Formal & Physical Sciences AI — Models & ResearchENPaul Riechers - The shape of beliefs and abstraction in neural networks - IPAM at UCLAPaul Riechers (Simplex)September 4, 2026 54 min★ ★ ★ ★ ☆ 4/5InterpretabilityNeural NetworksBelief Updating
Formal & Physical Sciences AI — Models & ResearchENMahdi Soltanolkotabi - Interpreting Generative Models for Better Steering: Generation to VerifiableMahdi SoltanolkotabiSeptember 3, 2026 42 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsInterpretabilitySparse Autoencoders
Formal & Physical Sciences MathematicsENGyorgy Turan - Error-correcting codes: a sandbox for learning, interpretability and optimizationGyorgy TuranSeptember 3, 2026 45 min★ ★ ★ ★ ☆ 4/5Error-Correcting CodesInterpretabilityDeep Learning
Formal & Physical Sciences AI — News & ApplicationsENGitta Kutyniok - From Mathematical Guarantees to Computational Limits of AI InterpretabilityGitta KutyniokSeptember 3, 2026 48 min★ ★ ★ ★ ☆ 4/5InterpretabilityMathematical GuaranteesComputational Limits
Formal & Physical Sciences AI — News & ApplicationsENGal Mishne - From Explanations to Mechanisms: Interpreting Computation in Graph Neural NetworksGal MishneSeptember 3, 2026 52 min★ ★ ★ ★ ☆ 4/5Graph Neural NetworksInterpretabilityMechanistic Interpretability
Formal & Physical Sciences AI — Models & ResearchENDmitry Vaintrob - Statistical theory of learning sparse structure - IPAM at UCLADmitry VaintrobSeptember 3, 2026 46 min★ ★ ★ ★ ☆ 4/5Sparse AutoencodersInterpretabilityMean Field Theory
Formal & Physical Sciences AI — Models & ResearchENYusu Wang - Neural Network Generalization through an algorithmic lens - IPAM at UCLAYusu WangSeptember 2, 2026 50 min★ ★ ★ ★ ☆ 4/5Graph Neural NetworksOut-of-Distribution GeneralizationAlgorithmic Alignment
Formal & Physical Sciences Philosophy & EthicsENSam Eisenstat - Concepts, information, and objectivity - IPAM at UCLASam EisenstatSeptember 2, 2026 44 min★ ★ ★ ★ ☆ 4/5InterpretabilityLatent VariablesInformation Theory
Formal & Physical Sciences AI — News & ApplicationsENElias Bareinboim - Towards Causal AI: From Mechanism to Understanding - IPAM at UCLAElias BareinboimSeptember 2, 2026 54 min★ ★ ★ ★ ☆ 4/5Causal InferenceAICounterfactuals
Formal & Physical Sciences AI — Models & ResearchENRyan Cotterell - Two views of a language model - IPAM at UCLARyan CotterellSeptember 1, 2026 45 min★ ★ ★ ★ ☆ 4/5Language ModelsExpressivitySuccinctness
Formal & Physical Sciences AI — Models & ResearchENMax Tegmark - Neural network interpretability: symmetry, geometry and formal verificationMax TegmarkSeptember 1, 2026 51 min★ ★ ★ ★ ☆ 4/5InterpretabilityNeural NetworksSymmetry
Formal & Physical Sciences AI — News & ApplicationsENJosh Batson - Interpretability: From Art Towards Science - IPAM at UCLAJosh BatsonSeptember 1, 2026 43 min★ ★ ★ ★ ☆ 4/5InterpretabilityNeural NetworksMechanistic Interpretability
Formal & Physical Sciences AI — Models & ResearchENMarina Meila - Contrastive Explanations: a geometric and topological view - IPAM at UCLAMarina MeilaAugust 31, 2026 53 min★ ★ ★ ★ ☆ 4/5Counterfactual ExplanationsInterpretabilityMorse Theory
