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Esmeralda S. Whitammer

Amortizing intractable inference in large language models
2023 · Hu, Edward J., Jain, Moksh, et al. · arXiv (Cornell University) · 53
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Learning diverse attacks on large language models for robust red-teaming and safety tuning
2024 · Lee, Seanie, Kim, Minsu, et al. · arXiv (Cornell University) · 48
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GFlowNets and variational inference
2022 · Whitammer, Esmeralda S., Lahlou, Salem, et al. · arXiv (Cornell University) · 46
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A Comedy of Estimators: On KL Regularization in RL Training of LLMs
2025 · Shah, Vedant, Obando-Ceron, Johan, et al. · arXiv (Cornell University) · 24
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Let the Flows Tell: Solving Graph Combinatorial Optimization Problems with GFlowNets
2023 · Zhang, Dinghuai, Dai, Hanjun, et al. · arXiv (Cornell University) · 18
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PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation
2024 · Lemos, Pablo, Sharief, Sammy, et al. · arXiv (Cornell University) · 12
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PhyloGFN: Phylogenetic inference with generative flow networks
2023 · Zhou, Mingyang, Yan, Zichao, et al. · arXiv (Cornell University) · 11
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Imperfect World Models are Exploitable
2026 · Bhamidipaty, Logan Mondal, Whitammer, Esmeralda S., et al. · arXiv (Cornell University) · 7
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Action abstractions for amortized sampling
2024 · Boussif, Oussama, Ezzine, Léna Néhale, et al. · arXiv (Cornell University) · 7
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Adaptive teachers for amortized samplers
2024 · Kim, Minsu, Choi, Sanghyeok, et al. · arXiv (Cornell University) · 6
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Expected flow networks in stochastic environments and two-player zero-sum games
2023 · Jiralerspong, Marco, Sun, Bilun, et al. · arXiv (Cornell University) · 6
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Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
2025 · Jiralerspong, Marco, Derman, Esther, et al. · arXiv (Cornell University) · 2
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KV-streams for Efficient Compaction in Agentic Reinforcement Learning
2026 · Penaloza, Emiliano, Malenfant, Dane, et al. · arXiv (Cornell University) · 1
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Discrete diffusion samplers and bridges: Off-policy algorithms and applications in latent spaces
2026 · Carter, Arran, Choi, Sanghyeok, et al. · arXiv (Cornell University) · 1
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Forgetting is Everywhere
2025 · Sanati, Ben, Lee, Thomas L., et al. · arXiv (Cornell University) · 1
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On the Generation Order in GFlowNets
2026 · Gritsaev, Timofei, Katasonov, Evgeny, et al. · arXiv (Cornell University)
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Amortised adaptive importance sampling
2026 · Carter, Arran, Elvira, Víctor, et al. · arXiv (Cornell University)
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Amortised Inference through One-Step Implicit Sampling
2026 · Pauline, Vincent, Tamogashev, Kirill, et al. · arXiv (Cornell University)
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One for All, All for One: Coordinated Multi-Agent Diffusion Steering via Stochastic Optimal Control
2026 · Barbano, Riccardo, Pauline, Vincent, et al. · arXiv (Cornell University)
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Strategically Diverse Sampling for Self-Training
2026 · Gurung, Alexander, Whitammer, Esmeralda S., et al. · arXiv (Cornell University)
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Bayesian Symbolic Regression with Entropic Reinforcement Learning
2026 · Boussif, Oussama, Mahfoud, Mohammed, et al. · arXiv (Cornell University)
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Path-dependent Discrete Amortized Inference
2026 · da Silva, Tiago, Whitammer, Esmeralda S., et al. · arXiv (Cornell University)
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Optimal Transport Q-Learning for Flow Policy Steering and Acceleration
2026 · Sochopoulos, Andreas, Whitammer, Esmeralda S., et al. · arXiv (Cornell University)
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Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels
2026 · Korolev, Kirill, Morozov, Nikita, et al. · arXiv (Cornell University)
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Generalised latent slice sampling
2026 · Tamogashev, Kirill, Choi, Sanghyeok, et al. · Edinburgh Research Explorer (University of Edinburgh)
Works count: 31
Citation count: 248
H-index: 7
I10-index: 7
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