論文表記の著者名
Yutaka Matsuo
東京大学Machine Learning2022–2026 LIVE
対象論文 26 本
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対象論文
論文一覧
- C-Voting: Confidence-Based Test-Time Voting without Explicit Energy Functions
- Does “Do Differentiable Simulators Give Better Policy Gradients?” Give Better Policy Gradients?
- Quantization-Aware Diffusion Models For Maximum Likelihood Training
- RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs
- SELF-HARMONY: LEARNING TO HARMONIZE SELF-SUPERVISION AND SELF-PLAY IN TEST-TIME REINFORCEMENT LEARNING
- Emergence of Exploration in Policy Gradient Reinforcement Learning via Retrying
- Emergent Analogical Reasoning in Transformers
- Unlocking Noise-Resistant Vision: Key Architectural Secrets for Robust Models Against Gaussian Noise
- Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form
- Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words
- Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence
- Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search
- Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
- Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties
- A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
- Multimodal Web Navigation with Instruction-Finetuned Foundation Models
- ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate
- Geometric-Averaged Preference Optimization for Soft Preference Labels
- A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation
- Interaction-Based Disentanglement of Entities for Object-Centric World Models
- End-to-end Training of Deep Boltzmann Machines by Unbiased Contrastive Divergence with Local Mode Initialization
- Regularization and Variance-Weighted Regression Achieves Minimax Optimality in Linear MDPs: Theory and Practice
- DreamSparse: Escaping from Plato’s Cave with 2D Diffusion Model Given Sparse Views
- Generalized Decision Transformer for Offline Hindsight Information Matching
- Langevin Autoencoders for Learning Deep Latent Variable Models
- Large Language Models are Zero-Shot Reasoners