Formal & Physical Sciences AI — News & ApplicationsENBeen Kim - Changing Shapes: Interpretability, AI, and the Future of Human Agency - IPAM at UCLABeen KimAugust 31, 2026 40 min★ ★ ★ ★ ☆ 4/5InterpretabilityAI SafetyHuman Agency
Formal & Physical Sciences MathematicsENMiriam Kuzbary - 0-Surgeries on Links - IPAM at UCLAMiriam KuzbaryAugust 27, 2026 31 min★ ★ ★ ★ ☆ 4/5Low-Dimensional TopologyDehn Surgery3-Manifolds
Formal & Physical Sciences MathematicsENViktória Földvári - Maximal tb Representatives of Double Twist Knots - IPAM at UCLAViktória FöldváriAugust 26, 2026 23 min★ ★ ★ ★ ☆ 4/5Legendrian KnotsContact GeometryThurston-Bennequin Invariant
Formal & Physical Sciences MathematicsENYasemin Yildirim - Constructing and classifying Legendrian doubles - IPAM at UCLAYasemin YildirimAugust 25, 2026 20 min★ ★ ★ ★ ☆ 4/5Legendrian KnotsSymplectic GeometryContact Geometry
Formal & Physical Sciences MathematicsENStephen Becker - Some new bi-fidelity methods for UQ and optimization - IPAM at UCLAStephen BeckerMay 22, 2026 44 min★ ★ ★ ★ ☆ 4/5Bi-FidelityUncertainty QuantificationOptimization
Applied Sciences & Engineering PhysicsENSimon Van Mulders - Model-aided TCV operation through routine pre-shot, real-time and post-shot...Simon Van MuldersMay 22, 2026 41 min★ ★ ★ ★ ☆ 4/5TokamakPlasma ControlRAPTOR
Formal & Physical Sciences AI — Models & ResearchENShancong Mou - Derivative-Informed Training of Neural Operators on the Fly - IPAM at UCLAShancong MouMay 22, 2026 39 min★ ★ ★ ★ ☆ 4/5Neural OperatorsDerivative-Informed TrainingPDE-Constrained Optimization
Applied Sciences & Engineering PhysicsENSophia Henneberg - Optimization of Quasi-Axisymmetric Stellarator- ; Tokamak Hybrids - IPAM at UCLASophia HennebergMay 21, 2026 45 min★ ★ ★ ★ ☆ 4/5StellaratorTokamakFusion
Formal & Physical Sciences PhysicsENCory Hauck - Approximate entropy-based moment closures - IPAM at UCLACory HauckMay 21, 2026 42 min★ ★ ★ ★ ☆ 4/5Moment ClosuresEntropyKinetic Theory
Applied Sciences & Engineering PhysicsENAndy Rothstein - AI-Driven Event Prediction and Fault-Resilient Plasma Control on DIII-DAndy RothsteinMay 21, 2026 40 min★ ★ ★ ★ ☆ 4/5TokamakPlasma ControlMachine Learning
Formal & Physical Sciences PhysicsENYunan Yang - Adjoint Direct Simulation Monte Carlo for Optimization and Control of Rarefied FlowsYunan YangMay 20, 2026 41 min★ ★ ★ ★ ☆ 4/5DSMCBoltzmann EquationAdjoint Method
Applied Sciences & Engineering EnergyENRebekah White - Surrogate-Based Optimization of Magnetized Liner Inertial Fusion Target DesignRebekah WhiteMay 20, 2026 40 min★ ★ ★ ★ ☆ 4/5MagLIFBayesian OptimizationMulti-Fidelity
Applied Sciences & Engineering AI — News & ApplicationsENBrian Spears - The Genesis Mission: AI for US Science and Security Transformation - IPAM at UCLABrian SpearsMay 20, 2026 32 min★ ★ ★ ★ ☆ 4/5Genesis MissionAI for ScienceNational Security
Formal & Physical Sciences PhysicsENMichael Abdelmalik - A Multi-Fidelity Framework for Rarefied Dynamics - IPAM at UCLAMichael AbdelmalikMay 19, 2026 41 min★ ★ ★ ★ ☆ 4/5Rarefied Gas DynamicsBoltzmann EquationMoment Closures
