Itai Gat
20 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6) 🏃 Academic Marathon (5)
🌉
Interdisciplinary Bridge
🐝
Cross-Pollinator
(5)
🧭
Keyword Pioneer
🏆
Grand Slam
👑
Triple Crown
🤝
Dynamic Duo
(10)
🔥
Unstoppable
(6)
💎
Century Club
(20)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(72)
❓
The Questioner
(3)
Conferences
NIPS (6)
ICLR (4)
AAAI (3)
ACL (2)
ICML (2)
INTERSPEECH (2)
IJCNLP (1)
Top co-authors
Keywords
visual question answering
(4)
data augmentation
(3)
log-sobolev inequality
(3)
fisher information
(2)
speech language model
(2)
functional entropy
(2)
self-supervised learning
(1)
video synthesis
(1)
transfer learning
(1)
code generation
(1)
multi-modal learning
(1)
conditional generation
(1)
feature attribution
(1)
flow matching
(1)
signal transformation
(1)
multimodal learning
(1)
temporal alignment
(1)
model evaluation
(1)
model interpretability
(1)
neural network optimization
(1)
Papers
Generator Matching: Generative modeling with arbitrary Markov processes
ICLR 2025
Exact Byte-Level Probabilities from Tokenized Language Models for FIM-Tasks and Model Ensembles
ICLR 2025
Flow Matching with General Discrete Paths: A Kinetic-Optimal Perspective
ICLR 2025
Discrete Flow Matching
NIPS 2024
Layer Collaboration in the Forward-Forward Algorithm
AAAI 2024
Diverse and Aligned Audio-to-Video Generation via Text-to-Video Model Adaptation
AAAI 2024
D-Flow: Differentiating through Flows for Controlled Generation
ICML 2024
Masked Audio Generation using a Single Non-Autoregressive Transformer
ICLR 2024
Adaptation of Text-Conditioned Diffusion Models for Audio-to-Image Generation
INTERSPEECH 2023
Simple and Controllable Music Generation
NIPS 2023
Textually Pretrained Speech Language Models
NIPS 2023
Augmentation Invariant Discrete Representation for Generative Spoken Language Modeling
ACL 2023
Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis
INTERSPEECH 2023
Latent Space Explanation by Intervention
AAAI 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds
NIPS 2022
A Functional Information Perspective on Model Interpretation
ICML 2022
Perceptual Score: What Data Modalities Does Your Model Perceive?
NIPS 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
IJCNLP 2021
Are VQA Systems RAD? Measuring Robustness to Augmented Data with Focused Interventions
ACL 2021
Removing Bias in Multi-modal Classifiers: Regularization by Maximizing Functional Entropies
NIPS 2020