Best Papers/ICLR

ICLR Best Papers

International Conference on Learning Representations

7 papers · 2021–2024

← ICLR Conference Info

🏆 2024(2)

Best Paper Award

Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations

Kadkhodaie et al.

DiffusionGeneralization

Best Paper Award

Learning Interactive Real-World Simulators

Yang et al.

SimulationWorld Models

🏆 2023(2)

Best Paper Award

DreamFusion: Text-to-3D using 2D Diffusion

Poole, Jain, Barron & Mildenhall

3DText-to-3D

Best Paper Award

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

Zhang et al.

GNNTheory

🏆 2021(3)

Outstanding Paper Award

EigenGame: PCA as a Nash Equilibrium

Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

game theoryoptimizationPCA

Outstanding Paper Award

Learning Mesh-Based Simulation with Graph Networks

Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter Battaglia

graph neural networkssimulationphysics

Outstanding Paper Award

Score-Based Generative Modeling through Stochastic Differential Equations

Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

generative modelsdiffusionscore matchingSDE

Best Papers/ICLR

ICLR Best Papers

International Conference on Learning Representations

7 papers · 2021–2024

← ICLR Conference Info

🏆 2024(2)

Best Paper Award

Generalization in Diffusion Models Arises from Geometry-Adaptive Harmonic Representations

Kadkhodaie et al.

DiffusionGeneralization

Best Paper Award

Learning Interactive Real-World Simulators

Yang et al.

SimulationWorld Models

🏆 2023(2)

Best Paper Award

DreamFusion: Text-to-3D using 2D Diffusion

Poole, Jain, Barron & Mildenhall

3DText-to-3D

Best Paper Award

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

Zhang et al.

GNNTheory

🏆 2021(3)

Outstanding Paper Award

EigenGame: PCA as a Nash Equilibrium

Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

game theoryoptimizationPCA

Outstanding Paper Award

Learning Mesh-Based Simulation with Graph Networks

Tobias Pfaff, Meire Fortunato, Alvaro Sanchez-Gonzalez, Peter Battaglia

graph neural networkssimulationphysics

Outstanding Paper Award

Score-Based Generative Modeling through Stochastic Differential Equations

Yang Song, Jascha Sohl-Dickstein, Diederik P. Kingma, Abhishek Kumar, Stefano Ermon, Ben Poole

generative modelsdiffusionscore matchingSDE