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CRUNCH Group: Home of Math + Machine Learning + X @UC2ZZB80udkRvWQ4N3a8DOKQ@youtube.com

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This channel puts all the seminars that are weekly held at t


01:35:58
PINNs for magnetostatic field simulation || Safe ML via Embedded Over approximation || Sep 20, 2024
01:04:38
Multi-Fidelity Modeling for Structural Dynamics || Sep. 6, 2024
58:03
Martingale Neural Network || Aug. 30, 2024
01:44:42
Isogeometric analysis and deep operator learning || Neural PDEs for Robot Motion || Aug. 23, 2024
52:52
A Resolution Independent Neural Operator || Aug 16, 2024
01:09:19
Simulating large-scale from the molecular scale with machine learning || Aug 9, 2024
01:03:45
KFAC for PINNs || Aug 2, 2024
02:15:43
Multiscale particle simulation || Bind the Cross-Section of Returns || July 26, 2024
01:49:40
PINNs in dynamic linear elasticity || DeepONet for 3D field predictions || Seminar on July 12, 2024
02:09:23
Unconstrained minimization for regression|| Sampling with Langevin Dynamics||Seminar on July 5, 2024
01:37:08
Simulation-Calibrated SciML || HPINNs: You need curvature! || Seminar on June 28, 2024
01:01:22
FastVPINNs || Seminar on June 21, 2024
48:23
Score-based Diffusion Models || Seminar on June 14, 2024
55:16
Mathematical Foundations of Deep Learning for PDEs || Seminar on June 7, 2024
02:20:08
optimization process of PINNs|| Deep Information Bottleneck || Seminar on May 31, 2024
01:49:34
Physics-enhanced deep surrogate models|| Universal-PINNs for QSP || Seminar on May 24, 2024
01:50:06
Spatiotemporal Learning of Cell Fate||Discovering slow manifolds with PINNs||Seminar on May 10, 2024
52:01
Integrating PDE operators into NN architecture || Seminar on May 3, 2024
01:59:08
Structure-conforming Operator Learning||Diffusion Models and PDE solvers|| Seminar on April 26, 2024
02:00:55
Tackling the Curse of Dimensionality || PirateNets || Seminar on April 19, 2024
01:54:12
Thermodynamics of Learning || Resolution invariant deep operator network|| Seminar on April 12, 2024
01:43:31
Computational Medicine || U-Net-PINN for 3D lithographic simulations || Seminar on April 5, 2024
01:10:32
PINNs in Modeling Fracture || Seminar on March 29, 2024
02:03:32
Domain decomposition||Physics-based methods in computational cardiology|| Seminar on March 22, 2024
01:00:01
A python Module for TFC || Seminar on March 15, 2024
02:35:26
PINNs vs. FEM || On Flows and diffusions || Seminar on March 8, 2024
01:07:13
Lax pairs informed neural networks || Seminar on March 1, 2024
01:01:10
Density PINNs for Cell Biology || Seminar on February 23, 2024
01:18:45
DeepONet Based Preconditioning Strategies || February 16, 2024
48:31
Neural oscillators for generalization of PINNs || February 9, 2024
01:57:33
SNIP for discovery of mathematics ||Surrogate Modeling of Chemical Kinetics ||Seminar on Feb 2, 2024
01:09:11
PINNs for Quantum Control || Seminar on January 26, 2024
01:07:55
U-Net Enhanced Deep Operator Network || Seminar on January 19, 2024
01:48:25
Deep Operator Networks in Astronomy problem || PINNs for phonon Boltzmann || Seminar on Jan 12, 2024
02:04:49
Neural Operator Enhanced PINNs || Physics-Informed Parallel NNs || Seminar on January 5, 2024
01:55:11
Symbolic regression || ML for quality control || Seminar on December 8, 2023
02:01:06
Martingale based DNNs || Whetted Automatic Differentiation || Seminar on December 1, 2023
01:45:42
PINNs for hydrodynamic systems || Adaptive sampling for PINNs || Seminar on November 17, 2023
01:16:09
In-Context Operator Networks || Seminar on November 10, 2023
01:29:59
Navier-Stokes by PINNs || Physics Informed Reinforcement Learning || Seminar on November 3, 2023
01:45:59
Feature Exploration Strategies through LLMs || Language Models || Seminar on October 27, 2023
01:48:20
New architectures for DeepONet || Ehnacing ML with Physics || Seminar on October 20, 2023
57:57
Nonlinear Mode Decomposition || Gradient-enhanced PINNs || Seminar on October 13, 2023
02:12:59
Deep learning for Inverse Problems || PINNs for Interface Problems || Seminar on October 6, 2023
01:19:09
Temporal Dynamics in Training Spiking Neural Networks || Seminar on September 29, 2023
01:47:55
NNs to detect arteriovenous fistula stenosis || DeepONets || Seminar on September 22, 2023
01:13:50
Multi-scale operator learning || Fourier-MIONet || Seminar on September 15, 2023
01:34:19
Operators & Preconditioners || Hybrid Decoder-DeepONet || Seminar on September 8, 2023
01:20:58
Out-of-distribution in neural operators || Seminar on September 1, 2023
01:03:40
ChatGPT in Science || Seminar on August 25, 2023
01:41:28
PINNs for Nuclear power plants || GPT-PINNs || Seminar on August 18, 2023
02:17:54
PINNs in GPR || PINNs and neural operators for diesel engines || Seminar on August 12, 2023
01:44:06
PINNs for non-smooth PDEs || Reliability of Neural Operator Surrogates || Seminar on August 4, 2023
02:18:17
Neural Inverse Operators || Gradient-Annihilated PINNs || Seminar on July 29, 2023
01:39:38
Adaptive Sampling for PINNs || PINNs in Mechanics Neural Networks || Seminar on July 21, 2023
01:51:17
Residual-based attention in PINNs || Neural Operators enrichment || Seminar on July 14, 2023
01:42:42
Data-driven modeling for crowd dynamics || Learning Dynamics of COVID-19 || Seminar on July 7, 2023
02:16:32
Condensation of NN || Seperable PINNs || Seminar on: February 3, 2023
01:41:01
Neural architecture search in PINNs || Universal PINNs || Seminar on June 30, 2023
01:51:52
Stabilization schemes || Physics-informed Random Projection NNs || Seminar on June 23, 2023