Applied Sciences & Engineering AI — Models & ResearchENJeff Schneider - Machine Learning for Scenario Design and Plasma Control in TokamaksJeff SchneiderMay 19, 2026 47 min★ ★ ★ ★ ☆ 4/5Reinforcement LearningBayesian OptimizationTokamak
Applied Sciences & Engineering PhysicsENPablo Rodriguez-Fernandez - Accelerate core plasma design/optimization w/ surrogate-assist transportPablo Rodriguez-FernandezMay 18, 2026 42 min★ ★ ★ ★ ☆ 4/5FusionPlasma PhysicsSurrogate Modeling
Applied Sciences & Engineering PhysicsENMark Kostuk - Mixed-Fidelity, Multi-Model Optimization within the DIII-D Digital Twin - IPAM at UCLAMark KostukMay 18, 2026 53 min★ ★ ★ ★ ☆ 4/5Digital TwinFusion PlasmaOptimization
Formal & Physical Sciences MathematicsENFlorian Schaefer - Information geometric regularization for sensitivities of flows with shocksFlorian SchaeferMay 18, 2026 45 min★ ★ ★ ★ ☆ 4/5Information GeometryShock CapturingPDE Regularization
Formal & Physical Sciences AI — Models & ResearchENBethany Lusch - Scalable graph-based surrogate models for unstructured meshes - IPAM at UCLABethany LuschMay 18, 2026 48 min★ ★ ★ ★ ☆ 4/5Graph Neural NetworksSurrogate ModelsUnstructured Meshes
Formal & Physical Sciences PhysicsENPablo Rodriguez-Fernandez - Designing tokamak core plasmas from scaling laws to first-principles simPablo Rodriguez-FernandezMay 6, 2026 40 min★ ★ ★ ★ ☆ 4/5TokamakFusionPlasma Physics
Formal & Physical Sciences PhysicsENAlan Kaptanoglu - Recent work on stage-1 and stage-2 stellarator optimization - IPAM at UCLAAlan KaptanogluMay 5, 2026 51 min★ ★ ★ ★ ☆ 4/5StellaratorMHD EquilibriumCoil Optimization
Applied Sciences & Engineering AI — Models & ResearchENTim Slendebroek - From scaling laws to the design space: How we design machines we cannot yet buildTim SlendebroekMay 4, 2026 32 min★ ★ ★ ★ ☆ 4/5FusionTokamakIntegrated Modeling
Applied Sciences & Engineering EnergyENCami Collins - Multi-Fidelity Integrated Modeling for Fusion Device Design with FREDA - IPAM at UCLACami CollinsMay 4, 2026 46 min★ ★ ★ ★ ☆ 4/5FusionIntegrated ModelingMulti-Fidelity
Applied Sciences & Engineering AI — Models & ResearchENShantenu Jha - All (Foundation) Models are wrong. Some (Foundation) Models can be made useful.Shantenu JhaApril 17, 2026 42 min★ ★ ★ ★ ☆ 4/5Foundation ModelsFusionGenesis Mission
Formal & Physical Sciences MathematicsENJingwei Hu - A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau SystemJingwei HuApril 17, 2026 47 min★ ★ ★ ★ ☆ 4/5Vlasov-Maxwell-LandauParticle MethodNeural Networks
Formal & Physical Sciences AI — Models & ResearchENGuannan Zhang - Generative diffusion models learning stochastic flow maps in particle-based simsGuannan ZhangApril 17, 2026 45 min★ ★ ★ ★ ☆ 4/5Diffusion ModelsFokker-PlanckPlasma Physics
Applied Sciences & Engineering AI — Models & ResearchENBenjamin Sanderse - Structure-preserving SciML for discovering ODEs and SDEs in fluid flowsBenjamin SanderseApril 16, 2026 44 min★ ★ ★ ★ ☆ 4/5Scientific Machine LearningClosure ProblemEntropy Stability
