A Model-based Analysis of Impulsivity using a Slot-machine Gambling Paradigm. - Saee Paliwal; Frederike Petzschner; Anna Katharina Schmitz; Marc Tittgemeyer; Klaas Enno Stephan (CogSci, 2014)

Inversion of hierarchical Bayesian models using Gaussian processes. - Ekaterina I. Lomakina; Saee Paliwal; Andreea Oliviana Diaconescu; Kay Henning Brodersen; Eduardo A. Aponte; Joachim M. Buhmann; Klaas E. Stephan (NeuroImage, 2015)

Perceived control in bounded-rational decision-making. - Saee Paliwal; Frederike Petzschner; Ekaterina I. Lomakina; Klaas Enno Stephan (CogSci, 2017)

Directed Graph Embeddings in Pseudo-Riemannian Manifolds. - Aaron Sim; Maciej Wiatrak; Angus Brayne; Páidí Creed; Saee Paliwal (ICML, 2021)

Pseudo-Riemannian Embedding Models for Multi-Relational Graph Representations. - Saee Paliwal; Angus Brayne; Benedek Fabian; Maciej Wiatrak; Aaron Sim (AKBC, 2022)

Molecule Generation with Fragment Retrieval Augmentation. - Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu 015; Danny Reidenbach; Saee Paliwal; Arash Vahdat; Weili Nie (NeurIPS, 2024)

LinkLogic: A New Method and Benchmark for Explainable Knowledge Graph Predictions. - Niraj Kumar Singh; Gustavo Polleti; Saee Paliwal; Rachel Hodos-Nkhereanye (CoRR, 2024)

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery. - Peter St. John; Dejun Lin; Polina Binder; Malcolm Greaves; Vega Shah; John St. John; Adrian Lange; Patrick D. Hsu; Rajesh Illango; Arvind Ramanathan; Anima Anandkumar; David H. Brookes; et al. (CoRR, 2024)

GenMol: A Drug Discovery Generalist with Discrete Diffusion. - Seul Lee; Karsten Kreis; Srimukh Prasad Veccham; Meng Liu 015; Danny Reidenbach; Yuxing Peng 005; Saee Paliwal; Weili Nie; Arash Vahdat (CoRR, 2025)

Applications of Modular Co-Design for De Novo 3D Molecule Generation. - Danny Reidenbach; Filipp Nikitin; Olexandr Isayev; Saee Paliwal (CoRR, 2025)