Yair Schiff
9 papers · 2021–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(22)
🐣
Hot Topic Early Bird
🗃️
Keyword Collector
(51)
Venues
Top co-authors
Research topics
Deep Learning
(6)
Machine Learning
(6)
Models
(6)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Natural Language Processing
(2)
Generation
(2)
Learning Types
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
generative modeling
(3)
discrete diffusion
(2)
model selection
(1)
optimal transport
(1)
autoregressive generation
(1)
mutual information
(1)
probability measure
(1)
normalizing flow
(1)
distribution learning
(1)
generative model
(1)
diffusion model
(1)
latent representation
(1)
latent variable
(1)
disentangled representation
(1)
deep neural network
(1)
lyapunov exponent
(1)
energy-based model
(1)
controllable generation
(1)
variational inference
(1)
representation learning
(1)
Papers
Simple Guidance Mechanisms for Discrete Diffusion Models
ICLR 2025
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
ICML 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems
ICML 2024
Simple and Effective Masked Diffusion Language Models
NeurIPS 2024
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
ICML 2023
Learning with Stochastic Orders
ICLR 2023
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
ICML 2023
Semi-Parametric Inducing Point Networks and Neural Processes
ICLR 2023
Predicting Deep Neural Network Generalization with Perturbation Response Curves
NeurIPS 2021