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Isaac Newton Institute Seminar Series
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The Isaac Newton Institute for Mathematical Sciences is a national and international visitor research institute. It runs research programmes on selected themes in mathematics and the mathematical sciences with applications over a wide range of science and technology. You can receive regular information by email on Institute seminars and events by subscribing to our mailing lists: follow the instructions at http://www.newton.cam.ac.uk/mailing.html. There are lists for each individual Institute programme. If you have a question about this list, please contact: Kathryn de Ridder; Clare Merritt; Vincenzo Abete; ad864; Robert Barczyk; INI Helpdesk; ajm80; jw2396; fj293. If you have a question about a specific talk, click on that talk to find its organiser. 230 upcoming talks and 13922 talks in the archive: show first 500. Director's BriefingRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Organiser's WelcomeRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Calibration of probabilistic predictionsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Calibrating prediction uncertainty with validity guaranteesRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
An introduction to the calibration of computer modelsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
A snapshot on diverse career trajectories in Statistics and Machine LearningRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Bayesian uncertainty quantification for recursive predictive algorithmsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Poster Session with Morning CoffeeRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Mixed moving average field guided learning for spatio-temporal dataRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Beyond Calibration of Probabilistic Classifier OutputsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Calibrating Data-Driven Predictions for Safety-Critical Systems: Challenges and SolutionsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Assessing the calibration of multi-horizon, probabilistic forecastsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
On the residue sequence in logarithmic THHEHT - Equivariant homotopy theory in context
Bayesian inference and uncertainty quantification in non-linear inverse problems with Gaussian priorsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Welcome ReceptionRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Multi-output conformal regressionRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Rectifying Conformity Scores for Better Conditional CoverageRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
A Bayesian methodology for hybrid degradation prognosticsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Poster Session with Morning CoffeeRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Conformal prediction - towards conditional coverage in multidistributional or multi predictor setupRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Asymptotic Inference for Score DecompositionsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Score-based calibration testing for multivariate forecast distributionsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Weighted ROC and Murphy Curves in Cost Space and ApplicationsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Discussion of morning session talksRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Weighted evaluation of probabilistic forecastsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Predictively Oriented PosteriorsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Overconfidence in Neural Networks: Fixing Uncertainty with Structured Priors and Post-hoc CalibrationRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Commemoration of Sayan MukherjeeRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Calibrated Physics-Informed Uncertainty QuantificationRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Guaranteed confidence-bands for PDE surrogatesRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Can Bayesian neural networks make confident predictions?RCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Discussion of morning session talksRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Local scale invariance and robustness of proper scoring rulesRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Sampling and scoring rules on manifoldsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Sampling and scoring rules on manifoldsRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Uncertainty Quantification in Machine Learning: From Aleatoric to EpistemicRCLW02 - Calibrating prediction uncertainty : statistics and machine learning perspectives
Organiser's WelcomeBPRW03 - Big proof: formalizing mathematics at scale
Formalizing Fermat: how it's goingBPRW03 - Big proof: formalizing mathematics at scale
Formalizing invisible mathematics: case studies from higher category theoryBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Welcome ReceptionBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
The Carleson Project: Formalization and CollaborationBPRW03 - Big proof: formalizing mathematics at scale
Proof of the existence of theta_6EHT - Equivariant homotopy theory in context
Homotopy theory of latticesEHT - Equivariant homotopy theory in context
Formalizing the divided power envelope in LeanBPRW03 - Big proof: formalizing mathematics at scale
Lean for teaching university mathematics: current work and future researchBPRW03 - Big proof: formalizing mathematics at scale
Can Mathematics Be Hacked? Infrastructure, Artificial Intelligence, and the Cybersecurity of Mathematical KnowledgeBPRW03 - Big proof: formalizing mathematics at scale
Informal to formal and back with LLMsBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
The realist's guide to AI for formal maths researchBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
What role is there, if any, for human-oriented automatic theorem proving today?BPRW03 - Big proof: formalizing mathematics at scale
Will mathematical theorem proving solved by scaling laws?BPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Title TBCBPRW03 - Big proof: formalizing mathematics at scale
Concluding Discussion SessionBPRW03 - Big proof: formalizing mathematics at scale
Organiser's WelcomeEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBC (VIRTUAL)EHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Equivariant formality of the little disks operadEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Geometric Langlands duality with generalized coefficients (VIRTUAL)EHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Title TBCEHTW04 - Beyond the telescope conjecture
Registration (copy)RCLW03 - Accelerating statistical inference and experimental design with machine learning
Registration (copy)RCLW03 - Accelerating statistical inference and experimental design with machine learning
RegistrationRCLW03 - Accelerating statistical inference and experimental design with machine learning
RegistrationRCLW03 - Accelerating statistical inference and experimental design with machine learning
Bayesian Inference TutorialRCLW03 - Accelerating statistical inference and experimental design with machine learning
Bayesian Inference TutorialRCLW03 - Accelerating statistical inference and experimental design with machine learning
Experimental design tutorialRCLW03 - Accelerating statistical inference and experimental design with machine learning
Experimental design tutorialRCLW03 - Accelerating statistical inference and experimental design with machine learning
Diffusion model tutorialRCLW03 - Accelerating statistical inference and experimental design with machine learning
Diffusion model tutorialRCLW03 - Accelerating statistical inference and experimental design with machine learning
