LCA: Loss Change Allocation for Neural Network Training. - Janice Lan; Rosanne Liu; Hattie Zhou; Jason Yosinski (NeurIPS, 2019)

Deconstructing Lottery Tickets: Zeros, Signs, and the Supermask. - Hattie Zhou; Janice Lan; Rosanne Liu; Jason Yosinski (NeurIPS, 2019)

First-Order Preconditioning via Hypergradient Descent. - Ted Moskovitz; Rui Wang 052; Janice Lan; Sanyam Kapoor; Thomas Miconi; Jason Yosinski; Aditya Rawal (CoRR, 2019)

Plug and Play Language Models: A Simple Approach to Controlled Text Generation. - Sumanth Dathathri; Andrea Madotto; Janice Lan; Jane Hung; Eric Frank; Piero Molino; Jason Yosinski; Rosanne Liu (ICLR, 2020)

The Open Catalyst Challenge 2021: Competition Report. - Abhishek Das; Muhammed Shuaibi; Aini Palizhati; Siddharth Goyal; Aditya Grover; Adeesh Kolluru; Janice Lan; Ammar Rizvi; Anuroop Sriram; Brandon M. Wood; Devi Parikh; Zachary W. Ulissi; et al. (NeurIPS (Competition and Demos), 2021)

Spherical Channels for Modeling Atomic Interactions. - Larry Zitnick; Abhishek Das; Adeesh Kolluru; Janice Lan; Muhammed Shuaibi; Anuroop Sriram; Zachary W. Ulissi; Brandon M. Wood (NeurIPS, 2022)

The Open Catalyst 2022 (OC22) Dataset and Challenges for Oxide Electrocatalysis. - Richard Tran; Janice Lan; Muhammed Shuaibi; Siddharth Goyal; Brandon M. Wood; Abhishek Das; Javier Heras-Domingo; Adeesh Kolluru; Ammar Rizvi; Nima Shoghi; Anuroop Sriram; Zachary W. Ulissi; et al. (CoRR, 2022)

AdsorbML: Accelerating Adsorption Energy Calculations with Machine Learning. - Janice Lan; Aini Palizhati; Muhammed Shuaibi; Brandon M. Wood; Brook Wander; Abhishek Das; Matt Uyttendaele; C. Lawrence Zitnick; Zachary W. Ulissi (CoRR, 2022)

Rotationally Invariant Latent Distances for Uncertainty Estimation of Relaxed Energy Predictions by Graph Neural Network Potentials. - Joseph Musielewicz; Janice Lan; Matt Uyttendaele; John R. Kitchin (CoRR, 2024)

Thinking LLMs: General Instruction Following with Thought Generation. - Tianhao Wu 002; Janice Lan; Weizhe Yuan; Jiantao Jiao; Jason Weston; Sainbayar Sukhbaatar (CoRR, 2024)

LLM Pretraining with Continuous Concepts. - Jihoon Tack; Jack Lanchantin; Jane Yu; Andrew Cohen; Ilia Kulikov; Janice Lan; Shibo Hao; Yuandong Tian; Jason Weston; Xian Li 003 (CoRR, 2025)

Bridging Offline and Online Reinforcement Learning for LLMs. - Jack Lanchantin; Angelica Chen; Janice Lan; Xian Li 003; Swarnadeep Saha; Tianlu Wang; Jing Xu; Ping Yu; Weizhe Yuan; Jason E. Weston; Sainbayar Sukhbaatar; Ilia Kulikov (CoRR, 2025)