy-enhancing technologies
With Jean Louis Raisaro
15:50 - 16:10, Aug, 23AI & PharmaView detailUsing Health Data for Research: Evolving National Policies
With Limor Shmerling Magazanik
16:15 - 16:35, Aug, 23AI & PharmaView detailData privacy and availability: Processing data under legal constraints
With Nataliya Kryvych & Cécile Louwers
16:40 - 17:00, Aug, 23AI & PharmaView detailApplications of Synthetic Data Generation for Enabling Data Sharing and Simulating Virtual Patients
With Khaled El Emam
17:05 - 17:25, Aug, 23AI & PharmaView detailTruly Privacy-Preserving Federated Analytics for Personalized Medicine
With Jean-Pierre Hubaux
17:30 - 17:50, Aug, 23AI & PharmaView detailIntroduction to the track
With Milica Lazic, Ernst Oldenhof & Sacha Schwab
09:05 - 09:10, Sep, 14AI for Risk in Financial InstitutionsView detailFighting Financial Crime with advanced analytics
With Madan Sathe
09:10 - 09:45, Sep, 14AI for Risk in Financial InstitutionsView detailData Science for Uninterrupted KYC Compliance
With Aleksandra Chirkina
09:49 - 10:15, Sep, 14AI for Risk in Financial InstitutionsView detailCommunication Surveillance – How to make it fit for purpose in Banking?
With Prasanna Venkatesan
10:19 - 10:45, Sep, 14AI for Risk in Financial InstitutionsView detailData: a threat and a promise for financial institutions
With Philipp Thomann & Jacqueline Stählin
10:49 - 11:15, Sep, 14AI for Risk in Financial InstitutionsView detailHow AI can help to fight financial markets manipulation?
With Paul Dudko & Paul Wang
11:19 - 11:45, Sep, 14AI for Risk in Financial InstitutionsView detailResponsible AI for Risk Management in Financial Institutions
With Luc Gerardin
11:49 - 12:15, Sep, 14AI for Risk in Financial InstitutionsView detailConcluding remarks
With Sacha Schwab
12:15 - 12:30, Sep, 14AI for Risk in Financial InstitutionsView detailPushing boundaries for media technology
With Severin Klingler
13:40 - 14:10, Sep, 14AI & Online BusinessView detailMachine Learning in Online Marketplaces
With Alexey Grigorev
14:15 - 14:35, Sep, 14AI & Online BusinessView detailOnline Experience Optimization @Swisscom using AI/ML
With Nicolas Mériel
14:40 - 15:00, Sep, 14AI & Online BusinessView detailSeparating Gold from Waste: Models for Traffic Shaping in Programmatic Advertising
With André Schumacher
15:05 - 15:25, Sep, 14AI & Online BusinessView detailEstablishing and scaling data products in online business
With Markus Barmettler
15:45 - 16:15, Sep, 14AI & Online BusinessView detailMachine Learning Infrastructure at Digitec Galaxus
With Hakim Invernizzi & Xabier Rodriguez
16:20 - 16:40, Sep, 14AI & Online BusinessView detailAutomated journalism at Tamedia
With Timo Grossenbacher
16:45 - 17:05, Sep, 14AI & Online BusinessView detailRecommender systems for personalized newsletters at Watchfinder
With Francesco Calabrese & Alessandro Nesti
17:10 - 17:30, Sep, 14AI & Online BusinessView detailMachine Learning Simulation of Quantum Matter
With Giuseppe Carleo
09:10 - 09:40, Sep, 30AI & PhysicsView detailCorrelation-Enhanced Neural Networks as Interpretable Variational Quantum States
With Agnes Valenti
09:45 - 10:15, Sep, 30AI & PhysicsView detailControl of Stochastic Quantum Dynamics by Differentiable Programming
With Frank Schäfer
10:20 - 10:30, Sep, 30AI & PhysicsView detailOptimized Observable Readout from Single-Shot Images of Ultracold Atoms via Machine Learning
With Paolo Molignini
