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← Models
Deep Learning
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Models
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Generative Models
6,381 papers
Papers per year
2003: 2
2004: 1
2006: 3
2007: 3
2008: 6
2009: 5
2010: 11
2011: 14
2012: 17
2013: 23
2014: 17
2015: 34
2016: 64
2017: 150
2018: 286
2019: 566
2020: 626
2021: 827
2022: 730
2023: 1027
2024: 897
2025: 824
2026: 248
Papers
Simplified and Generalized Masked Diffusion for Discrete Data
NIPS 2024
Mixture of Tokens: Continuous MoE through Cross-Example Aggregation
NIPS 2024
GENOT: Entropic (Gromov) Wasserstein Flow Matching with Applications to Single-Cell Genomics
NIPS 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
NIPS 2024
Markovian Flow Matching: Accelerating MCMC with Continuous Normalizing Flows
NIPS 2024
Learning Optimal Lattice Vector Quantizers for End-to-end Neural Image Compression
NIPS 2024
GFlowNet Assisted Biological Sequence Editing
NIPS 2024
Pessimistic Backward Policy for GFlowNets
NIPS 2024
Trajectory Flow Matching with Applications to Clinical Time Series Modelling
NIPS 2024
VFIMamba: Video Frame Interpolation with State Space Models
NIPS 2024
Memorize What Matters: Emergent Scene Decomposition from Multitraverse
NIPS 2024
Learning Superconductivity from Ordered and Disordered Material Structures
NIPS 2024
3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization
NIPS 2024
Hamiltonian Score Matching and Generative Flows
NIPS 2024
NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory
NIPS 2024
Unsupervised Discovery of Formulas for Mathematical Constants
NIPS 2024
Rad-NeRF: Ray-decoupled Training of Neural Radiance Field
NIPS 2024
High Rank Path Development: an approach to learning the filtration of stochastic processes
NIPS 2024
Jointly Modeling Inter- & Intra-Modality Dependencies for Multi-modal Learning
NIPS 2024
Nuclear Norm Regularization for Deep Learning
NIPS 2024
Deep Support Vectors
NIPS 2024
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos
NIPS 2024
Expectile Regularization for Fast and Accurate Training of Neural Optimal Transport
NIPS 2024
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models
NIPS 2024
APEBench: A Benchmark for Autoregressive Neural Emulators of PDEs
NIPS 2024
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