:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ahn, Seokjun, Kim, Jungtaek, Cho, Minsu, Park, Jaesik
Format:	Preprint
Published:	2022
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2210.01021
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
by: Kim, Jungtaek, et al.
Published: (2023)

Spatially-Aware Transformer for Embodied Agents
by: Cho, Junmo, et al.
Published: (2024)

Density Ratio Estimation-based Bayesian Optimization with Semi-Supervised Learning
by: Kim, Jungtaek
Published: (2023)

Beyond Regrets: Geometric Metrics for Bayesian Optimization
by: Kim, Jungtaek
Published: (2024)

Compositional Monte Carlo Tree Diffusion for Extendable Planning
by: Yoon, Jaesik, et al.
Published: (2025)

Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
by: Kim, Hyeonah, et al.
Published: (2023)

Exploiting Preferences in Loss Functions for Sequential Recommendation via Weak Transitivity
by: Chung, Hyunsoo, et al.
Published: (2024)

Decoupled Sequence and Structure Generation for Realistic Antibody Design
by: Kim, Nayoung, et al.
Published: (2024)

Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
by: Kim, Minsu, et al.
Published: (2023)

Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization
by: Jun, Kwang-Sung, et al.
Published: (2024)

Adaptive Inference-Time Scaling via Cyclic Diffusion Search
by: Lee, Gyubin, et al.
Published: (2025)

MOFFlow: Flow Matching for Structure Prediction of Metal-Organic Frameworks
by: Kim, Nayoung, et al.
Published: (2024)

Pessimistic Backward Policy for GFlowNets
by: Jang, Hyosoon, et al.
Published: (2024)

Equity-Transformer: Solving NP-hard Min-Max Routing Problems as Sequential Generation with Equity Context
by: Son, Jiwoo, et al.
Published: (2023)

Monte Carlo Tree Diffusion for System 2 Planning
by: Yoon, Jaesik, et al.
Published: (2025)

Dr. Strategy: Model-Based Generalist Agents with Strategic Dreaming
by: Hamed, Hany, et al.
Published: (2024)

Inference-Time Scaling in Diffusion Models through Iterative Partial Refinement
by: Kang, Taegu, et al.
Published: (2026)

How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training
by: You, Jaeseong, et al.
Published: (2024)

Genetic-guided GFlowNets for Sample Efficient Molecular Optimization
by: Kim, Hyeonah, et al.
Published: (2024)

Identifying the Source of Generation for Large Language Models
by: Park, Bumjin, et al.
Published: (2024)

Learning SO(3)-Invariant Semantic Correspondence via Local Shape Transform
by: Park, Chunghyun, et al.
Published: (2024)

On scalable and efficient training of diffusion samplers
by: Kim, Minkyu, et al.
Published: (2025)

Energy-based generator matching: A neural sampler for general state space
by: Woo, Dongyeop, et al.
Published: (2025)

Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation
by: Kim, Youngjoong, et al.
Published: (2026)

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning
by: Lee, Kyowoon, et al.
Published: (2025)

3D Geometric Shape Assembly via Efficient Point Cloud Matching
by: Lee, Nahyuk, et al.
Published: (2024)

Ctx2TrajGen: Traffic Context-Aware Microscale Vehicle Trajectories using Generative Adversarial Imitation Learning
by: Jin, Joobin, et al.
Published: (2025)

DistMatch: Adaptive Binning via Distribution Matching for Robust Sequential Conformal Prediction
by: Menadjiev, Enver, et al.
Published: (2026)

Local Search GFlowNets
by: Kim, Minsu, et al.
Published: (2023)

TransDreamer: Reinforcement Learning with Transformer World Models
by: Chen, Chang, et al.
Published: (2022)

Generative Flows on Synthetic Pathway for Drug Design
by: Seo, Seonghwan, et al.
Published: (2024)

Data-Driven Sequential Sampling for Tail Risk Mitigation
by: Ahn, Dohyun, et al.
Published: (2025)

Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
by: Jo, Mingyu, et al.
Published: (2025)

MrSteve: Instruction-Following Agents in Minecraft with What-Where-When Memory
by: Park, Junyeong, et al.
Published: (2024)

Accelerating String-Key Learned Index Structures via Memoization-based Incremental Training
by: Kim, Minsu, et al.
Published: (2024)

Fair Class-Incremental Learning using Sample Weighting
by: Park, Jaeyoung, et al.
Published: (2024)

Incremental Correction in Dynamic Systems Modelled with Neural Networks for Constraint Satisfaction
by: Cho, Namhoon, et al.
Published: (2022)

Taking Shortcuts for Categorical VQA Using Super Neurons
by: Musacchio, Pierre, et al.
Published: (2026)

Learning-based Autonomous Oversteer Control and Collision Avoidance
by: Lee, Seokjun, et al.
Published: (2025)

3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction
by: Lee, Jongmin, et al.
Published: (2024)