10:35 - 10:45, Sep, 30AI & PhysicsView detailMachine learning designing quantum experiments
With Alexey Melnikov
10:50 - 11:15, Sep, 30AI & PhysicsView detailDynamics of learning in simple neural networks through the lens of statistical physics
With Andrew Saxe
13:20 - 13:50, Sep, 30AI & PhysicsView detailSoft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines
With Roman Worschech
13:55 - 14:05, Sep, 30AI & PhysicsView detailTraining is not a continuous search for a minimum
With Diego Tapias
14:10 - 14:20, Sep, 30AI & PhysicsView detailUnderstanding classification problems using statistical physics: the role of data structure and losses
With Marylou Gabrié
14:25 - 14:55, Sep, 30AI & PhysicsView detailTowards realistic data models for simple Machine Learning problems
With Bruno Loureiro
15:00 - 15:30, Sep, 30AI & PhysicsView detailOpening remarks – Inference and Anomaly Detection Session
15:45 - 15:50, Sep, 30AI & PhysicsView detailUnsupervised anomaly detection as a new strategy for discoveries
With Gregor Kasieczka
16:25 - 16:55, Sep, 30AI & PhysicsView detailUncertainty Aware Learning for High Energy Physics
With Aishik Ghosh
17:00 - 17:10, Sep, 30AI & PhysicsView detailLet's open the black box! Hessian-based toolbox for interpretable and reliable machines learning physics
With Anna Dawid
17:15 - 17:25, Sep, 30AI & PhysicsView detailUncertainty and Out-of-distribution Robustness in Deep Learning
With Balaji Lakshminarayanan
17:30 - 18:00, Sep, 30AI & PhysicsView detailHybrid operational digital twins for complex systems: integrating deep learning algorithms with structural inductive bias and physics
With Olga Fink
09:15 - 10:00, Oct, 25AI & Resilience in dynamic environmentsView detailBuilding an AI system that is trusted in a time of crises
With Ilya Feige
10:05 - 10:35, Oct, 25AI & Resilience in dynamic environmentsView detailAI & Resilience: Learnings from mining Electronic Health Records
With Grégoire Caro
10:50 - 11:20, Oct, 25AI & Resilience in dynamic environmentsView detailImpactful projects brought to life with simple ML techniques
With Kate Davey & Mohamad Dia
11:20 - 11:25, Oct, 25AI & Resilience in dynamic environmentsView detailPanel discussion
With Uwe Nagel, Ilya Feige, Grégoire Caro & Olga Fink
11:30 - 12:10, Oct, 25AI & Resilience in dynamic environmentsView detailExtracting Building Attributes with Deep Learning from Aerial Imagery
With Patrick Jayet
15:30 - 16:00, Oct, 25AI & Resilience in dynamic environmentsView detailA 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
16:05 - 16:35, Oct, 25AI & Resilience in dynamic environmentsView detailEvaluating commercial property resilience with hybrid physics-based/ machine learning (ML) models
With Jeffrey R. Bohn
16:50 - 17:35, Oct, 25AI & Resilience in dynamic environmentsView detailApplied Machine Learning with R
With Dirk Wulff & Markus Steiner
09:00 - 17:00, Nov, 05OnlineWorkshopView detailTowards ethical AI – practical tools for responsible data scientists
With Lea Strohm & Johan Rochel
10:00 - 11:30, Nov, 10OnlineWorkshopView detailAI and Climate Change: Opportunities, challenges, and recommendations
With David Rolnick
15:50 - 16:00, Dec, 02AI & CitiesView detailAI & Cities: the Role of Public Health
With Catherine Regis
16:00 - 16:10, Dec, 02AI & CitiesView detailDiscussion
With Shazade Jameson, Catherine Regis, James Haworth, Hubert Beroche, Myriam Guillemette, David Rolnick, Gilles Fayad & Abdinassir Sagar
16:30 - 17:00, Dec, 02AI & CitiesView detail