Ethan Fetaya

Computer Science · Physical Sciences

19h-index1.9kcitations83works0.72yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(11), Anomaly Detection Techniques and Applications(11), Machine Learning and Data Classification(10), Neural Networks and Applications(9), Generative Adversarial Networks and Image Synthesis(9)

Publications83 total

SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling
ArXiv.org·2026Open Access
SSNAPS: Audio-Visual Separation of Speech and Background Noise with Diffusion Inverse Sampling
arXiv (Cornell University)·2026Open Access
LR-DWM: Efficient Watermarking for Diffusion Language Models
ArXiv.org·2026Open Access
LR-DWM: Efficient Watermarking for Diffusion Language Models
arXiv (Cornell University)·2026Open Access
Beyond Transcription: Mechanistic Interpretability in ASR
Underline Science Inc.·2026Open Access
1064 - Beyond Transcription: Mechanistic Interpretability in ASR
Underline Science Inc.·2026Open Access
Questioning the Stability of Visual Question Answering
arXiv (Cornell University)·2025Open Access
Expert Merging in Sparse Mixture of Experts with Nash Bargaining
arXiv (Cornell University)·2025Open Access
From Segments to Concepts: Interpretable Image Classification via Concept-Guided Segmentation
arXiv (Cornell University)·2025Open Access
Drax: Speech Recognition with Discrete Flow Matching
arXiv (Cornell University)·2025Open Access
Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior
arXiv (Cornell University)·2025Open Access
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
2025· 1 cited
Few-Shot Speech Deepfake Detection Adaptation with Gaussian Processes
arXiv (Cornell University)·2025Open Access
Electromyographic typing gesture classification dataset for neurotechnological human-machine interfaces
Scientific Data·2025Open Access
Go Beyond Your Means: Unlearning with Per-Sample Gradient Orthogonalization
ArXiv.org·2025Open Access
Adversarial Robustness in Parameter-Space Classifiers
arXiv (Cornell University)·2025Open Access
Inverse Problem Sampling in Latent Space Using Sequential Monte Carlo
arXiv (Cornell University)·2025Open Access
Conformal Prediction of Classifiers with Many Classes based on Noisy Labels
arXiv (Cornell University)·2025Open Access
Low-Latency Single-Microphone Speaker Separation with Temporal Convolutional Networks Using Speaker Representations
2024
Evaluation Metrics for Generative Models: An Empirical Study
Machine Learning and Knowledge Extraction·2024· 13 citedOpen Access
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Frequent Co-authors

Gal Chechik(18), Aviv Navon(13), Richard S. Zemel(10), Haggai Maron(10), Idan Achituve(10), Aviv Shamsian(9), Renjie Liao(6), Dan Levi(5), Raquel Urtasun(5), Shimon Ullman(4), Lisa Zhang(3), Or Litany(3), Gregory Rosenblatt(3), William E. Byrd(3), Thomas Kipf(2), Kuan-Chieh Wang(2), Max Welling(2), Ita Lifshitz(2), Noa Garnett(2), Liran Gispan(2)