Yair Schiff

Clock Diffusion: Efficient Semi-Autoregressive Continuous Diffusion Language Models

Yair Schiff^*, Omer Belhasin, Roy Uziel, Matan Rusanovsky, Ran Zilberstein, Marianne Arriola, Gilad Turok, Guanghan Wang, Volodymyr Kuleshov^†, Michael Elad^†

†Equal senior authorship

A foundational model for joint sequence-function multi-species modeling at scale for long-range genomic prediction

Sam Boshar, Benjamin Evans, Ziqi Tang, Armand Picard, Yanis Adel, Franziska K. Lorbeer, Chandana Rajesh, Tristan Karch, Shawn Sidbon, David Emms, Javier Mendoza-Revilla, Fatimah Al-Ani, Evan Seitz, Yair Schiff, Yohan Bornachot, Ariana Hernandez, Marie Lopez, Alexandre Laterre, Karim Beguir, Peter Koo, Volodymyr Kuleshov, Alexander Stark, Bernardo P. de Almeida, Thomas Pierrot

Learn from Your Mistakes: Self-Correcting Masked Diffusion Models

Yair Schiff^*, Omer Belhasin^*, Roy Uziel, Guanghan Wang, Marianne Arriola, Gilad Turok, Ran Zilberstein, Michael Elad^†, Volodymyr Kuleshov^†

*Equal contribution · †Equal senior authorship

d2: Improved Techniques for Training Reasoning Diffusion Language Models

Guanghan Wang, Gilad Turok, Yair Schiff, Volodymyr Kuleshov

Encoder-Decoder Diffusion Language Models for Efficient Training and Inference

Marianne Arriola^*, Yair Schiff^*, Hao Phung, Aaron Gokaslan, Volodymyr Kuleshov

*Equal contribution

Remasking Discrete Diffusion Models with Inference-Time Scaling

Guanghan Wang^*, Yair Schiff^*, Subham Sekhar Sahoo, Volodymyr Kuleshov

*Equal contribution

Cross-species plant genomes modeling at single nucleotide resolution using a pre-trained DNA language model

Jingjing Zhai, Aaron Gokaslan, Yair Schiff, Ana Berthel, Zong-Yan Liu, Zachary R Miller, Armin Scheben, Michelle C Stitzer, Cinta Romay, Edward S. Buckler, Volodymyr Kuleshov

Simple Guidance Mechanisms for Discrete Diffusion Models

Yair Schiff^*, Subham Sekhar Sahoo^*, Guanghan Wang^*, Hao Phung^*, Sam Boshar, Hugo Dalla-torre, Bernardo P de Almeida, Alexander Rush, Thomas Pierrot, Volodymyr Kuleshov

*Equal contribution

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

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

Brian Belgodere, Pierre Dognin, Adam Ivankay, Igor Melnyk, Youssef Mroueh, Aleksandra Mojsilovic, Jiri Navartil, Apoorva Nitsure, Inkit Padhi, Mattia Rigotti, Jerret Ross, Yair Schiff, Radhika Vedpathak, Richard A. Young

Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling

Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov

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

Advancing DNA Language Models: The Genomics Long-Range Benchmark

Evan Trop, Chia-Hsiang Kao, Mckinley Polen, Yair Schiff, Bernardo P. de Almeida, Aaron Gokaslan, Thomas Pierrot, Volodymyr Kuleshov

InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models

Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov

Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows

Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov

Learning with Stochastic Orders

Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh

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

Cloud-Based Real-Time Molecular Screening Platform with MolFormer

Brian Belgodere^*, Vijil Chenthamarakshan^*, Payel Das^*, Pierre Dognin^*, Toby Kurien^*, Igor Melnyk^*, Youssef Mroueh^*, Inkit Padhi^*, Mattia Rigotti^*, Jarret Ross^*, Yair Schiff^*, Richard A. Young^*

*Equal contribution, alphabetical order

Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks

David Alvarez-Melis, Yair Schiff, Youssef Mroueh

Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations

Yair Schiff^*, Vijil Chenthamarakshan^*, Samuel Hoffman^*, Karthikeyan Natesan Ramamurthy^*, Payel Das^*

*Equal contribution

Predicting Deep Neural Network Generalization with Perturbation Response Curves

Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

Gi and Pal Scores: Deep Neural Network Generalization Statistics

Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen

Tabular Transformers for Modeling Multivariate Time Series

Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre Dognin, Jarret Ross, Ravi Nair, Erik Altman

Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge

Pierre Dognin^*, Igor Melnyk^*, Youssef Mroueh^*, Inkit Padhi^*, Mattia Rigotti^*, Jarret Ross^*, Yair Schiff^*, Richard Young, Brian Belgodere

*Equal contribution

Characterizing the Latent Space of Molecular Deep Generative Models

Yair Schiff, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy, Payel Das

Alleviating Noisy Data in Image Captioning with Cooperative Distillation

Pierre Dognin^*, Igor Melnyk^*, Youssef Mroueh^*, Inkit Padhi^*, Mattia Rigotti^*, Jarret Ross^*, Yair Schiff^*

*Equal contribution, alphabetical order