Madan, Kanika

9 publications

NeurIPS 2025 Majority of the Bests: Improving Best-of-N via Bootstrapping Amin Rakhsha, Kanika Madan, Tianyu Zhang, Amir-massoud Farahmand, Amir Khasahmadi

ICLR 2025 Towards Improving Exploration Through Sibling Augmented GFlowNets Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio

ICLR 2024 Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio

NeurIPSW 2023 Causal Discovery in Gene Regulatory Networks with GFlowNet: Towards Scalability in Large Systems Trang Nguyen, Alexander Tong, Kanika Madan, Yoshua Bengio, Dianbo Liu

ICML 2023 Learning GFlowNets from Partial Episodes for Improved Convergence and Stability Kanika Madan, Jarrid Rector-Brooks, Maksym Korablyov, Emmanuel Bengio, Moksh Jain, Andrei Cristian Nica, Tom Bosc, Yoshua Bengio, Nikolay Malkin

NeurIPSW 2023 Pre-Training and Fine-Tuning Generative Flow Networks Ling Pan, Moksh Jain, Kanika Madan, Yoshua Bengio

NeurIPS 2023 Reusable Slotwise Mechanisms Trang Nguyen, Amin Mansouri, Kanika Madan, Khuong Duy Nguyen, Kartik Ahuja, Dianbo Liu, Yoshua Bengio

ICMLW 2023 Thompson Sampling for Improved Exploration in GFlowNets Jarrid Rector-Brooks, Kanika Madan, Moksh Jain, Maksym Korablyov, Cheng-Hao Liu, Sarath Chandar, Nikolay Malkin, Yoshua Bengio

ICLR 2021 Fast and Slow Learning of Recurrent Independent Mechanisms Kanika Madan, Nan Rosemary Ke, Anirudh Goyal, Bernhard Schölkopf, Yoshua Bengio