Schiff, Yair

23 publications

NeurIPS 2025 Encoder-Decoder Diffusion Language Models for Efficient Training and Inference Marianne Arriola, Yair Schiff, Hao Phung, Aaron Gokaslan, Volodymyr Kuleshov

NeurIPS 2025 Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang, Yair Schiff, Subham Sekhar Sahoo, Volodymyr Kuleshov

ICLRW 2025 Remasking Discrete Diffusion Models with Inference-Time Scaling Guanghan Wang, Yair Schiff, Subham Sekhar Sahoo, Volodymyr Kuleshov

ICLR 2025 Simple Guidance Mechanisms for Discrete Diffusion Models Yair Schiff, Subham Sekhar Sahoo, Hao Phung, Guanghan Wang, Sam Boshar, Hugo Dalla-torre, Bernardo P de Almeida, Alexander M Rush, Thomas Pierrot, Volodymyr Kuleshov

ICLRW 2024 Advancing Dna Language Models: The Genomics Long-Range Benchmark Chia Hsiang Kao, Evan Trop, McKinley Polen, Yair Schiff, Bernardo P de Almeida, Aaron Gokaslan, Thomas Pierrot, Volodymyr Kuleshov

ICML 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

ICMLW 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

ICMLW 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

ICMLW 2024 Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

ICML 2024 DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez

NeurIPS 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T Chiu, Alexander Rush, Volodymyr Kuleshov

ICMLW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov

ICMLW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Edgar Mariano Marroquin, Alexander M Rush, Yair Schiff, Justin T Chiu, Volodymyr Kuleshov

NeurIPSW 2024 Simple and Effective Masked Diffusion Language Models Subham Sekhar Sahoo, Marianne Arriola, Aaron Gokaslan, Yair Schiff, Edgar Mariano Marroquin, Justin T Chiu, Alexander M Rush, Volodymyr Kuleshov

ICML 2023 InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov

ICLR 2023 Learning with Stochastic Orders Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh

ICML 2023 Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov

ICLR 2023 Semi-Parametric Inducing Point Networks and Neural Processes Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov

ECML-PKDD 2022 Cloud-Based Real-Time Molecular Screening Platform with MolFormer Brian Belgodere, Vijil Chenthamarakshan, Payel Das, Pierre L. Dognin, Toby Kurien, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young

JAIR 2022 Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere

TMLR 2022 Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks David Alvarez-Melis, Yair Schiff, Youssef Mroueh

NeurIPS 2021 Predicting Deep Neural Network Generalization with Perturbation Response Curves Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

NeurIPSW 2020 Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics Yair Schiff, Payel Das, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy