Co-occurring keywords · papers mentioning both
Papers
Your Classifier Can Do More: Towards Balancing the Gaps in Classification, Robustness, and Generation
CVPR 2026
Non-Equilibrium Dynamics of Hybrid Continuous-Discrete Ground-State Sampling
ICLR 2025
Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning
ICLR 2025
CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
ICML 2024
Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
NeurIPS 2024
Proving Linear Mode Connectivity of Neural Networks via Optimal Transport
AISTATS 2024
Simultaneous embedding of multiple attractor manifolds in a recurrent neural network using constrained gradient optimization
NeurIPS 2023
StriderNet: A Graph Reinforcement Learning Approach to Optimize Atomic Structures on Rough Energy Landscapes
ICML 2023
Efficient Heuristic Search for M-Modes Inference
PGM 2020
Essentially No Barriers in Neural Network Energy Landscape
ICML 2018
On Sampling from the Gibbs Distribution with Random Maximum A-Posteriori Perturbations
NeurIPS 2013
Convergence and Energy Landscape for Cheeger Cut Clustering
NeurIPS 2012
Feature Selection Methods for Improving Protein Structure Prediction with Rosetta
NeurIPS 2007