PaperHub

Stefano Ermon

~Stefano_Ermon1

56
论文总数
28.0
年均投稿
5.7
平均评分
接收情况37/56
会议分布
ICLR
33
NeurIPS
16
ICML
5
COLM
2

发表论文 (56 篇)

202529

7.8
3

Inductive Moment Matching

ICML 2025Oral
5.0
4

Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation

ICLR 2025Rejected
6.4
4

Preference-Guided Diffusion for Multi-Objective Offline Optimization

NeurIPS 2025Poster
6.8
5

Training-Free Safe Denoisers for Safe Use of Diffusion Models

NeurIPS 2025Poster
5.5
4

ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts

ICML 2025Poster
5.8
4

Data Unlearning in Diffusion Models

ICLR 2025Poster
5.0
4

Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation

ICLR 2025Rejected
5.5
4

Scaling Probabilistic Circuits via Monarch Matrices

ICML 2025Poster
6.2
5

ExPLoRA: Parameter-Efficient Extended Pre-Training to Adapt Vision Transformers under Domain Shifts

ICLR 2025Rejected
4.8
4

Bellman Diffusion: Generative Modeling as Learning a Linear Operator in the Distribution Space

ICLR 2025Rejected
6.3
4

TFG-Flow: Training-free Guidance in Multimodal Generative Flow

ICLR 2025Poster
5.3
4

Smooth Probabilistic Interpolation Benefits Generative Modeling for Discrete Graphs

ICLR 2025Rejected
6.0
5

TabDiff: a Mixed-type Diffusion Model for Tabular Data Generation

ICLR 2025Poster
4.3
4

Nonmyopic Bayesian Optimization in Dynamic Cost Settings

ICLR 2025Rejected
6.1
4

Smooth Interpolation for Improved Discrete Graph Generative Models

ICML 2025Poster
7.3
4

GeoAda: Efficiently Finetune Geometric Diffusion Models with Equivariant Adapters

NeurIPS 2025Poster
3.5
4

Mitigating Embedding Collapse in Diffusion Models for Categorical Data

ICLR 2025withdrawn
5.5
4

G2D2: Gradient-guided Discrete Diffusion for image inverse problem solving

ICLR 2025Rejected
4.5
4

CPSample: Classifier Protected Sampling for Guarding Training Data During Diffusion

ICLR 2025Poster
5.5
3

Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints

ICML 2025Poster
6.8
4

Energy-Based Diffusion Language Models for Text Generation

ICLR 2025Poster
6.3
3

Sample Efficient Preference Alignment in LLMs via Active Exploration

COLM 2025Poster
5.0
4

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

ICLR 2025Poster
5.5
4

Sharpe Ratio-Guided Active Learning for Preference Optimization in RLHF

COLM 2025Poster
5.7
3

Consistency Flow Matching: Defining Straight Flows with Velocity Consistency

ICLR 2025Rejected
4.0
4

Trans4D: Realistic Geometry-Aware Transition for Compositional Text-to-4D Synthesis

ICLR 2025withdrawn
7.1
5

Exploring Diffusion Transformer Designs via Grafting

NeurIPS 2025Oral
5.0
3

Efficient Scaling of Diffusion Transformers for Text-to-Image Generation

ICLR 2025Rejected
5.3
4

SSIF: Physics-Inspired Implicit Representations for Spatial-Spectral Image Super-Resolution

ICLR 2025Rejected

202427

6.0
4

SequenceMatch: Imitation Learning for Autoregressive Sequence Modelling with Backtracking

ICLR 2024Poster
7.0
3

TrAct: Making First-layer Pre-Activations Trainable

NeurIPS 2024Poster
6.6
5

Discrete Diffusion Language Modeling by Estimating the Ratios of the Data Distribution

ICLR 2024Rejected
5.4
5

Self-Refining Diffusion Samplers: Enabling Parallelization via Parareal Iterations

NeurIPS 2024Poster
2.3
3

Strided Transformers for Partially-Parallelized Inference

ICLR 2024withdrawn
7.0
4

Denoising Diffusion Bridge Models

ICLR 2024Poster
4.5
4

Segment Any Change

NeurIPS 2024Poster
4.8
4

Multi-Image Zero-Shot Subject Generation for Visual Storytelling

ICLR 2024withdrawn
8.3
4

Convolutional Differentiable Logic Gate Networks

NeurIPS 2024Oral
6.0
4

Equivariant Graph Neural Operator for Modeling 3D Dynamics

ICLR 2024Rejected
6.0
4

Geometric Trajectory Diffusion Models

NeurIPS 2024Poster
6.5
4

Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes

NeurIPS 2024Poster
5.0
3

Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms

NeurIPS 2024Poster
6.3
4

Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing

ICLR 2024Poster
5.8
4

Newton Losses: Using Curvature Information for Learning with Differentiable Algorithms

ICLR 2024Rejected
5.6
5

GeoLLM: Extracting Geospatial Knowledge from Large Language Models

ICLR 2024Poster
6.0
4

MADiff: Offline Multi-agent Learning with Diffusion Models

NeurIPS 2024Poster
6.0
3

Language Model Detectors Are Easily Optimized Against

ICLR 2024Poster
5.4
5

MADiff: Offline Multi-agent Learning with Diffusion Models

ICLR 2024Rejected
6.3
4

DiffusionSat: A Generative Foundation Model for Satellite Imagery

ICLR 2024Poster
6.0
3

PaGoDA: Progressive Growing of a One-Step Generator from a Low-Resolution Diffusion Teacher

NeurIPS 2024Poster
6.3
4

TFG: Unified Training-Free Guidance for Diffusion Models

NeurIPS 2024Spotlight
6.5
4

Consistency Trajectory Models: Learning Probability Flow ODE Trajectory of Diffusion

ICLR 2024Poster
5.3
4

Generative Fractional Diffusion Models

NeurIPS 2024Poster
5.5
4

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization

NeurIPS 2024Poster
4.3
4

SSIF: Learning Continuous Image Representation for Spatial-Spectral Super-Resolution

ICLR 2024withdrawn
6.5
4

Manifold Preserving Guided Diffusion

ICLR 2024Poster