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CAST accepted to NeurIPS 2026

Two papers accepted at ICML 2026

Free Energy Mixer accepted to ICLR 2026

ZeroS accepted to NeurIPS 2025 (Spotlight)

Two papers accepted at ICML 2025

ICTSP accepted to ICLR 2025

CATS accepted at ICML 2024

ARM accepted at ICLR 2024

George Fellowship

Best Poster Award (1st Place), AASF AIX Summit 2026

Margaret and Stephen Kendrick PhD Student Fellowship for Research Excellence

M.H. Stewart Fellowship

CAST: Causal Anchored Simplex Transport for Distribution-Valued Time Series

NeurIPS 2026

HyperMLP: An Integrated Perspective for Sequence Modeling

ICML 2026

StretchTime: Adaptive Time Series Forecasting via Symplectic Attention

ICML 2026

Free Energy Mixer

ICLR 2026

ZeroS: Zero‑Sum Linear Attention for Efficient Transformers

NeurIPS 2025 (Spotlight)

Linear Transformers as VAR Models: Aligning Autoregressive Attention Mechanisms with Autoregressive Forecasting

ICML 2025 (Poster), PMLR 267: 40848–40867

WAVE: Weighted Autoregressive Varying Gate for Time Series Forecasting

ICML 2025 (Poster), PMLR 267: 40464–40490

In‑context Time Series Predictor

ICLR 2025 (Poster)

CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables

ICML 2024 (Poster), PMLR 235: 32990–33006

ARM: Refining Multivariate Forecasting with Adaptive Temporal‑Contextual Learning

ICLR 2024 (Poster)

Rethinking Sequence Modeling: LLM Scaling Laws, Expressivity-Efficiency Tradeoffs, and the Role of Architecture

Rethinking Sequence Modeling with HyperMLP: An Integrated Architectural Perspective

Rethinking Sequence Modeling: LLM Scaling Laws, Expressivity-Efficiency Tradeoffs, and the Role of Architecture

ISyE 4031 Regression and Forecasting

Independent Instructor, Georgia Institute of Technology