Informal discussionRCLW03 - Accelerating statistical inference and experimental design with machine learning
Informal discussionRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Welcome and IntroductionOFBW73 - Topological Advances in the Life Sciences
Subjective View on TDA within Life SciencesOFBW73 - Topological Advances in the Life Sciences
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Topological Data Analysis for Multiscale BiologyOFBW73 - Topological Advances in the Life Sciences
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Persistent Homology for Inferencing on Cancer ImagingOFBW73 - Topological Advances in the Life Sciences
Poster spotlightsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Poster spotlightsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Enhancing Neurological Care with Digital BiomarkersOFBW73 - Topological Advances in the Life Sciences
Panel Discussion: Future Prospects for Topological Applications in BiologyOFBW73 - Topological Advances in the Life Sciences
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Poster SessionRCLW03 - Accelerating statistical inference and experimental design with machine learning
Poster SessionRCLW03 - Accelerating statistical inference and experimental design with machine learning
Cohomology Classes in the RNA TranscriptomeOFBW73 - Topological Advances in the Life Sciences
Topological Data Analysis of Vascular Networks for use in Haemodynamic SimulationsOFBW73 - Topological Advances in the Life Sciences
Discussion and Final RemarksOFBW73 - Topological Advances in the Life Sciences
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
AI-Enhanced Bayesian Experimental Design for Reaction Kinetics: Bridging Statistics and ChemistryRCLW03 - Accelerating statistical inference and experimental design with machine learning
AI-Enhanced Bayesian Experimental Design for Reaction Kinetics: Bridging Statistics and ChemistryRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Poster spotlightsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Poster spotlightsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Lunch at Churchill CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Lunch at Churchill CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Afternoon TeaRCLW03 - Accelerating statistical inference and experimental design with machine learning
Afternoon TeaRCLW03 - Accelerating statistical inference and experimental design with machine learning
Poster SessionRCLW03 - Accelerating statistical inference and experimental design with machine learning
Poster SessionRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Morning CoffeeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Morning CoffeeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Kernel Quantile Embeddings and Associated Probability MetricsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Kernel Quantile Embeddings and Associated Probability MetricsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Testing and improving the robustness of amortized Bayesian inference for cognitive modelsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Testing and improving the robustness of amortized Bayesian inference for cognitive modelsRCLW03 - Accelerating statistical inference and experimental design with machine learning
Lunch at Churchill CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Lunch at Churchill CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Afternoon TeaRCLW03 - Accelerating statistical inference and experimental design with machine learning
Afternoon TeaRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Formal Dinner at Sidney Sussex CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Formal Dinner at Sidney Sussex CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Morning CoffeeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Morning CoffeeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Title TBCRCLW03 - Accelerating statistical inference and experimental design with machine learning
Lunch at Churchill CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Lunch at Churchill CollegeRCLW03 - Accelerating statistical inference and experimental design with machine learning
Bayesian WorkflowRCLW03 - Accelerating statistical inference and experimental design with machine learning
Bayesian WorkflowRCLW03 - Accelerating statistical inference and experimental design with machine learning
Afternoon TeaRCLW03 - Accelerating statistical inference and experimental design with machine learning
Afternoon TeaRCLW03 - Accelerating statistical inference and experimental design with machine learning
Organiser's welcomeNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Real cubings and asymptotic conesNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Rothschild Public Lecture: Title TBCOGG - Operators, Graphs, Groups
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Pappus's theorem, the modular group, and patterns of geodesicsNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Title TBCNPCW06 - Non-positive curvature and applications
Organiser's welcomeNPCW06 - Non-positive curvature and applications
Lunch at Churchill CollegeNPCW06 - Non-positive curvature and applications
Welcome ReceptionNPCW06 - Non-positive curvature and applications
title and abstract tbaRCL - Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning
Lunch at Churchill CollegeNPCW06 - Non-positive curvature and applications
Morning CoffeeNPCW06 - Non-positive curvature and applications
Lunch at Churchill CollegeNPCW06 - Non-positive curvature and applications
Morning CoffeeNPCW06 - Non-positive curvature and applications
Lunch at Churchill CollegeNPCW06 - Non-positive curvature and applications
Lunch at Churchill CollegeNPCW06 - Non-positive curvature and applications
Kirk Public Lecture: Title TBCRCL - Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning
Rothschild Public Lecture: Immersion posterior: Meeting Frequentist Goals under Structural RestrictionsRCL - Representing, calibrating & leveraging prediction uncertainty from statistics to machine learning
Kirk Public Lecture: Title TBCOGG - Operators, Graphs, Groups
Welcome and IntroductionOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
TBCOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
TBCOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
Model Evaluations under Uncertain Ground TruthOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
TBCOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
TBCOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
TBCOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
TBCOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
Panel DiscussionOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
Final RemarksOFBW74 - Uncertainty in Machine Learning: Challenges and Opportunities
Rothschild Public Lecture: Title TBCBID - Quantum field theory with boundaries, impurities, and defects
Kirk Public Lecture: Title TBCBID - Quantum field theory with boundaries, impurities, and defects
MIPMIP2 - Follow on meeting: Modelling and inference for pandemic preparedness
MIPMIP2 - Follow on meeting: Modelling and inference for pandemic preparedness
MIPMIP2 - Follow on meeting: Modelling and inference for pandemic preparedness
MIPMIP2 - Follow on meeting: Modelling and inference for pandemic preparedness
MIPMIP2 - Follow on meeting: Modelling and inference for pandemic preparedness
Kirk Public Lecture: Title TBCGST - Geometric spectral theory and applications
Kirk Public Lecture: Title TBCCIF - Causal inference: From theory to practice and back again
Rothschild Public Lecture: Title TBCGST - Geometric spectral theory and applications
Please see above for contact details for this list. |
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Milla Kibble (Isaac Newton Institute).
Monday 02 June 2025, 10:00-10:05