Yair Schiff

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Multivariate Time Series

Granger Causality

Top Venues

Publications

Yair Schiff, Zhong Yi Wan, Jeffrey B. Parker, Stephan Hoyer, Volodymyr Kuleshov, Fei Sha, Leonardo Zepeda-Núñez
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems. CoRR (2024)
Subham Sekhar Sahoo, Marianne Arriola, Yair Schiff, Aaron Gokaslan, Edgar Marroquin, Justin T. Chiu, Alexander M. Rush, Volodymyr Kuleshov
Simple and Effective Masked Diffusion Language Models. CoRR (2024)
Yair Schiff, Chia-Hsiang Kao, Aaron Gokaslan, Tri Dao, Albert Gu, Volodymyr Kuleshov
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling. CoRR (2024)
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. ICML (2023)
Phillip Si, Zeyi Chen, Subham Sekhar Sahoo, Yair Schiff, Volodymyr Kuleshov
Semi-Autoregressive Energy Flows: Exploring Likelihood-Free Training of Normalizing Flows. ICML (2023)
Richa Rastogi, Yair Schiff, Alon Hacohen, Zhaozhi Li, Ian Lee, Yuntian Deng, Mert R. Sabuncu, Volodymyr Kuleshov
Semi-Parametric Inducing Point Networks and Neural Processes. ICLR (2023)
Yingheng Wang, Yair Schiff, Aaron Gokaslan, Weishen Pan, Fei Wang, Christopher De Sa, Volodymyr Kuleshov
InfoDiffusion: Representation Learning Using Information Maximizing Diffusion Models. CoRR (2023)
Brian Belgodere, Pierre L. 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
Auditing and Generating Synthetic Data with Controllable Trust Trade-offs. CoRR (2023)
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning with Stochastic Orders. ICLR (2023)
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning with Stochastic Orders. CoRR (2022)
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
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. ECML/PKDD (6) (2022)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. J. Artif. Intell. Res. 73 (2022)
David Alvarez-Melis, Yair Schiff, Youssef Mroueh
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. Trans. Mach. Learn. Res. 2022 (2022)
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
Cloud-Based Real-Time Molecular Screening Platform with MolFormer. CoRR (2022)
Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations. ICASSP (2022)
David Alvarez-Melis, Yair Schiff, Youssef Mroueh
Optimizing Functionals on the Space of Probabilities with Input Convex Neural Networks. CoRR (2021)
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
Predicting Deep Neural Network Generalization with Perturbation Response Curves. CoRR (2021)
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
Predicting Deep Neural Network Generalization with Perturbation Response Curves. NeurIPS (2021)
Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das
Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations. CoRR (2021)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. ICASSP (2021)
Yair Schiff, Brian Quanz, Payel Das, Pin-Yu Chen
Gi and Pal Scores: Deep Neural Network Generalization Statistics. CoRR (2021)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff
Alleviating Noisy Data in Image Captioning with Cooperative Distillation. CoRR (2020)
Inkit Padhi, Yair Schiff, Igor Melnyk, Mattia Rigotti, Youssef Mroueh, Pierre L. Dognin, Jerret Ross, Ravi Nair, Erik Altman
Tabular Transformers for Modeling Multivariate Time Series. CoRR (2020)
Yair Schiff, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy, Payel Das
Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics. CoRR (2020)
Pierre L. Dognin, Igor Melnyk, Youssef Mroueh, Inkit Padhi, Mattia Rigotti, Jarret Ross, Yair Schiff, Richard A. Young, Brian Belgodere
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 Challenge. CoRR (2020)