Yair Schiff

Publications

• 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
  NeurIPS 2024
  [Paper] , [Site] , [Code]
• 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
  IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  [Paper]
• Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
  Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov
  ICML 2024
  [Paper] , [Site] , [Code] , [Slides] , [Video]
• 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
  ICML 2024
  [Paper] , [Code] , [Slides] , [Video]
• InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models
  Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
  ICML 2023
  [Paper] , [Video]
• Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows
  Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov
  ICML 2023
  [Paper] , [Video]
• Learning with Stochastic Orders
  Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
  ICLR 2023 , Notable Top 25% acceptance
  [Paper] , [Code] , [Slides] , [Video]
• 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
  ICLR 2023
  [Paper] , [Code] , [Slides] , [Video]
• 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)
  ECML PKDD 2022 Demo Track
  [Paper]
• Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks
  David Alvarez-Melis, Yair Schiff, Youssef Mroueh
  Transactions of Machine Learning Research
  OTML NeurIPS Workshop 2021, Spotlight presentation
  [Paper] , [Code] , [Slides] , [Video]
• Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations
  Yair Schiff*, Vijil Chenthamarakshan*, Samuel Hoffman*, Karthikeyan Natesan Ramamurthy*, Payel Das* (*equal contribution)
  ICASSP 2022
  [Paper]
• Predicting Deep Neural Network Generalization with Perturbation Response Curves
  Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
  NeurIPS 2021
  [Paper] , [Slides] , [Video]
• 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
  ICASSP 2021
  [Paper] , [Code]
• 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)
  Journal of AI Research
  [Paper] , [Slides]

Workshops

• 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
  LLMs4Bio AAAI Workshop 2024,  MLGenX ICLR Workshop 2024
  [Paper]
• Gi and Pal Scores: Deep Neural Network Generalization Statistics
  Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
  RobustML ICLR Workshop 2021
  [Paper]
• Characterizing the Latent Space of Molecular Deep Generative Models
  Yair Schiff, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy, Payel Das
  TDA & Beyond NeurIPS Workshop 2020 , Spotlight presentation
  [Paper] , [Slides] , [Video]
• 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)
  VizWiz CVPR Workshop 2020
  [Paper] , [Slides]

Preprints

• 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
  [Paper]