Technical University of Munich

Seminar: Deep Learning for the Natural Sciences (5 ECTS)

Winter Semester 2024

List of potential papers

No.	Paper
1	Continuous PDE Dynamics Forecasting with Implicit Neural Representations
2	Neural Operator: Learning Maps Between Function Spaces
3	Equivariant Graph Neural Operator for Modeling 3D Dynamics
4	E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
5	Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics
6	Action Matching: Learning Stochastic Dynamics from Samples
7	ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
8	GenCast: Diffusion-based ensemble forecasting for medium-range weather
9	Aurora: A Foundation Model of the Atmosphere
10	Fine-Tuned Language Models Generate Stable Inorganic Materials as Text
11	FlowMM: Generating Materials with Riemannian Flow Matching
12	Spherical Channels for Modeling Atomic Interactions
13	MatterGen: a generative model for inorganic materials design
14	MatterSim: A Deep Learning Atomistic Model Across Elements, Temperatures and Pressures
15	Scaling deep learning for materials discovery
16	Highly accurate protein structure prediction with AlphaFold 2
17	Accurate structure prediction of biomolecular interactions with AlphaFold 3
18	DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
19	AlphaFold Meets Flow Matching for Generating Protein Ensembles
20	Real-time gravitational-wave science with neural posterior estimation
21	All-in-one simulation-based inference
22	LVM-Med: Learning Large-Scale Self-Supervised Vision Models for Medical Imaging via Second-order Graph Matching
23	BioCLIP: A Vision Foundation Model for the Tree of Life
24	KAN 2.0: Kolmogorov-Arnold Networks Meet Science
25	Discovering Symbolic Models from Deep Learning with Inductive Biases
26	Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Technical University of Munich

Links

Informatik IX
Computer Vision Group

News

GCPR / VMV 2024

Navigation

List of potential papers

Rechte Seite

Informatik IX
Computer Vision Group

News

GCPR / VMV 2024

Computer Vision GroupTUM School of Computation, Information and TechnologyTechnical University of Munich

Technical University of Munich

Links

Informatik IX Computer Vision Group

News

GCPR / VMV 2024

Navigation

List of potential papers

Rechte Seite

Informatik IX Computer Vision Group

News

GCPR / VMV 2024

Computer Vision Group
TUM School of Computation, Information and Technology
Technical University of Munich

Informatik IX
Computer Vision Group

Informatik IX
Computer Vision Group